Careers | Phone Book | A - Z Index

Recent Publications

(2016 to Present)

»Generate Full List (May take up to 30 seconds to load.)

Mark F Adams

2017

R Hager, J Lang, CS Chang, S Ku, Y Chen, SE Parker, MF Adams, "Verification of long wavelength electromagnetic modes with a gyrokinetic-fluid hybrid model in the XGC code", Physics of Plasmas, 2017, 24, doi: 10.1063/1.4983320

E Hirvijoki, MF Adams, "Conservative discretization of the Landau collision integral", Physics of Plasmas, 2017, 24, doi: 10.1063/1.4979122

MF Adams, E Hirvijoki, MG Knepley, J Brown, T Isaac, R Mills, "Landau Collision Integral Solver with Adaptive Mesh Refinement on Emerging Architectures", SIAM J. Sci. Comput., 2017, 39:C452--C465, doi: 10.1137/17M1118828

2016

Mark Adams, Samuel Williams, HPGMG BoF - Introduction, HPGMG BoF, Supercomputing, November 2016,

Mark Adams, Jed Brown, Matt Knepley, Ravi Samtaney, "Segmental Refinement: A Multigrid Technique for Data Locality", SIAM J. Sci. Comput., 2016, 38:4,

Samuel Williams, Mark Adams, Brian Van Straalen, Performance Portability in Hybrid and Heterogeneous Multigrid Solvers, Copper Moutain, March 2016,

Deb Agarwal

2019

C. Varadharajan, S. Cholia, C. Snavely, V. Hendrix, C. Procopiou, D. Swantek, W. J. Riley, and D. A. Agarwal, "Launching an accessible archive of environmental data", Eos, 100, January 8, 2019, doi: https://doi.org/10.1029/2019EO111263

2018

DC Miller, JD Siirola, D Agarwal, AP Burgard, A Lee, JC Eslick, B Nicholson, C Laird, LT Biegler, D Bhattacharyya, NV Sahinidis, IE Grossmann, CE Gounaris, D Gunter, "Next Generation Multi-Scale Process Systems Engineering Framework", Computer Aided Chemical Engineering, 2018, 44:2209--2214, doi: 10.1016/B978-0-444-64241-7.50363-3

B Faybishenko, F Molz, D Agarwal, "Nonlinear dynamics simulations of microbial ecological processes: Model, diagnostic parameters of deterministic chaos, and sensitivity analysis", Springer Proceedings in Mathematics and Statistics, ( 2018) Pages: 437--465 doi: 10.1007/978-3-030-02825-1_19

D Ghoshal, L Ramakrishnan, D Agarwal, "Dac-Man: Data Change Management for Scientific Datasets on HPC Systems", SC ’18, Piscataway, NJ, USA, IEEE Press, 2018, 72:1--72:1,

2017

Gilberto Z. Pastorello, Dario Papale, Housen Chu, Carlo Trotta, Deb A. Agarwal, Eleonora Canfora, Dennis D. Baldocchi, M. S. Torn, "A new data set to keep a sharper eye on land-air exchanges", Eos, 2017, 98:28-32, doi: 10.1029/2017EO071597

DA Agarwal, C Varadharajan, S Cholia, C Snavely, VC Hendrix, D Gunter, WJ Riley, M jones, AE budden, D Vieglas, Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE)-A New US DOE Data Archive, 2017,

Danielle S. Christianson, Charuleka Varadharajan, Bradley Christoffersen, Matteo Detto, Faybishenko, Bruno O. Gimenez, Val C. Hendrix, Kolby J. Jardine, Robinson Negron-Juarez, Z. Pastorello, Thomas L. Powell, Megha Sandesh, Jeffrey M. Warren, Brett T. Wolfe, Jeffrey Q. Chambers, Lara M. Kueppers, Nathan G. McDowell, Deborah A. Agarwal, "A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations", Ecological Informatics, 2017, 42:148-158, doi: 10.1016/j.ecoinf.2017.06.002

D Guyon, AC Orgerie, C Morin, D Agarwal, "How Much Energy Can Green HPC Cloud Users Save?", Proceedings - 2017 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2017, 2017, 416--420, doi: 10.1109/PDP.2017.62

YW Cheah, J Boverhof, A Elbashandy, D Agarwal, J Leek, T Epperly, J Eslick, D Miller, "Data management and simulation support accelerating carbon capture through computing", Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016, 2017, 389--398, doi: 10.1109/eScience.2016.7870924

Gilberto Z. Pastorello, Dan K. Gunter, Housen Chu, Danielle S. Christianson, Carlo Trotta, Eleonora Canfora, Boris Faybishenko, You-Wei Cheah, Norm Beekwilder, Stephen W. Chan, Sigrid Dengel, Trevor Keenan, Fianna O Brien, Abderahman Elbashandy, Cristina M. Poindexter, Marty Humphrey, Dario Papale, Deb A. Agarwal, "Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures", Proceedings of the 13th IEEE International Conference on e-Science (e-Science 2017), Auckland, New Zealand, 2017, doi: 10.1109/eScience.2017.64

2016

DA Agarwal, B Faybishenko, VL Freedman, H Krishnan, G Kushner, C Lansing, E Porter, A Romosan, A Shoshani, H Wainwright, A Weidmer, K Wu, "A science data gateway for environmental management", Concurrency Computation, 2016, 28:1994--2004, doi: 10.1002/cpe.3697

DC Miller, D Agarwal, D Bhattacharyya, J Boverhof, YW Cheah, Y Chen, J Eslick, J Leek, J Ma, P Mahapatra, B Ng, NV Sahinidis, C Tong, SE Zitney, "Innovative computational tools and models for the design, optimization and control of carbon capture processes", Computer Aided Chemical Engineering, 2016, 38:2391--2396, doi: 10.1016/B978-0-444-63428-3.50403-3

Hadia Ahmed

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

2018

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

Hasan Metin Aktulga

2018

Meiyue Shao, Hasan Metin Aktulga, Chao Yang, Esmond G. Ng, Pieter Maris, James P. Vary, "Accelerating nuclear configuration interaction calculations through a preconditioned block iterative eigensolver", Computer Physics Communications, 2018, 222:1--13, doi: 10.1016/j.cpc.2017.09.004

2016

Hasan Metin Aktulga, Md. Afibuzzaman, Samuel Williams, Aydın Buluc, Meiyue Shao, Chao Yang, Esmond G. Ng, Pieter Maris, James P. Vary, "A High Performance Block Eigensolver for Nuclear Configuration Interaction Calculations", IEEE Transactions on Parallel and Distributed Systems (TPDS), November 2016, doi: 10.1109/TPDS.2016.2630699

Ann S. Almgren

2018

JL Vay, A Almgren, J Bell, L Ge, DP Grote, M Hogan, O Kononenko, R Lehe, A Myers, C Ng, J Park, R Ryne, O Shapoval, M Thévenet, W Zhang, "Warp-X: A new exascale computing platform for beam-plasma simulations", Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2018, doi: 10.1016/j.nima.2018.01.035

M Zingale, AS Almgren, MG Barrios Sazo, VE Beckner, JB Bell, B Friesen, AM Jacobs, MP Katz, CM Malone, AJ Nonaka, DE Willcox, W Zhang, "Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite", Journal of Physics: Conference Series, 2018, 1031, doi: 10.1088/1742-6596/1031/1/012024

JL Vay, A Almgren, J Bell, L Ge, DP Grote, M Hogan, O Kononenko, R Lehe, A Myers, C Ng, J Park, R Ryne, O Shapoval, M Thévenet, W Zhang, "Warp-X: A new exascale computing platform for beam–plasma simulations", Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2018, 909:476--479, doi: 10.1016/j.nima.2018.01.035

Knut Sverdrup, Nikolaos Nikiforakis, Ann S. Almgren, "Highly parallelisable simulations of time-dependent viscoplastic fluid flow simulations with structured adaptive mesh refinement", Physics of Fluids, 30:9, 2018,

E. Motheau, M. Duarte, A. Almgren, J. Bell,, "A Hybrid Adaptive Low-Mach-Number/Compressible Method: Euler Equations", J. Comp. Phys., Vol 372, Pages 1027-1047, 2018,

2017

T Nguyen, D Unat, W Zhang, A Almgren, N Farooqi, J Shalf, "Perilla: Metadata-Based Optimizations of an Asynchronous Runtime for Adaptive Mesh Refinement", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, January 1, 2017, 945--956, doi: 10.1109/SC.2016.80

MN Farooqi, D Unat, T Nguyen, W Zhang, A Almgren, J Shalf, "Nonintrusive AMR asynchrony for communication optimization", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), January 1, 2017, 10417 LN:682--694, doi: 10.1007/978-3-319-64203-1_49

E Motheau, A Almgren, JB Bell, "Navier-Stokes characteristic boundary conditions using ghost cells", AIAA Journal, 2017, 55:3399--3408, doi: 10.2514/1.J055885

B. Bastem, D. Unat, W. Zhang, A. Almgren, J. Shalf, "Overlapping Data Transfers with Computation on GPU with Tiles", 2017 46th International Conference on Parallel Processing (ICPP), pp. 171-180, 2017,

2016

Cy Chan, John Bachan, Joseph Kenny, Jeremiah Wilke, Vincent Beckner, Ann Almgren, John Bell, "Topology-Aware Performance Optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale", (BEST PAPER AWARD) COMHPC 2016 - SC16 Workshop on Communication Optimization in High Performance Computing, Salt Lake City, UT, November 18, 2016,

Best Paper Award

Brian Friesen, Ann Almgren, Zarija Lukić, Gunther Weber, Dmitriy Morozov, Vincent Beckner, Marcus Day, "In situ and in-transit analysis of cosmological simulations", Computational Astrophysics and Cosmology, 2016, 3 (4):1-18,

Weiqun Zhang, Ann Almgren, Marcus Day, Tan Nguyen, John Shalf, Didem Unat, "BoxLib with Tiling: An AMR Software Framework", SIAM Journal on Scientific Computing, 2016,

S. Habib, R. Roser, R. Gerber, K. Antypas, K. Riley, T. Williams, J. Wells, T. Straatsma, A. Almgren, J. Amundson, S. Bailey, D. Bard, K. Bloom, B. Bockelman, A. Borgland, J. Borrill, R. Boughezal, R. Brower, B. Cowan, H. Finkel, N. Frontiere, S. Fuess, L. Ge, N. Gnedin, S. Gottlieb, O. Gutsche, T. Han, K. Heitmann, S. Hoeche, K. Ko, O. Kononenko, T. LeCompte, Z. Li, Z. Lukic, W. Mori, P. Nugent, C.-K. Ng, G. Oleynik, B. O'Shea, N. Padmanabhan, D. Petravick, F.J. Petriello, J. Power, J. Qiang, L. Reina, T.J. Rizzo, R. Ryne, M. Schram, P. Spentzouris, D. Toussaint, J.-L. Vay, B. Viren, F. Wurthwein, L. Xiao, "ASCR/HEP Exascale Requirements Review Report", arXiv:1603.09303, 2016,

D Unat, T Nguyen, W Zhang, MN Farooqi, B Bastem, G Michelogiannakis, A Almgren, J Shalf, "TiDA: High-level programming abstractions for data locality management", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), January 2016, 9697:116--135, doi: 10.1007/978-3-319-41321-1_7

AM Jacobs, M Zingale, A Nonaka, AS Almgren, JB Bell, "Low Mach Number Modeling of Convection in Helium Shells on Sub-Chandrasekhar White Dwarfs. II. Bulk Properties of Simple Models", Astrophysical Journal, 2016, 827, doi: 10.3847/0004-637X/827/1/84

Cecilia Aragon

2016

NC Chen, SS Poon, L Ramakrishnan, CR Aragon, "Considering time in designing Large-Scale systems for scientific computing", Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, 2016, 27:1535--1547, doi: 10.1145/2818048.2819988

Brian Austin

2017

Brandon Cook, Thorsten Kurth, Brian Austin, Samuel Williams, Jack Deslippe, "Performance Variability on Xeon Phi", Intel Xeon Phi Users Group (IXPUG), June 2017,

Ariful Azad

2018

Ariful Azad, Georgios A. Pavlopoulos, Christos A. Ouzounis, Nikos C. Kyrpides, Aydin Buluç, "HipMCL: A high-performance parallel implementation of the Markov cluster algorithm for large scale networks", Nucleic Acids Research, April 2018,

P Koanantakool, A Ali, A Azad, A Buluç, D Morozov, L Oliker, KA Yelick, S-Y Oh, "Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.", Proceedings of Machine Learning Research, PMLR, 2018, 84:1376--1386,

2017

Ariful Azad, Aydin Buluc, "Towards a GraphBLAS Library in Chapel", IPDPS Workshops, Orlando, FL, May 2017,

Ariful Azad, Aydin Buluc, "A work-efficient parallel sparse matrix-sparse vector multiplication algorithm", IEEE International Parallel & Distributed Processing Symposium (IPDPS), Orlando, FL, May 2017,

Ariful Azad, Mathias Jacquelin, Aydin Bulu\cc, Esmond G Ng, "The reverse Cuthill-McKee algorithm in distributed-memory", Parallel and Distributed Processing Symposium (IPDPS), 2017 IEEE International, January 2017, 22--31,

2016

Ariful Azad, Grey Ballard, Aydin Buluc, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams, "Exploiting multiple levels of parallelism in sparse matrix-matrix multiplication", SIAM Journal on Scientific Computing, 38(6), C624–C651, November 2016, doi: 10.1137/15M104253X

Ariful Azad, Bartek Rajwa, Alex Pothen, "Immunophenotype Discovery, Hierarchical Organization, and Template-based Classification of Flow Cytometry Samples", Frontiers in Oncology, August 31, 2016,

Ariful Azad, Bartek Rajwa, Alex Pothen, "flowVS: Channel-Speci c Variance Stabilization in Flow Cytometry", BMC Bioinformatics, June 2016,

Ariful Azad, Aydın Buluç, "A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs", Parallel Computing, June 2016,

Ariful Azad, Aydin Buluç, "Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs", IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 2016,

Ariful Azad, Aydın Buluç, Alex Pothen, "Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting", IEEE Transactions on Parallel and Distributed Systems (TPDS), May 2016,

Ariful Azad, Aydın Buluç, Distributed-memory algorithms for cardinality matching using matrix algebra, SIAM Conference on Parallel Processing for Scientific Computing (PP), Paris, France, April 2016,

P Koanantakool, A Azad, A Buluc, D Morozov, SY Oh, L Oliker, K Yelick, "Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication", Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, January 2016, 842--853, doi: 10.1109/IPDPS.2016.117

John Bachan

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2019.3.0", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001191, doi: 10.25344/S4F301

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 10", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001192, doi: 10.25344/S4JS30

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

2018

Maximilian H Bremer, John D Bachan, Cy P Chan, "Semi-Static and Dynamic Load Balancing for Asynchronous Hurricane Storm Surge Simulations", 2018 Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), November 16, 2018,

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

Cy P Chan, Bin Wang, John D Bachan, Jane Macfarlane, "Mobiliti: Scalable Transportation Simulation Using High-Performance Parallel Computing", 2018 IEEE International Conference on Intelligent Transportation Systems (ITSC), November 6, 2018,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2018.9.0", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001180, doi: 10.25344/S49G6V

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 8", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001179, doi: 10.25344/S45P4X

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Bin Wang, John D Bachan, Cy P Chan, "ExaGridPF: A parallel power flow solver for transmission and unbalanced distribution systems", 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), February 22, 2018,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

2017

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

John Bachan, Dan Bonachea, Paul H Hargrove, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, Scott B Baden, "The UPC++ PGAS library for Exascale Computing", Proceedings of the Second Annual PGAS Applications Workshop, January 1, 2017, 7,

We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, and futures. Global pointers incorporate ownership information useful in optimizing for locality. Futures capture data readiness state, are useful for scheduling and also enable the programmer to chain operations to execute asynchronously as high-latency dependencies become satisfied, via continuations. The interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and closely resemble those used in modern C++. Communication in UPC++ runs at close to hardware speeds by utilizing the low-overhead GASNet-EX communication library.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2017., January 2017,

2016

Cy Chan, John Bachan, Joseph Kenny, Jeremiah Wilke, Vincent Beckner, Ann Almgren, John Bell, "Topology-Aware Performance Optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale", (BEST PAPER AWARD) COMHPC 2016 - SC16 Workshop on Communication Optimization in High Performance Computing, Salt Lake City, UT, November 18, 2016,

Best Paper Award

George Michelogiannakis, John Shalf, David Donofrio, John Bachan,, "Continuing the Scaling of Digital Computing Post Moore’s Law", LBNL report, April 2016, LBNL 1005126,

The approaching end of traditional CMOS technology scaling that up until now followed Moore's law is coming to an end in the next decade. However, the DOE has come to depend on the rapid, predictable, and cheap scaling of computing performance to meet mission needs for scientific theory, large scale experiments, and national security. Moving forward, performance scaling of digital computing will need to originate from energy and cost reductions that are a result of novel architectures, devices, manufacturing technologies, and programming models. The deeper issue presented by these changes is the threat to DOE’s mission and to the future economic growth of the U.S. computing industry and to society as a whole. With the impending end of Moore’s law, it is imperative for the Office of Advanced Scientific Computing Research (ASCR) to develop a balanced research agenda to assess the viability of novel semiconductor technologies and navigate the ensuing challenges. This report identifies four areas and research directions for ASCR and how each can be used to preserve performance scaling of digital computing beyond exascale and after Moore's law ends.

Scott Baden

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2019.3.0", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001191, doi: 10.25344/S4F301

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 10", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001192, doi: 10.25344/S4JS30

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

Scott B. Baden, Paul H. Hargrove, Dan Bonachea, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - GASNet-EX", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

2018

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2018.9.0", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001180, doi: 10.25344/S49G6V

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 8", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001179, doi: 10.25344/S45P4X

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott Baden, Dan Bonachea, Paul Hargrove, "GASNet-EX: PGAS Support for Exascale Apps and Runtimes", ECP Annual Meeting 2018, February 2018,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

2017

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

SM Martin, MJ Berger, SB Baden, "Toucan-A Translator for Communication Tolerant MPI Applications", Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017, June 2017, 998-1007, doi: 10.1109/IPDPS.2017.44

We discuss early results with Toucan, a source-to-source  translator that automatically restructures C/C++ MPI applications to overlap communication with computation. We co-designed the translator and runtime system to enable dynamic, dependence-driven execution of MPI applications, and require only a modest amount of programmer annotation. Co-design was essential to realizing overlap through dynamic code block reordering and avoiding the limitations of static code relocation and inlining. We demonstrate that Toucan hides significant communication in four representative applications running on up to 24K cores of NERSC's Edison platform. Using Toucan, we have hidden from 33% to 85% of the communication overhead, with performance meeting or exceeding that of painstakingly hand-written overlap variants. © 2017 IEEE.

Tan Nguyen, Pietro Cicotti, Eric Bylaska, Dan Quinlan, and Scott Baden, "Automatic Translation of MPI Source into a Latency-tolerant, Data-driven Form", Journal of Parallel and Distributed Computing, February 21, 2017,

John Bachan, Dan Bonachea, Paul H Hargrove, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, Scott B Baden, "The UPC++ PGAS library for Exascale Computing", Proceedings of the Second Annual PGAS Applications Workshop, January 1, 2017, 7,

We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, and futures. Global pointers incorporate ownership information useful in optimizing for locality. Futures capture data readiness state, are useful for scheduling and also enable the programmer to chain operations to execute asynchronously as high-latency dependencies become satisfied, via continuations. The interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and closely resemble those used in modern C++. Communication in UPC++ runs at close to hardware speeds by utilizing the low-overhead GASNet-EX communication library.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2017., January 2017,

Zhaojun Bai

2018

R. Van Beeumen, O. Marques, E.G. Ng, C. Yang, Z. Bai, L. Ge, O. Kononenko, Z. Li, C.-K. Ng, L. Xiao, "Computing resonant modes of accelerator cavities by solving nonlinear eigenvalue problems via rational approximation", Journal of Computational Physics, 2018, 374:1031-1043, doi: 10.1016/j.jcp.2018.08.017

David H. Bailey

2016

David H. Bailey, Jonathan M. Borwein, "Computation and experimental evaluation of Mordell-Tornheim-Witten sum derivatives", Experimental Mathematics, August 29, 2016,

David H. Bailey, Jonathan M. Borwein, Jason Kimberley, Watson Ladd, "Computer discovery and analysis of large Poisson polynomials", Experimental Mathematics, August 27, 2016, doi: http://dx.doi.org/10.1080/10586458.2016.1180565

David H. Bailey, Jonathan M. Borwein, Richard Brent, Mohsen Reisi Ardali, "Reproducibility in computational science: a case study: Randomness of the digits of Pi", Experimental mathematics, August 24, 2016, doi: http://dx.doi.org/10.1080/10586458.2016.1163755

David H. Bailey and Jonathan M. Borwein, "A computational mathematics view of space, time and complexity", Space, Time and the Limits of Human Understanding, edited by Shyam Wuppuluri, Giancarlo Ghirardi, (Springer: August 1, 2016)

David H. Bailey, Jonathan M. Borwein, Marcos Lopez de Prado, "Stock portfolio design and backtest overfitting", Journal of Investment Management, July 19, 2016,

David H. Bailey, Jonathan M. Borwein, Marcos Lopez de Prado,, "Backtest overfitting in financial markets", Journal of Portfolio Management, July 19, 2016,

David H. Bailey, Jonathan M. Borwein, Victoria Stodden, "Facilitating reproducibility in scientific computing: Principles and practice", Reproducibility: Principles, Problems, Practices, edited by Harald Atmanspacher, Sabine Maasen, (John Wiley and Sons: June 1, 2016)

David H. Bailey, Jonathan M. Borwein, Marcos Lopez de Prado, "Backtest overfitting in financial markets", Automated Trader, March 16, 2016, to appea,

Cuong Nguyen, Cindy Rubio-Gonzalez, Benjamin Mehne, Koushik Sen, Costin Iancu, James Demmel, William Kahan, Wim Lavrijsen, David H. Bailey, David Hough, "Floating-point precision tuning using blame analysis", 38th International Conference on Software Engineering (ICSE 2016), January 20, 2016,

David H. Bailey, Jonathan M. Borwein, "Ancient Indian square roots", Encyclopedia of the History of Science, Technology and Medicine in Non-Western Cultures, edited by Helaine Selin, (Springer: January 1, 2016)

David H. Bailey, Jonathan M. Borwein, "Computation and structure of character polylogarithms with applications to character Mordell-Tornheim-Witten sums", Mathematics of Computation, January 1, 2016, 85:295-324,

Amartya Banerjee

2017

W. Hu, L. Lin, A. Banerjee, E. Vecharynski, C. Yang, "Adaptively compressed exchange operator for large scale hybrid density functional calculations with applications to the adsorption of water on silicene", J. Chem. Theory Comput., February 8, 2017, 13:1188–1198,

Protonu Basu

2018

Charlene Yang, Rahulkumar Gayatri, Thorsten Kurth, Protonu Basu, Zahra Ronaghi, Adedoyin Adetokunbo, Brian Friesen, Brandon Cook, Douglas Doerfler, Leonid Oliker, Jack Deslippe, Samuel Williams, "An Empirical Roofline Methodology for Quantitatively Assessing Performance Portability", International Workshop on Performance, Portability and Productivity in HPC (P3HPC), November 2018,

Tuowen Zhao, Mary Hall, Protonu Basu, Samuel Williams, Hans Johansen, "SIMD code generation for stencils on brick decompositions", Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), February 2018,

Protonu Basu, Using Empirical Roofline Toolkit and Nvidia nvprof, ECP Annual Meeting, February 8, 2018,

2017

Nathan Zhang, Michael Driscoll, Armando Fox, Charles Markley, Samuel Williams, Protonu Basu, "Snowflake: A Lightweight Portable Stencil DSL", High-level Parallel Programming Models and Supportive Environments (HIPS), May 2017,

Protonu Basu, Samuel Williams, Brian Van Straalen, Leonid Oliker, Phillip Colella, Mary Hall, "Compiler-Based Code Generation and Autotuning for Geometric Multigrid on GPU-Accelerated Supercomputers", Parallel Computing (PARCO), April 2017, doi: 10.1016/j.parco.2017.04.002

Vincent E. Beckner

2016

Cy Chan, John Bachan, Joseph Kenny, Jeremiah Wilke, Vincent Beckner, Ann Almgren, John Bell, "Topology-Aware Performance Optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale", (BEST PAPER AWARD) COMHPC 2016 - SC16 Workshop on Communication Optimization in High Performance Computing, Salt Lake City, UT, November 18, 2016,

Best Paper Award

Brian Friesen, Ann Almgren, Zarija Lukić, Gunther Weber, Dmitriy Morozov, Vincent Beckner, Marcus Day, "In situ and in-transit analysis of cosmological simulations", Computational Astrophysics and Cosmology, 2016, 3 (4):1-18,

John B. Bell

2019

Aleksandar Donev, Alejandro L. Garcia, Jean-Philippe Péraud, Andrew J. Nonaka, John B. Bell, "Fluctuating Hydrodynamics and Debye-Hückel-Onsager Theory for Electrolytes", Current Opinion in Electrochemistry, 2019, 13:1 - 10, doi: https://doi.org/10.1016/j.coelec.2018.09.004

M. Emmett, E. Motheau, W. Zhang, M. Minion, J. B. Bell, "A Fourth-Order Adaptive Mesh Refinement Algorithm for the Multicomponent, Reacting Compressible Navier-Stokes Equations", Combustion Theory and Modeling, January 9, 2019,

2018

JL Vay, A Almgren, J Bell, L Ge, DP Grote, M Hogan, O Kononenko, R Lehe, A Myers, C Ng, J Park, R Ryne, O Shapoval, M Thévenet, W Zhang, "Warp-X: A new exascale computing platform for beam-plasma simulations", Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2018, doi: 10.1016/j.nima.2018.01.035

M Zingale, AS Almgren, MG Barrios Sazo, VE Beckner, JB Bell, B Friesen, AM Jacobs, MP Katz, CM Malone, AJ Nonaka, DE Willcox, W Zhang, "Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite", Journal of Physics: Conference Series, 2018, 1031, doi: 10.1088/1742-6596/1031/1/012024

JL Vay, A Almgren, J Bell, L Ge, DP Grote, M Hogan, O Kononenko, R Lehe, A Myers, C Ng, J Park, R Ryne, O Shapoval, M Thévenet, W Zhang, "Warp-X: A new exascale computing platform for beam–plasma simulations", Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2018, 909:476--479, doi: 10.1016/j.nima.2018.01.035

DK Dalakoti, A Krisman, B Savard, A Wehrfritz, H Wang, MS Day, JB Bell, ER Hawkes, "Structure and propagation of two-dimensional, partially premixed, laminar flames in diesel engine conditions", Proceedings of the Combustion Institute, 2018, doi: 10.1016/j.proci.2018.06.169

A Nonaka, MS Day, JB Bell, "A conservative, thermodynamically consistent numerical approach for low Mach number combustion. Part I: Single-level integration", Combustion Theory and Modelling, 2018, 22:156--184, doi: 10.1080/13647830.2017.1390610

M Morzfeld, MS Day, RW Grout, GSH Pau, SA Finsterle, JB Bell, "Iterative importance sampling algorithms for parameter estimation", SIAM Journal on Scientific Computing, 2018, 40:B329--B352, doi: 10.1137/16M1088417

Changho Kim, Andy Nonaka, John B. Bell, Alejandro L. Garcia, Aleksandar Donev, "Fluctuating hydrodynamics of reactive liquid mixtures", The Journal of Chemical Physics, 2018, 149:084113, doi: 10.1063/1.5043428

E. Motheau, M. Duarte, A. Almgren, J. Bell,, "A Hybrid Adaptive Low-Mach-Number/Compressible Method: Euler Equations", J. Comp. Phys., Vol 372, Pages 1027-1047, 2018,

2017

Jean-Philippe Peraud, Andrew J. Nonaka, John B. Bell, Aleksandar Donev, Alejandro L. Garcia, "Fluctuation-enhanced electric conductivity in electrolyte solutions", Proceedings of the National Academy of Sciences, 2017, 114:10829--108, doi: 10.1073/pnas.1714464114

E Motheau, A Almgren, JB Bell, "Navier-Stokes characteristic boundary conditions using ghost cells", AIAA Journal, 2017, 55:3399--3408, doi: 10.2514/1.J055885

AJ Aspden, JB Bell, MS Day, FN Egolfopoulos, "Turbulence-flame interactions in lean premixed dodecane flames", Proceedings of the Combustion Institute, 2017, 36:2005--2016, doi: 10.1016/j.proci.2016.07.068

S Yellapantula, JB Bell, E Motheau, MS Day, RW Grout, "Impact of non-ideal corrections to equation of state, thermodynamics, and chemical kinetics on one-dimensional freely propagating flame structure", 2017 Fall Technical Meeting of the Western States Section of the Combustion Institute, WSSCI 2017, 2017,

Changho Kim, Andy Nonaka, John B. Bell, Alejandro L. Garcia, Aleksandar Donev, "Stochastic simulation of reaction-diffusion systems: A fluctuating-hydrodynamics approach", The Journal of Chemical Physics, 2017, 146:124110, doi: 10.1063/1.4978775

D. Dalakoti, E. Hawkes, M. Day, J. Bell, "Direct numerical simulation of two-stage combustion and flame stabilization in diesel engine-relevant conditions", 26th ICDERS, 2017,

RW Grout, H Kolla, ML Minion, JB Bell, "Achieving algorithmic resilience for temporal integration through spectral deferred corrections", Communications in Applied Mathematics and Computational Science, 2017, 12:25--50, doi: 10.2140/camcos.2017.12.25

2016

Cy Chan, John Bachan, Joseph Kenny, Jeremiah Wilke, Vincent Beckner, Ann Almgren, John Bell, "Topology-Aware Performance Optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale", (BEST PAPER AWARD) COMHPC 2016 - SC16 Workshop on Communication Optimization in High Performance Computing, Salt Lake City, UT, November 18, 2016,

Best Paper Award

AM Jacobs, M Zingale, A Nonaka, AS Almgren, JB Bell, "Low Mach Number Modeling of Convection in Helium Shells on Sub-Chandrasekhar White Dwarfs. II. Bulk Properties of Simple Models", Astrophysical Journal, 2016, 827, doi: 10.3847/0004-637X/827/1/84

WE Pazner, A Nonaka, JB Bell, MS Day, ML Minion, "A high-order spectral deferred correction strategy for low Mach number flow with complex chemistry", Combustion Theory and Modelling, 2016, 20:521--547, doi: 10.1080/13647830.2016.1150519

AJ Aspden, MS Day, JB Bell, "Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics", Combustion and Flame, 2016, 166:266--283, doi: 10.1016/j.combustflame.2016.01.027

Jean-Philippe Peraud, Andy Nonaka, Anuj Chaudhri, John B. Bell, Aleksandar Donev, Alejandro L. Garcia, "Low Mach number fluctuating hydrodynamics for electrolytes", Phys. Rev. Fluids, 2016, 1:074103, doi: 10.1103/PhysRevFluids.1.074103

E. Wes Bethel

2018

B Lessley, T Perciano, C Heinemann, D Camp, H Childs, EW Bethel, "DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives", The 8th IEEE Symposium on Large Data Analysis and Visualization - LDAV 2018, 2018,

C Heinemann, T Perciano, D Ushizima, EW Bethel, "Distributed memory parallel Markov random fields using graph partitioning", Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018, 2018-Jan:3332--3341, doi: 10.1109/BigData.2017.8258318

B Loring, A Myers, D Camp, EW Bethel, "Python-based in situ analysis and visualization", Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - ISAV 18, ACM Press, 2018, doi: 10.1145/3281464.3281465

2017

U Ayachit, A Bauer, EPN Duque, G Eisenhauer, N Ferrier, J Gu, KE Jansen, B Loring, Z Lukic, S Menon, D Morozov, P O Leary, R Ranjan, M Rasquin, CP Stone, V Vishwanath, GH Weber, B Whitlock, M Wolf, KJ Wu, EW Bethel, "Performance Analysis, Design Considerations, and Applications of Extreme-Scale in Situ Infrastructures", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 2017, 921--932, LBNL 1007264, doi: 10.1109/SC.2016.78

U Ayachit, B Whitlock, M Wolf, B Loring, B Geveci, D Lonie, EW Bethel, "The SENSEI generic in situ interface", Proceedings of ISAV 2016: 2nd Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, 40--44, doi: 10.1109/ISAV.2016.13

E. Wes Bethel, In Situ Processing Overview and Relevance to the HPC Community, SIAM Conference on Computational Science and Engineering, MS74: In Situ Methods and Infrastructures: Faster Insight Through Smarter Computing, 2017,

B Lessley, T Perciano, M Mathai, H Childs, EW Bethel, "Maximal clique enumeration with data-parallel primitives", 2017 IEEE 7th Symposium on Large Data Analysis and Visualization, LDAV 2017, 2017, 2017-Dec:16--25, doi: 10.1109/LDAV.2017.8231847

T Perciano, D Ushizima, H Krishnan, D Parkinson, N Larson, DM Pelt, W Bethel, F Zok, J Sethian, "Insight into 3D micro-CT data: Exploring segmentation algorithms through performance metrics", Journal of Synchrotron Radiation, 2017, 24:1065--1077, doi: 10.1107/S1600577517010955

E Bethel, zorder-lib: Library API for Z-Order Memory Layout:, 2017,

EW Bethel, Towards a data-centric research and development roadmap for large-scale science user facilities, Proceedings - 13th IEEE International Conference on eScience, eScience 2017, Pages: 462--464 2017, doi: 10.1109/eScience.2017.72

2016

Andrew C. Bauer, Kenneth E. Jansen, E. Wes Bethel, Utkarsh Ayachit, Michel Rasquin, Benjamin Matthews, Steve Jordan, "In Situ Analysis and Visualization at Scale with PHASTA and ParaView Catalyst on Mira and Theta", SC16 Scientific Visualization Showcase, 2016,

E. Wes Bethel, Martin Greenwald, Kerstin Kleese van Dam, Manish Parashar, Stefan M. Wild, H. Steven Wiley, "Management, Analysis, and Visualization of Experimental and Observational Data -- The Convergence of Data and Computing", Proceedings of the 2016 IEEE 12th International Conference on eScience, Baltimore, MD, USA, 2016,

Hoa Nguyen, D\ aith\ i Stone, E. Wes Bethel, "Statistical Projections for Multi-dimensional Visual Data Exploration", 6th IEEE Symposium on Large Data Analysis and Visualization, 2016,

moderator E. Wes Bethel (organizer, Hank Childs, Ken Moreland, Dave Pugmire, Matt Larsen, Matthieu Dorier, In Situ Efforts and Challenges in Large Data Analysis and Visualization, IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2016,

DM Ushizima, HA Bale, EW Bethel, P Ercius, BA Helms, H Krishnan, LT Grinberg, M Haranczyk, AA Macdowell, K Odziomek, DY Parkinson, T Perciano, RO Ritchie, C Yang, "IDEAL: Images Across Domains, Experiments, Algorithms and Learning", JOM, 2016, 68:2963--2972, doi: 10.1007/s11837-016-2098-4

T Perciano, DM Ushizima, EW Bethel, YD Mizrahi, D Parkinson, JA Sethian, "Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning", Proceedings - International Conference on Image Processing, ICIP, 2016, 2016-Aug:1259--1263, doi: 10.1109/ICIP.2016.7532560

O Rübel, B Loring, JL Vay, DP Grote, R Lehe, S Bulanov, H Vincenti, EW Bethel, "WarpIV: In Situ Visualization and Analysis of Ion Accelerator Simulations", IEEE Computer Graphics and Applications, 2016, 36:22--35, doi: 10.1109/MCG.2016.62

Amneet Pal Singh Bhalla

2018

Shannon K. Jones, Amneet Pal Singh Bhalla, Georgios Katsikis, Boyce E. Griffith, Daphne Klotsa, "Transition in motility mechanism due to inertia in a model self-propelled two-sphere swimmer", January 11, 2018,

2017

Nishant Nangia, Hans Johansen, Neelesh A. Patankar, Amneet Pal Singh Bhalla, "A moving control volume approach to computing hydrodynamic forces and torques on immersed bodies", Journal of Computational Physics, June 29, 2017, doi: 10.1016/j.jcp.2017.06.047

B. Sprinkle, R. Bale, A.P.S. Bhalla, M.A. MacIver, N.A. Patankar, "Hydrodynamic optimality of balistiform and gymnotiform locomotion", European Journal of Computational Mechanics, February 27, 2017, doi: 10.1080/17797179.2017.1305160

F. Balboa Usabiaga, B. Kallemov, B. Delmotte, A.P.S Bhalla, B. E. Griffith, A. Donev, "Hydrodynamics of suspensions of passive and active rigid particles: A rigid multiblob approach", Communications in Applied Mathematics and Computational Science, 2017, 11(2):217-296, doi: 10.2140/camcos.2016.11.217

2016

B. Kallemov, A.P.S. Bhalla, B.E. Griffith, A. Donev, "An immersed boundary method for rigid bodies", Communications in Applied Mathematics and Computational Science, 2016, 11(1):79-141, doi: 10.2140/camcos.2016.11.79

 

Dan Bonachea

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2019.3.0", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001191, doi: 10.25344/S4F301

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 10", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001192, doi: 10.25344/S4JS30

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

Scott B. Baden, Paul H. Hargrove, Dan Bonachea, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - GASNet-EX", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

2018

Paul H. Hargrove, Dan Bonachea, "GASNet-EX Performance Improvements Due to Specialization for the Cray Aries Network", Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), Dallas, Texas, USA, IEEE, November 16, 2018, 23-33, doi: 10.1109/PAW-ATM.2018.00008

GASNet-EX is a portable, open-source, high-performance communication library designed to efficiently support the networking requirements of PGAS runtime systems and other alternative models on future exascale machines. This paper reports on the improvements in performance observed on Cray XC-series systems due to enhancements made to the GASNet-EX software. These enhancements, known as "specializations", primarily consist of replacing network-independent implementations of several recently added features with implementations tailored to the Cray Aries network. Performance gains from specialization include (1) Negotiated-Payload Active Messages improve bandwidth of a ping-pong test by up to 14%, (2) Immediate Operations reduce running time of a synthetic benchmark by up to 93%, (3) non-bulk RMA Put bandwidth is increased by up to 32%, (4) Remote Atomic performance is 70% faster than the reference on a point-to-point test and allows a hot-spot test to scale robustly, and (5) non-contiguous RMA interfaces see up to 8.6x speedups for an intra-node benchmark and 26% for inter-node. These improvements are all available in GASNet-EX version 2018.3.0 and later.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

Dan Bonachea, Paul H. Hargrove, "GASNet-EX: A High-Performance, Portable Communication Library for Exascale", Languages and Compilers for Parallel Computing (LCPC'18), Salt Lake City, Utah, USA, October 11, 2018, LBNL 2001174, doi: 10.25344/S4QP4W

Partitioned Global Address Space (PGAS) models, typified by such languages as Unified Parallel C (UPC) and Co-Array Fortran, expose one-sided communication as a key building block for High Performance Computing (HPC) applications. Architectural trends in supercomputing make such programming models increasingly attractive, and newer, more sophisticated models such as UPC++, Legion and Chapel that rely upon similar communication paradigms are gaining popularity.

GASNet-EX is a portable, open-source, high-performance communication library designed to efficiently support the networking requirements of PGAS runtime systems and other alternative models in future exascale machines. The library is an evolution of the popular GASNet communication system, building upon over 15 years of lessons learned. We describe and evaluate several features and enhancements that have been introduced to address the needs of modern client systems. Microbenchmark results demonstrate the RMA performance of GASNet-EX is competitive with several MPI-3 implementations on current HPC systems.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2018.9.0", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001180, doi: 10.25344/S49G6V

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 8", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001179, doi: 10.25344/S45P4X

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

Dan Bonachea, Paul Hargrove, "GASNet-EX Performance Improvements Due to Specialization for the Cray Aries Network", Lawrence Berkeley National Laboratory Tech Report, March 27, 2018, LBNL 2001134, doi: 10.2172/1430690

This document is a deliverable for milestone STPM17-6 of the Exascale Computing Project, delivered by WBS 2.3.1.14. It reports on the improvements in performance observed on Cray XC-series systems due to enhancements made to the GASNet-EX software. These enhancements, known as “specializations”, primarily consist of replacing network-independent implementations of several recently added features with implementations tailored to the Cray Aries network. Performance gains from specialization include (1) Negotiated-Payload Active Messages improve bandwidth of a ping-pong test by up to 14%, (2) Immediate Operations reduce running time of a synthetic benchmark by up to 93%, (3) non-bulk RMA Put bandwidth is increased by up to 32%, (4) Remote Atomic performance is 70% faster than the reference on a point-to-point test and allows a hot-spot test to scale robustly, and (5) non-contiguous RMA interfaces see up to 8.6x speedups for an intra-node benchmark and 26% for inter-node. These improvements are available in the GASNet-EX 2018.3.0 release.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott Baden, Dan Bonachea, Paul Hargrove, "GASNet-EX: PGAS Support for Exascale Apps and Runtimes", ECP Annual Meeting 2018, February 2018,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

2017

Erik Paulson, Dan Bonachea, Paul Hargrove, GASNet ofi-conduit, Presentation at the Open Fabrics Interface BoF at Supercomputing 2017, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Dan Bonachea, Paul Hargrove, "GASNet Specification, v1.8.1", Lawrence Berkeley National Laboratory Tech Report, August 31, 2017, LBNL 2001064, doi: 10.2172/1398512

GASNet is a language-independent, low-level networking layer that provides network-independent, high-performance communication primitives tailored for implementing parallel global address space SPMD languages and libraries such as UPC, UPC++, Co-Array Fortran, Legion, Chapel, and many others. The interface is primarily intended as a compilation target and for use by runtime library writers (as opposed to end users), and the primary goals are high performance, interface portability, and expressiveness. GASNet stands for "Global-Address Space Networking".

John Bachan, Dan Bonachea, Paul H Hargrove, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, Scott B Baden, "The UPC++ PGAS library for Exascale Computing", Proceedings of the Second Annual PGAS Applications Workshop, January 1, 2017, 7,

We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, and futures. Global pointers incorporate ownership information useful in optimizing for locality. Futures capture data readiness state, are useful for scheduling and also enable the programmer to chain operations to execute asynchronously as high-latency dependencies become satisfied, via continuations. The interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and closely resemble those used in modern C++. Communication in UPC++ runs at close to hardware speeds by utilizing the low-overhead GASNet-EX communication library.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2017., January 2017,

Julian Borrill

2018

KN Abazajian, P Adshead, Z Ahmed, SW Allen, D Alonso, KS Arnold, C Baccigalupi, JG Bartlett, N Battaglia, BA Benson, CA Bischoff, J Borrill, V Buza, E Calabrese, R Caldwell, JE Carlstrom, CL Chang, TM Crawford, F-Y Cyr-Racine, FD Bernardis, TD Haan, SDS Alighieri, J Dunkley, C Dvorkin, J Errard, G Fabbian, S Feeney, S Ferraro, JP Filippini, R Flauger, GM Fuller, V Gluscevic, D Green, D Grin, E Grohs, JW Henning, JC Hill, R Hlozek, G Holder, W Holzapfel, W Hu, KM Huffenberger, R Keskitalo, L Knox, A Kosowsky, J Kovac, ED Kovetz, C-L Kuo, A Kusaka, ML Jeune, AT Lee, M Lilley, M Loverde, MS Madhavacheril, A Mantz, DJE Marsh, J McMahon, PD Meerburg, J Meyers, AD Miller, JB Munoz, HN Nguyen, MD Niemack, M Peloso, J Peloton, L Pogosian, C Pryke, M Raveri, CL Reichardt, G Rocha, A Rotti, E Schaan, MM Schmittfull, D Scott, N Sehgal, S Shandera, BD Sherwin, TL Smith, L Sorbo, GD Starkman, KT Story, AV Engelen, JD Vieira, S Watson, N Whitehorn, WLK Wu, CMB-S4 Science Book, First Edition, 2018,

S Takakura, MAO Aguilar-Faúndez, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, F Bianchini, D Boettger, J Borrill, K Cheung, Y Chinone, T Elleflot, J Errard, G Fabbian, C Feng, N Goeckner-Wald, T Hamada, M Hasegawa, M Hazumi, L Howe, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, AT Lee, LN Lowry, FT Matsuda, AJ May, Y Minami, M Navaroli, H Nishino, L Piccirillo, D Poletti, G Puglisi, CL Reichardt, Y Segawa, M Silva-Feaver, P Siritanasak, A Suzuki, O Tajima, S Takatori, D Tanabe, GP Teply, C Tsai, "Measurements of tropospheric ice clouds with a ground-based CMB polarization experiment, POLARBEAR", Astrophysical Journal, 2018,

TSO Collaboration, P Ade, J Aguirre, Z Ahmed, S Aiola, A Ali, D Alonso, MA Alvarez, K Arnold, P Ashton, J Austermann, H Awan, C Baccigalupi, T Baildon, D Barron, N Battaglia, R Battye, E Baxter, A Bazarko, JA Beall, R Bean, D Beck, S Beckman, B Beringue, F Bianchini, S Boada, D Boettger, JR Bond, J Borrill, ML Brown, SM Bruno, S Bryan, E Calabrese, V Calafut, P Calisse, J Carron, A Challinor, G Chesmore, Y Chinone, J Chluba, H-MS Cho, S Choi, G Coppi, NF Cothard, K Coughlin, D Crichton, KD Crowley, KT Crowley, A Cukierman, MD Ewart, R Dünner, TD Haan, M Devlin, S Dicker, J Didier, M Dobbs, B Dober, C Duell, S Duff, A Duivenvoorden, J Dunkley, J Dusatko, J Errard, G Fabbian, S Feeney, S Ferraro, P Fluxà, K Freese, J Frisch, A Frolov, G Fuller, B Fuzia, N Galitzki, PA Gallardo, JTG Ghersi, J Gao, E Gawiser, M Gerbino, V Gluscevic, N Goeckner-Wald, J Golec, S Gordon, M Gralla, D Green, A Grigorian, J Groh, C Groppi, Y Guan, JE Gudmundsson, D Han, P Hargrave, M Hasegawa, M Hasselfield, M Hattori, V Haynes, M Hazumi, Y He, E Healy, S Henderson, C Hervias-Caimapo, CA Hill, JC Hill, G Hilton, M Hilton, AD Hincks, G Hinshaw, R Hložek, S Ho, S-PP Ho, L Howe, Z Huang, J Hubmayr, K Huffenberger, JP Hughes, A Ijjas, M Ikape, K Irwin, AH Jaffe, B Jain, O Jeong, D Kaneko, E Karpel, N Katayama, B Keating, S Kernasovski, R Keskitalo, T Kisner, K Kiuchi, J Klein, K Knowles, B Koopman, A Kosowsky, N Krachmalnicoff, S Kuenstner, C-L Kuo, A Kusaka, J Lashner, A Lee, E Lee, D Leon, JS-Y Leung, A Lewis, Y Li, Z Li, M Limon, E Linder, C Lopez-Caraballo, T Louis, L Lowry, M Lungu, M Madhavacheril, D Mak, F Maldonado, H Mani, B Mates, F Matsuda, L Maurin, P Mauskopf, A May, N McCallum, C McKenney, J McMahon, PD Meerburg, J Meyers, A Miller, M Mirmelstein, K Moodley, M Munchmeyer, C Munson, S Naess, F Nati, M Navaroli, L Newburgh, HN Nguyen, M Niemack, H Nishino, J Orlowski-Scherer, L Page, B Partridge, J Peloton, F Perrotta, L Piccirillo, G Pisano, D Poletti, R Puddu, G Puglisi, C Raum, CL Reichardt, M Remazeilles, Y Rephaeli, D Riechers, F Rojas, A Roy, S Sadeh, Y Sakurai, M Salatino, MS Rao, E Schaan, M Schmittfull, N Sehgal, J Seibert, U Seljak, B Sherwin, M Shimon, C Sierra, J Sievers, P Sikhosana, M Silva-Feaver, SM Simon, A Sinclair, P Siritanasak, K Smith, S Smith, D Spergel, S Staggs, G Stein, JR Stevens, R Stompor, R Sudiwala, A Suzuki, O Tajima, S Takakura, G Teply, DB Thomas, B Thorne, R Thornton, H Trac, C Tsai, C Tucker, J Ullom, S Vagnozzi, AV Engelen, JV Lanen, DV Winkle, EM Vavagiakis, C Vergès, M Vissers, K Wagoner, J Ward, B Westbrook, N Whitehorn, J Williams, J Williams, EJ Wollack, Z Xu, J Ye, B Yu, C Yu, F Zago, H Zhang, N Zhu, The Simons Observatory: Science goals and forecasts, 2018,

P Collaboration, N Aghanim, Y Akrami, MIR Alves, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, R-R Chary, HC Chiang, LPL Colombo, C Combet, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, R Fernandez-Cobos, K Ferrière, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, G Green, A Gruppuso, JE Gudmundsson, V Guillet, W Handley, FK Hansen, G Helou, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, P Natoli, L Pagano, D Paoletti, G Patanchon, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, I Ristorcelli, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, A Zacchei, A Zonca, Planck 2018 results. XII. Galactic astrophysics using polarized dust emission, 2018,

P Collaboration, Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, C Gauthier, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, D Herranz, E Hivon, DC Hooper, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, V Lindholm, M Lpez-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PD Meerburg, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, S Mitra, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, M Münchmeyer, P Natoli, HU Nørgaard-Nielsen, L Pagano, D Paoletti, B Partridge, G Patanchon, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, M Shiraishi, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, SDM White, A Zacchei, JP Zibin, A Zonca, Planck 2018 results. X. Constraints on inflation, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, R Fernandez-Cobos, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, F Levrier, A Lewis, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, P Natoli, L Pagano, D Paoletti, B Partridge, G Patanchon, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. VIII. Gravitational lensing, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, J Chluba, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, M Farhang, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, P Lemos, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, M Lilley, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, M Martinelli, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, M Millea, S Mitra, M-A Miville-Deschênes, D Molinari, L Montier, G Morgante, A Moss, P Natoli, HU Nørgaard-Nielsen, L Pagano, D Paoletti, B Partridge, G Patanchon, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, L Valenziano, J Valiviita, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. VI. Cosmological parameters, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, F Couchot, BP Crill, F Cuttaia, PD Bernardis, AD Rosa, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, S Henrot-Versillé, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, S Mottet, P Natoli, L Pagano, D Paoletti, B Partridge, G Patanchon, L Patrizii, O Perdereau, F Perrotta, V Pettorino, F Piacentini, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, G Roudier, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, M Tristram, T Trombetti, J Valiviita, F Vansyngel, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, A Zonca, Planck 2018 results. III. High Frequency Instrument data processing and frequency maps, 2018,

P Collaboration, Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, B Casaponsa, A Challinor, HC Chiang, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, F-X Désert, ED Valentino, C Dickinson, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, G Helou, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, M Langer, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, JP Leahy, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, M Lilley, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PD Meerburg, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, M Millea, S Mitra, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, S Mottet, M Münchmeyer, P Natoli, HU Nørgaard-Nielsen, CA Oxborrow, L Pagano, D Paoletti, B Partridge, G Patanchon, TJ Pearson, M Peel, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, M Shiraishi, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Terenzi, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. I. Overview and the cosmological legacy of Planck, 2018,

P Collaboration, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, HC Chiang, C Combet, BP Crill, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, C Dickinson, JM Diego, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, E Falgarone, Y Fantaye, K Ferrière, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, T Ghosh, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, V Guillet, W Handley, FK Hansen, D Herranz, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, N Krachmalnicoff, M Kunz, H Kurki-Suonio, J-M Lamarre, A Lasenby, ML Jeune, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, PG Martin, E Martínez-González, S Matarrese, JD McEwen, PR Meinhold, A Melchiorri, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, P Natoli, L Pagano, D Paoletti, V Pettorino, F Piacentini, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, JD Soler, LD Spencer, JA Tauber, D Tavagnacco, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, F Vansyngel, FV Tent, P Vielva, F Villa, N Vittorio, IK Wehus, A Zacchei, A Zonca, Planck 2018 results. XI. Polarized dust foregrounds, 2018,

T Hasebe, S Kashima, PAR Ade, Y Akiba, D Alonso, K Arnold, J Aumont, C Baccigalupi, D Barron, S Basak, S Beckman, J Borrill, F Boulanger, M Bucher, E Calabrese, Y Chinone, HM Cho, A Cukierman, DW Curtis, T de Haan, M Dobbs, A Dominjon, T Dotani, L Duband, A Ducout, J Dunkley, JM Duval, T Elleflot, HK Eriksen, J Errard, J Fischer, T Fujino, T Funaki, U Fuskeland, K Ganga, N Goeckner-Wald, J Grain, NW Halverson, T Hamada, M Hasegawa, K Hattori, M Hattori, L Hayes, M Hazumi, N Hidehira, CA Hill, G Hilton, J Hubmayr, K Ichiki, T Iida, H Imada, M Inoue, Y Inoue, KD Irwin, H Ishino, O Jeong, H Kanai, D Kaneko, N Katayama, T Kawasaki, SA Kernasovskiy, R Keskitalo, A Kibayashi, Y Kida, K Kimura, T Kisner, K Kohri, E Komatsu, K Komatsu, CL Kuo, NA Kurinsky, A Kusaka, A Lazarian, AT Lee, D Li, E Linder, B Maffei, "Concept Study of Optical Configurations for High-Frequency Telescope for LiteBIRD", Journal of Low Temperature Physics, 2018, 193:841--850, doi: 10.1007/s10909-018-1915-2

B Westbrook, PAR Ade, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, S Beckman, AN Bender, F Bianchini, D Boettger, J Borrill, S Chapman, Y Chinone, G Coppi, K Crowley, A Cukierman, T de Haan, R Dünner, M Dobbs, T Elleflot, J Errard, G Fabbian, SM Feeney, C Feng, G Fuller, N Galitzki, A Gilbert, N Goeckner-Wald, J Groh, NW Halverson, T Hamada, M Hasegawa, M Hazumi, CA Hill, W Holzapfel, L Howe, Y Inoue, G Jaehnig, A Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, M Le Jeune, AT Lee, D Leon, E Linder, L Lowry, A Madurowicz, D Mak, F Matsuda, A May, NJ Miller, Y Minami, J Montgomery, M Navaroli, H Nishino, J Peloton, A Pham, L Piccirillo, D Plambeck, D Poletti, G Puglisi, C Raum, G Rebeiz, CL Reichardt, PL Richards, H Roberts, C Ross, KM Rotermund, Y Segawa, "The POLARBEAR-2 and Simons Array Focal Plane Fabrication Status", Journal of Low Temperature Physics, 2018, 193:758--770, doi: 10.1007/s10909-018-2059-0

A Suzuki, PAR Ade, Y Akiba, D Alonso, K Arnold, J Aumont, C Baccigalupi, D Barron, S Basak, S Beckman, J Borrill, F Boulanger, M Bucher, E Calabrese, Y Chinone, S Cho, B Crill, A Cukierman, DW Curtis, T de Haan, M Dobbs, A Dominjon, T Dotani, L Duband, A Ducout, J Dunkley, JM Duval, T Elleflot, HK Eriksen, J Errard, J Fischer, T Fujino, T Funaki, U Fuskeland, K Ganga, N Goeckner-Wald, J Grain, NW Halverson, T Hamada, T Hasebe, M Hasegawa, K Hattori, M Hattori, L Hayes, M Hazumi, N Hidehira, CA Hill, G Hilton, J Hubmayr, K Ichiki, T Iida, H Imada, M Inoue, Y Inoue, KD Irwin, H Ishino, O Jeong, H Kanai, D Kaneko, S Kashima, N Katayama, T Kawasaki, SA Kernasovskiy, R Keskitalo, A Kibayashi, Y Kida, K Kimura, T Kisner, K Kohri, E Komatsu, K Komatsu, CL Kuo, NA Kurinsky, A Kusaka, A Lazarian, AT Lee, D Li, E Linder, "The LiteBIRD Satellite Mission: Sub-Kelvin Instrument", Journal of Low Temperature Physics, 2018, 193:1048--1056, doi: 10.1007/s10909-018-1947-7

Y Akrami, F Arguëso, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, J Carron, HC Chiang, C Combet, BP Crill, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, "Planck intermediate results: LIV. the Planck multi-frequency catalogue of non-thermal sources", Astronomy and Astrophysics, 2018, 619, doi: 10.1051/0004-6361/201832888

N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, J Carron, HC Chiang, B Comis, D Contreras, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, M Gerbino, KM Górski, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, "Planck intermediate results: LIII. Detection of velocity dispersion from the kinetic Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2018, 617, doi: 10.1051/0004-6361/201731489

D Barron, Y Chinone, A Kusaka, J Borril, J Errard, S Feeney, S Ferraro, R Keskitalo, AT Lee, NA Roe, BD Sherwin, A Suzuki, "Optimization study for the experimental configuration of CMB-S4", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/02/009

JF Macìas-Pérez, J Delabrouille, P De Bernardis, FR Bouchet, A Achúcarro, PAR Ade, R Allison, F Arroja, E Artal, M Ashdown, C Baccigalupi, M Ballardini, AJ Banday, R Banerji, D Barbosa, J Bartlett, N Bartolo, S Basak, JJA Baselmans, K Basu, ES Battistelli, R Battye, D Baumann, A Benoít, M Bersanelli, A Bideaud, M Biesiada, M Bilicki, A Bonaldi, M Bonato, J Borrill, F Boulanger, T Brinckmann, ML Brown, M Bucher, C Burigana, A Buzzelli, G Cabass, ZY Cai, M Calvo, A Caputo, CS Carvalho, FJ Casas, G Castellano, A Catalano, A Challinor, I Charles, J Chluba, DL Clements, S Clesse, S Colafrancesco, I Colantoni, D Contreras, A Coppolecchia, M Crook, G D Alessandro, G D Amico, AD Silva, M De Avillez, G De Gasperis, MD Petris, G De Zotti, L Danese, FX Désert, V Desjacques, ED Valentino, C Dickinson, JM Diego, S Doyle, R Durrer, "Exploring cosmic origins with CORE: Survey requirements and mission design", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/04/014

P Natoli, M Ashdown, R Banerji, J Borrill, A Buzzelli, G De Gasperis, J Delabrouille, E Hivon, D Molinari, G Patanchon, L Polastri, M Tomasi, FR Bouchet, S Henrot-Versillé, DT Hoang, R Keskitalo, K Kiiveri, T Kisner, V Lindholm, D McCarthy, F Piacentini, O Perdereau, G Polenta, M Tristram, A Achucarro, P Ade, R Allison, C Baccigalupi, M Ballardini, AJ Banday, J Bartlett, N Bartolo, S Basak, D Baumann, M Bersanelli, A Bonaldi, M Bonato, F Boulanger, T Brinckmann, M Bucher, C Burigana, ZY Cai, M Calvo, CS Carvalho, MG Castellano, A Challinor, J Chluba, S Clesse, I Colantoni, A Coppolecchia, M Crook, G D Alessandro, P De Bernardis, GD Zotti, ED Valentino, JM Diego, J Errard, S Feeney, R Fernandez-Cobos, F Finelli, F Forastieri, S Galli, R Genova-Santos, "Exploring cosmic origins with CORE: Mitigation of systematic effects", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/04/022

JR Stevens, N Goeckner-Wald, R Keskitalo, N McCallum, A Ali, J Borrill, ML Brown, Y Chinone, PA Gallardo, A Kusaka, AT Lee, J McMahon, MD Niemack, L Page, G Puglisi, M Salatino, SYD Mak, G Teply, DB Thomas, EM Vavagiakis, EJ Wollack, Z Xu, N Zhu, "Designs for next generation CMB survey strategies from Chile", Proceedings of SPIE - The International Society for Optical Engineering, 2018, 10708, doi: 10.1117/12.2313898

2017

PAR Ade, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, F Bianchini, D Boettger, J Borrill, S Chapman, Y Chinone, K Crowley, A Cukierman, R Dünner, M Dobbs, A Ducout, T Elleflot, J Errard, G Fabbian, SM Feeney, C Feng, T Fujino, N Galitzki, A Gilbert, N Goeckner-Wald, JC Groh, G Hall, N Halverson, T Hamada, M Hasegawa, M Hazumi, CA Hill, L Howe, Y Inoue, G Jaehnig, AH Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, ML Jeune, AT Lee, EM Leitch, D Leon, E Linder, L Lowry, F Matsuda, T Matsumura, Y Minami, J Montgomery, M Navaroli, H Nishino, H Paar, J Peloton, ATP Pham, D Poletti, G Puglisi, CL Reichardt, PL Richards, C Ross, Y Segawa, BD Sherwin, M Silva-Feaver, P Siritanasak, N Stebor, R Stompor, A Suzuki, O Tajima, S Takakura, "A Measurement of the Cosmic Microwave Background B-mode Polarization Power Spectrum at Subdegree Scales from Two Years of polarbear Data", Astrophysical Journal, 2017, 848, doi: 10.3847/1538-4357/aa8e9f

Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, FK Hansen, G Helou, S Henrot-Versillé, "Planck intermediate results: LII. Planet flux densities", Astronomy and Astrophysics, 2017, 607, doi: 10.1051/0004-6361/201630311

N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, A Challinor, HC Chiang, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, D Herranz, E Hivon, "Planck intermediate results: LI. Features in the cosmic microwave background temperature power spectrum and shifts in cosmological parameters", Astronomy and Astrophysics, 2017, 607, doi: 10.1051/0004-6361/201629504

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, HC Chiang, LPL Colombo, C Combet, B Comis, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, M Giard, J González-Nuevo, KM Górski, "Planck intermediate results: L. Evidence of spatial variation of the polarized thermal dust spectral energy distribution and implications for CMB B-mode analysis", Astronomy and Astrophysics, 2017, 599, doi: 10.1051/0004-6361/201629164

S Takakura, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, S Beckman, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, A Ducout, T Elleflot, J Errard, G Fabbian, T Fujino, N Galitzki, N Goeckner-Wald, NW Halverson, M Hasegawa, K Hattori, M Hazumi, C Hill, L Howe, Y Inoue, AH Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, AT Lee, D Leon, L Lowry, F Matsuda, T Matsumura, M Navaroli, H Nishino, H Paar, J Peloton, D Poletti, G Puglisi, CL Reichardt, C Ross, P Siritanasak, A Suzuki, O Tajima, S Takatori, G Teply, "Performance of a continuously rotating half-wave plate on the POLARBEAR telescope", Journal of Cosmology and Astroparticle Physics, 2017, 2017, doi: 10.1088/1475-7516/2017/05/008

D Poletti, G Fabbian, M Le Jeune, J Peloton, K Arnold, C Baccigalupi, D Barron, S Beckman, J Borrill, S Chapman, Y Chinone, A Cukierman, A Ducout, T Elleflot, J Errard, S Feeney, N Goeckner-Wald, J Groh, G Hall, M Hasegawa, M Hazumi, C Hill, L Howe, Y Inoue, AH Jaffe, O Jeong, N Katayama, B Keating, R Keskitalo, T Kisner, A Kusaka, AT Lee, D Leon, E Linder, L Lowry, F Matsuda, M Navaroli, H Paar, G Puglisi, CL Reichardt, C Ross, P Siritanasak, N Stebor, B Steinbach, R Stompor, A Suzuki, O Tajima, G Teply, N Whitehorn, "Making maps of cosmic microwave background polarization for B-mode studies: The POLARBEAR example", Astronomy and Astrophysics, 2017, 600, doi: 10.1051/0004-6361/201629467

2016

PAR Ade, N Aghanim, Y Akrami, PK Aluri, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoit, A Benoit-Levy, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P de Bernardis, A de Rosa, G de Zotti, J Delabrouille, F-X Desert, JM Diego, H Dole, S Donzelli, O Dore, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Ensslin, HK Eriksen, Y Fantaye, J Ferguson, R Fernandez-Cobos, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, A Frolov, S Galeotta, S Galli, K Ganga, C Gauthier, T Ghosh, M Giard, Y Giraud-Heraud, E Gjerlow, J Gonzalez-Nuevo, KM Gorski, S Gratton, A Gregorio, A Gruppuso, JE Gudmundsson, FK Hansen, D Hanson, DL Harrison, S Henrot-Versille, C Hernandez-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, WA Holmes, A Hornstrup, W Hovest, Z Huang, KM Huffenberger, G Hurier, AH Jaffe, TR Jaffe, WC Jones, M Juvela, E Keihanen, R Keskitalo, J Kim, TS Kisner, J Knoche, M Kunz, H Kurki-Suonio, G Lagache, A Lahteenmaki, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, R Leonardi, J Lesgourgues, F Levrier, M Liguori, PB Lilje, M Linden-Vornle, H Liu, M Lopez-Caniego, PM Lubin, JF Macias-Perez, G Maggio, D Maino, N Mandolesi, A Mangilli, D Marinucci, M Maris, PG Martin, E Martinez-Gonzalez, S Masi, S Matarrese, P McGehee, PR Meinhold, A Melchiorri, L Mendes, A Mennella, M Migliaccio, K Mikkelsen, S Mitra, M-A Miville-Deschenes, D Molinari, A Moneti, L Montier, G Morgante, D Mortlock, A Moss, D Munshi, JA Murphy, P Naselsky, F Nati, P Natoli, CB Netterfield, HU Norgaard-Nielsen, F Noviello, D Novikov, I Novikov, CA Oxborrow, F Paci, L Pagano, F Pajot, N Pant, D Paoletti, F Pasian, G Patanchon, TJ Pearson, O Perdereau, L Perotto, F Perrotta, V Pettorino, F Piacentini, M Piat, E Pierpaoli, D Pietrobon, S Plaszczynski, E Pointecouteau, G Polenta, L Popa, GW Pratt, G Prezeau, S Prunet, J-L Puget, JP Rachen, R Rebolo, M Reinecke, M Remazeilles, C Renault, A Renzi, I Ristorcelli, G Rocha, C Rosset, M Rossetti, A Rotti, G Roudier, JA Rubino-Martin, B Rusholme, M Sandri, D Santos, M Savelainen, G Savini, D Scott, MD Seiffert, EPS Shellard, T Souradeep, LD Spencer, V Stolyarov, R Stompor, R Sudiwala, R Sunyaev, D Sutton, A-S Suur-Uski, J-F Sygnet, JA Tauber, L Terenzi, L Toffolatti, M Tomasi, M Tristram, T Trombetti, M Tucci, J Tuovinen, L Valenziano, J Valiviita, B Van Tent, P Vielva, F Villa, LA Wade, BD Wandelt, IK Wehus, D Yvon, A Zacchei, JP Zibin, A Zonca, P Collaboration, "Planck 2015 results XVI. Isotropy and statistics of the CMB", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526681

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, HC Chiang, PR Christensen, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, "Planck intermediate results: XXXVIII. E- and B-modes of dust polarization from the magnetized filamentary structure of the interstellar medium", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526506

PAR Ade, N Aghanim, M Arnaud, M Ashdown, E Aubourg, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Giard, E Gjerløw, "Planck intermediate results: XXXVII. Evidence of unbound gas from the kinetic Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526328

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, R Barrena, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, I Bikmaev, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, R Burenin, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, HC Chiang, G Chon, PR Christensen, DL Clements, LPL Colombo, C Combet, B Comis, BP Crill, A Curto, F Cuttaia, H Dahle, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, A Ferragamo, F Finelli, O Forni, M Frailis, AA Fraisse, "Planck intermediate results: XXXVI. Optical identification and redshifts of Planck SZ sources with telescopes at the Canary Islands observatories", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526345

PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, D Falceta-Gonçalves, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, "Planck intermediate results: XXXV. Probing the role of the magnetic field in the formation of structure in molecular clouds", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201525896

N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, "Planck intermediate results: XXXIV. The magnetic field structure in the Rosette Nebula", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201525616

PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, O Berné, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, "Planck intermediate results: XXXIII. Signature of the magnetic field geometry of interstellar filaments in dust polarization maps", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425305

M Arnaud, M Ashdown, F Atrio-Barandela, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, J Bobin, JR Bond, J Borrill, FR Bouchet, CL Brogan, C Burigana, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, S Donzelli, O Doré, X Dupac, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, M Giard, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, FK Hansen, DL Harrison, C Hernández-Monteagudo, D Herranz, SR Hildebrandt, "Planck intermediate results: XXXI. Microwave survey of Galactic supernova remnants", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425022

R Adam, PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, "Planck intermediate results: XXX. The angular power spectrum of polarized dust emission at intermediate and high Galactic latitudes", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425034

PAR Ade, N Aghanim, MIR Alves, G Aniano, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, BT Draine, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, "Planck intermediate results: XXIX. All-sky dust modelling with Planck, IRAS, and WISE observations", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201424945

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Levy, J-P Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, RC Butler, E Calabrese, J-F Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P de Bernardis, A de Rosa, G de Zotti, J Delabrouillel, C Dickinson, JM Diego, H Dole, S Donzelli, O Dore, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Ensslin, HK Eriksen, E Falgarone, K Ferriere, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejse, S Galeotta, S Gai, K Ganga, T Ghosh, M Giard, E Gjerlow, J Gonzalez-Nuevo, KM Gorski, A Gregorio, A Gruppuso, V Guillet, K Hansen, D Hanson, DL Harrison, S Henrot-Versille, C Hernandez-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, WA Holmes, W Hovest, KM Huffenberger, G Hurier, AH Jaffe, TR Jaffe, WC Jones, M Juvela, E Keihanen, R Keskitalo, TS Kisner, R Kneiss, J Knoche, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, R Leonardi, F Levrier, M Liguori, PB Lilje, M Linden-Vornle, M Lopez-Caniego, PM Lubin, JF Macias-Perez, B Maffei, D Maino, N Mandolesi, M Maris, DJ Marshal, PG Martin, E Martinez-Gonzalez, S Masi, S Matarrese, P Mazzotta, A Melchiorri, L Mendes, A Mennella, M Migliaccio, M-A Miville-Descheness, A Moneti, L Montier, G Morgante, D Mortlock, D Munshi, JA Murphy, P Naselsky, P Natoli, HU Norgaard-Nielsen, F Noviello, D Novikov, I Novikov, N Oppermann, CA Oxborrow, L Pagano, F Pajot, D Paoletti, F Pasian, O Perdereau, L Perotto, F Perrotta, V Pettorino, F Piacentini, M Piat, S Plaszczynski, E Pointecouteau, G Polenta, N Ponthieu, L Popa, GW Pratt, S Prunet, J-L Puget, JP Rachen, WT Reach, M Reinecke, M Remazeilles, C Renault, I Ristorcelli, G Rocha, G Roudier, JA Rubino-Martin, B Rusholme, M Sandri, D Santos, G Savini, D Scott, JD Soler, LD Spencer, V Stolyarov, R Sudiwala, R Sunyaev, D Sutton, A-S Suur-Uski, J-F Sygnet, JA Tauber, L Terenzi, L Toffolatti, M Tomasi, M Tristram, M Tucci, G Umana, L Valenziano, J Valiviita, B Van Tent, P Vielva, F Villa, LA Wade, BD Wandelt, IK Wehus, H Wiesemeyer, D Yvon, A Zacchei, A Zonca, P Collaboration, "Planck intermediate results XXXII. The relative orientation between the magnetic field and structures traced by interstellar dust", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425044

A Suzuki, P Ade, Y Akiba, C Aleman, K Arnold, C Baccigalupi, B Barch, D Barron, A Bender, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, M Dobbs, A Ducout, R Dunner, T Elleflot, J Errard, G Fabbian, S Feeney, C Feng, T Fujino, G Fuller, A Gilbert, N Goeckner-Wald, J Groh, TD Haan, G Hall, N Halverson, T Hamada, M Hasegawa, K Hattori, M Hazumi, C Hill, W Holzapfel, Y Hori, L Howe, Y Inoue, F Irie, G Jaehnig, A Jaffe, O Jeong, N Katayama, J Kaufman, K Kazemzadeh, B Keating, Z Kermish, R Keskitalo, T Kisner, A Kusaka, ML Jeune, A Lee, D Leon, E Linder, L Lowry, F Matsuda, T Matsumura, N Miller, K Mizukami, J Montgomery, M Navaroli, H Nishino, J Peloton, D Poletti, G Puglisi, G Rebeiz, C Raum, C Reichardt, P Richards, C Ross, K Rotermund, Y Segawa, B Sherwin, I Shirley, P Siritanasak, N Stebor, R Stompor, J Suzuki, O Tajima, S Takada, S Takakura, S Takatori, A Tikhomirov, T Tomaru, B Westbrook, N Whitehorn, T Yamashita, A Zahn, O Zahn, "The Polarbear-2 and the Simons Array Experiments", Journal of Low Temperature Physics, 2016, 184:805--810, doi: 10.1007/s10909-015-1425-4

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, "Planck intermediate results. XXXII. The relative orientation between the magnetic field and structures traced by interstellar dust", Astronomy and Astrophysics, 2016, 586:1--25,

Y Inoue, P Ade, Y Akiba, C Aleman, K Arnold, C Baccigalupi, B Barch, D Barron, A Bender, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, T De Haan, MA Dobbs, A Ducout, R Dunner, T Elleflot, J Errard, G Fabbian, S Feeney, C Feng, G Fuller, AJ Gilbert, N Goeckner-Wald, J Groh, G Hall, N Halverson, T Hamada, M Hasegawa, K Hattori, M Hazumi, C Hill, WL Holzapfel, Y Hori, L Howe, F Irie, G Jaehnig, A Jaffe, O Jeong, N Katayama, JP Kaufman, K Kazemzadeh, BG Keating, Z Kermish, R Keskitalo, TS Kisner, A Kusaka, M Le Jeune, AT Lee, D Leon, EV Linder, L Lowry, F Matsuda, T Matsumura, N Miller, K Mizukami, J Montgomery, M Navaroli, H Nishino, H Paar, J Peloton, D Poletti, G Puglisi, CR Raum, GM Rebeiz, CL Reichardt, PL Richards, C Ross, KM Rotermund, Y Segawa, "POLARBEAR-2: An instrument for CMB polarization measurements", Proceedings of SPIE - The International Society for Optical Engineering, 2016, 9914, doi: 10.1117/12.2231961

PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, A Catalano, HC Chiang, PR Christensen, DL Clements, LPL Colombo, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, F Finelli, I Flores-Cacho, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, "Planck intermediate results: XXXIX. the Planck list of high-redshift source candidates", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527206

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, "Planck intermediate results: XLVIII. Disentangling Galactic dust emission and cosmic infrared background anisotropies", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201629022

R Adam, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, "Planck intermediate results: XLVII. Planck constraints on reionization history", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628897

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, B Comis, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, "Planck intermediate results: XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628890

PAR Ade, N Aghanim, HD Aller, MF Aller, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, A Catalano, HC Chiang, PR Christensen, DL Clements, LPL Colombo, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, A Ducout, X Dupac, G Efstathiou, F Elsner, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gruppuso, MA Gurwell, FK Hansen, DL Harrison, S Henrot-Versillé, "Planck intermediate results: XLV. Radio spectra of northern extragalactic radio sources", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527780

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, D Contreras, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, S Dusini, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, FK Hansen, S Henrot-Versillé, "Planck intermediate results: XLIX. Parity-violation constraints from polarization data", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201629018

N Aghanim, MIR Alves, D Arzoumanian, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, JF Cardoso, HC Chiang, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, K Ferrière, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, "Planck intermediate results: XLIV. Structure of the Galactic magnetic field from dust polarization maps of the southern Galactic cap", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628636

R Adam, PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, M Bersanelli, P Bielewicz, I Bikmaev, A Bonaldi, JR Bond, J Borrill, FR Bouchet, R Burenin, C Burigana, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, E Churazov, LPL Colombo, C Combet, B Comis, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, RT Génova-Santos, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, "Planck intermediate results: XLIII. Spectral energy distribution of dust in clusters of galaxies", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628522

R Adam, PAR Ade, MIR Alves, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, T Ghosh, M Giard, E Gjerløw, J González-Nuevo, KM Górski, "Planck intermediate results: XLII. Large-scale Galactic magnetic fields", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201528033

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, T Ghosh, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gruppuso, "Planck intermediate results: XLI. A map of lensing-induced B -modes", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527932

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, "Planck intermediate results: XL. the Sunyaev-Zeldovich signal from the Virgo cluster", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527743

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, J Fergusson, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, "Planck 2015 results: XXVIII. the Planck Catalogue of Galactic cold clumps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525819

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, R Barrena, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, I Bikmaev, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, R Burenin, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, G Chon, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, H Dahle, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, "Planck 2015 results: XXVII. The second Planck catalogue of Sunyaev-Zeldovich sources", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525823

PAR Ade, N Aghanim, F Arguëso, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, C Beichman, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, M Clemens, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XXVI. The Second Planck Catalogue of Compact Sources", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526914

PAR Ade, N Aghanim, MIR Alves, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XXV. Diffuse low-frequency Galactic foregrounds", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526803

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XXIV. Cosmology from Sunyaev-Zeldovich cluster counts", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525833

PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, A Catalano, A Chamballu, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, I Flores-Cacho, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, "Planck 2015 results: XXIII. The thermal Sunyaev-Zeldovich effect-cosmic infrared background correlation", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527418

N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, "Planck 2015 results: XXII. A map of the thermal Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525826

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, "Planck 2015 results: XXI. The integrated Sachs-Wolfe effect", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525831

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XX. Constraints on inflation", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525898

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, S Feeney, J Fergusson, "Planck 2015 results: XVIII. Background geometry and topology of the Universe", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525829

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XVII. Constraints on primordial non-Gaussianity", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525836

PAR Ade, N Aghanim, Y Akrami, PK Aluri, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XVI. Isotropy and statistics of the CMB", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526681

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XV. Gravitational lensing", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525941

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, J Chluba, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XIX. Constraints on primordial magnetic fields", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525821

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, "Planck 2015 results: XIV. Dark energy and modified gravity", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525814

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, J Chluba, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, "Planck 2015 results: XIII. Cosmological parameters", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525830

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, G Castex, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XII. Full focal plane simulations", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527103

N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, HC Chiang, PR Christensen, DL Clements, LPL Colombo, C Combet, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, "Planck 2015 results: XI. CMB power spectra, likelihoods, and robustness of parameters", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526926

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: X. Diffuse component separation: Foreground maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525967

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, "Planck 2015 results: VIII. High Frequency Instrument data processing: Calibration and maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525820

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, "Planck 2015 results: VII. High Frequency Instrument data processing: Time-ordered information and beams", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525844

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, "Planck 2015 results: VI. LFI mapmaking", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525813

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, P Battaglia, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, "Planck 2015 results: V. LFI calibration", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526632

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, G Castex, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: IX. Diffuse component separation: CMB maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525936

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, "Planck 2015 results: IV. Low Frequency Instrument beams and window functions", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525809

PAR Ade, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, P Battaglia, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, C Burigana, RC Butler, E Calabrese, A Catalano, PR Christensen, LPL Colombo, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, F Finelli, M Frailis, C Franceschet, E Franceschi, S Galeotta, S Galli, K Ganga, T Ghosh, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, FK Hansen, DL Harrison, C Hernández-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, A Hornstrup, W Hovest, "Planck 2015 results: III. LFI systematic uncertainties", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526998

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, P Battaglia, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, G Castex, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, C Franceschet, "Planck 2015 results: II. Low Frequency Instrument data processings", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525818

R Adam, PAR Ade, N Aghanim, Y Akrami, MIR Alves, F Arguëso, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, P Battaglia, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, I Bikmaev, JJ Bock, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, R Burenin, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, B Casaponsa, G Castex, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, J Chluba, G Chon, PR Christensen, S Church, M Clemens, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, D Contreras, "Planck 2015 results: I. Overview of products and scientific results", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527101

Kristofer Bouchard

2019

Oliver Rübel, Andrew Tritt, Benjamin Dichter, Thomas Braun, Nicholas Cain, Nathan Clack, Thomas J. Davidson, Max Dougherty, Jean-Christophe Fillion-Robin, Nile Graddis, Michael Grauer, Justin T. Kiggins, Lawrence Niu, Doruk Ozturk, William Schroeder, Ivan Soltesz, Friedrich T. Sommer, Karel Svoboda, Lydia Ng, Loren M. Frank, Kristofer Bouchard, "NWB:N 2.0: An Accessible Data Standard for Neurophysiology", bioRxiv, January 17, 2019, doi: https://doi.org/10.1101/523035

2018

K. E. Bouchard, J.B. Aimone, M. Chun, T. Dean, M. Denker, M. Diesmann, D. Donofrio, L.M. Frank, N. Kasthuri, C. Koch, O. Rübel, H. Simon, F. T. Sommer, Prabhat, "International Neuroscience Initiatives Through the Lens of High-Performance Computing", IEEE Computer, April 12, 2018, 51(4):50-59, doi: doi 10.1109/MC.2018.2141039

2016

O. Rübel, M.Dougherty, Prabhat, P. Denes, D. Conant, E. F. Chang, and K. Bouchard, "Methods for Specifying Scienti c Data Standards and Modeling Relationships with Applications to Neuroscience," Frontiers in Neuroinformatics", Frontiers in Neuroinformatics, November 4, 2016, 10, doi: 10.3389/fninf.2016.00048

K. E. Bouchard, J, B. Aimone, M. Chun, T. Dean, M. Denker, M. Diesmann, D. D. Donofrio, L. M. Frank, N. Kasthuri, C. Koch, O. Rübel, H. D. Simon, F. T. Sommer, Prabhat, "High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination", Neuron, November 2, 2016, 92(3):628-631, doi: http://dx.doi.org/10.1016/j.neuron. 2016.10.035

Joshua Boverhof

2017

S Peisert, R Gentz, J Boverhof, C McParland, S Engle, A Elbashandy, D Gunter, "LBNL Open Power Data", January 2017, doi: 10.21990/C21599

YW Cheah, J Boverhof, A Elbashandy, D Agarwal, J Leek, T Epperly, J Eslick, D Miller, "Data management and simulation support accelerating carbon capture through computing", Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016, 2017, 389--398, doi: 10.1109/eScience.2016.7870924

2016

DC Miller, D Agarwal, D Bhattacharyya, J Boverhof, YW Cheah, Y Chen, J Eslick, J Leek, J Ma, P Mahapatra, B Ng, NV Sahinidis, C Tong, SE Zitney, "Innovative computational tools and models for the design, optimization and control of carbon capture processes", Computer Aided Chemical Engineering, 2016, 38:2391--2396, doi: 10.1016/B978-0-444-63428-3.50403-3

Jiri Brabec

2016

J. Brabec, C. Yang, E. Epifanovsky, A.I. Krylov, and E. Ng, "Reduced-cost sparsity-exploiting algorithm for solving coupled-cluster equations", Journal of Computational Chemistry, January 24, 2016, 37:1059–1067, doi: 10.1002/jcc.24293

Maximilian Bremer

2018

Maximilian H Bremer, John D Bachan, Cy P Chan, "Semi-Static and Dynamic Load Balancing for Asynchronous Hurricane Storm Surge Simulations", 2018 Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), November 16, 2018,

Aydin Buluç

2018

Giulia Guidi, Marquita Ellis, Daniel Rokhsar, Katherine Yelick, Aydın Buluç, "BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper (Preprint)", Submitted, 2018, doi: https://doi.org/10.1101/464420

Ariful Azad, Georgios A. Pavlopoulos, Christos A. Ouzounis, Nikos C. Kyrpides, Aydin Buluç, "HipMCL: A high-performance parallel implementation of the Markov cluster algorithm for large scale networks", Nucleic Acids Research, April 2018,

P Koanantakool, A Ali, A Azad, A Buluç, D Morozov, L Oliker, KA Yelick, S-Y Oh, "Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.", Proceedings of Machine Learning Research, PMLR, 2018, 84:1376--1386,

2017

Yang You, Aydin Buluc, James Demmel, "Scaling deep learning on GPU and Knights Landing clusters", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), 2017,

Ariful Azad, Aydin Buluc, "Towards a GraphBLAS Library in Chapel", IPDPS Workshops, Orlando, FL, May 2017,

Aydin Buluc, Tim Mattson, Scott McMillan, Jose Moreira, Carl Yang, "Design of the GraphBLAS API for C", IEEE Workshop on Graph Algorithm Building Blocks, IPDPSW, 2017,

Ariful Azad, Aydin Buluc, "A work-efficient parallel sparse matrix-sparse vector multiplication algorithm", IEEE International Parallel & Distributed Processing Symposium (IPDPS), Orlando, FL, May 2017,

Ariful Azad, Mathias Jacquelin, Aydin Bulu\cc, Esmond G Ng, "The reverse Cuthill-McKee algorithm in distributed-memory", Parallel and Distributed Processing Symposium (IPDPS), 2017 IEEE International, January 2017, 22--31,

M Ellis, E Georganas, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "Performance characterization of de novo genome assembly on leading parallel systems", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10417 LN:79--91, doi: 10.1007/978-3-319-64203-1_6

E Georganas, M Ellis, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "MerBench: PGAS benchmarks for high performance genome assembly", Proceedings of PAW 2017: 2nd Annual PGAS Applications Workshop - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, 2017-Jan:1--4, doi: 10.1145/3144779.3169109

2016

Ariful Azad, Grey Ballard, Aydin Buluc, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams, "Exploiting multiple levels of parallelism in sparse matrix-matrix multiplication", SIAM Journal on Scientific Computing, 38(6), C624–C651, November 2016, doi: 10.1137/15M104253X

Hasan Metin Aktulga, Md. Afibuzzaman, Samuel Williams, Aydın Buluc, Meiyue Shao, Chao Yang, Esmond G. Ng, Pieter Maris, James P. Vary, "A High Performance Block Eigensolver for Nuclear Configuration Interaction Calculations", IEEE Transactions on Parallel and Distributed Systems (TPDS), November 2016, doi: 10.1109/TPDS.2016.2630699

Jeremy Kepner, Peter Aaltonen, David Bader, Aydin Buluç, Franz Franchetti, John Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José Moreira, John Owens, Carl Yang, Marcin Zalewski, Timothy Mattson., "Mathematical foundations of the GraphBLAS", IEEE High Performance Extreme Computing (HPEC), September 1, 2016,

Veronika Strnadova-Neeley, Aydin Buluc, John R. Gilbert, Leonid Oliker, Weimin Ouyang, "LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering", August 30, 2016,

Ariful Azad, Aydın Buluç, "A matrix-algebraic formulation of distributed-memory maximal cardinality matching algorithms in bipartite graphs", Parallel Computing, June 2016,

Ariful Azad, Aydin Buluç, "Distributed-Memory Algorithms for Maximum Cardinality Matching in Bipartite Graphs", IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 2016,

Ariful Azad, Aydın Buluç, Alex Pothen, "Computing Maximum Cardinality Matchings in Parallel on Bipartite Graphs via Tree-Grafting", IEEE Transactions on Parallel and Distributed Systems (TPDS), May 2016,

Ariful Azad, Aydın Buluç, Distributed-memory algorithms for cardinality matching using matrix algebra, SIAM Conference on Parallel Processing for Scientific Computing (PP), Paris, France, April 2016,

P Koanantakool, A Azad, A Buluc, D Morozov, SY Oh, L Oliker, K Yelick, "Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication", Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, January 2016, 842--853, doi: 10.1109/IPDPS.2016.117

Anastasiia Butko

2018

Anastasiia Butko, Albert Chen, David Donofrio, Farzad Fatollahi-Fard, John Shalf, "Open2C: Open-source Generator for Exploration of Coherent Cache Memory Subsystems", MEMSYS '18, New York, NY, USA, ACM, 2018, 311--317, doi: 10.1145/3240302.3270314

2017

Anastasiia Butko, Florent Bruguier, Abdoulaye Gamatié, Gilles Sassatelli, "Efficient Programming for Multicore Processor Heterogeneity: OpenMP versus OmpSs", Open Source Supercomputing Workshop, Frankfurt, Germany, Springer’s Lecture Notes in Computer Science (LNCS), June 22, 2017,

ARM single-ISA heterogeneous multicore processors combine high-performance big cores with power-efficient small cores. They aim at achieving a suitable balance between performance and energy. How- ever, a main challenge is to program such architectures so as to efficiently exploit their features. In this paper, we study the impact on performance and energy trade-offs of single-ISA architecture according to OpenMP 3.0 and the OmpSs programming models. We consider different symmetric/asymmetric architecture configura- tions in terms of core frequency and core count between big and LITTLE clusters. Experiments are conducted on both a real Samsung Exynos 5 Octa system-on-chip and the gem5/McPAT simulation frameworks. Results show that OmpSs implementations are more sensitive to loop scheduling parameters than OpenMP 3.0. In most cases, best OmpSs configurations significantly outperform OpenMP ones. While cluster frequency asym- metry provides uninteresting results, asymmetric cluster configuration with single high-performance core and multiple low-power cores provides better performance/energy trade-offs in many cases. 

Dilip Vasudevan, Anastasiia Butko, George Michelogiannakis, David Donofrio, John Shalf, "Towards an Integrated Strategy to Preserve Digital Computing Performance Scaling Using Emerging Technologies", Workshop on HPC computing in a Post Moore’s law world (HCPM), June 22, 2017,

With the decline and eventual end of historical rates of lithographic scaling, we arrive at a crossroad where synergistic and holistic decisions are required to preserve Moore's law technology scaling. Numerous emerging technologies aim to extend digital electronics scaling of performance, energy efficiency, and computational power/density,
ranging from devices (transistors), memories, 3D integration capabilities, specialized architectures, photonics, and others.
The wide range of technology options creates the need for an integrated strategy to understand the impact of these emerging technologies on future large-scale digital systems for diverse application requirements and optimization metrics.
In this paper, we argue for a comprehensive methodology that spans the different levels of abstraction -- from materials, to devices, to complex digital systems and applications. Our approach integrates compact models of low-level characteristics of the emerging technologies to inform higher-level simulation models to evaluate their responsiveness to application requirements.
The integrated framework can then automate the search for an optimal architecture using available emerging technologies to maximize a targeted optimization metric.

2016

Anastasiia Butko, Florent Bruguier, Abdoulaye Gamatié, Gilles Sassatelli, David Novo, Lionel Torres, Michel Robert, "Full-System Simulation of big. LITTLE Multicore Architecture for Performance and Energy Exploration", Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2016 IEEE 10th International Symposium on, Lyon, France, IEEE, September 21, 2016, doi: 10.1109/MCSoC.2016.20

Single-ISA heterogeneous multicore processors have gained increasing popularity with the introduction of recent technologies such as ARM big.LITTLE. These processors offer increased energy efficiency through combining low power in-order cores with high performance out-of-order cores. Efficiently exploiting this attractive feature requires careful management so as to meet the demands of targeted applications. In this paper, we explore the design of those architectures based on the ARM big.LITTLE technology by modeling performance and power in gem5 and McPAT frameworks. Our models are validated w.r.t. the Samsung Exynos 5 Octa (5422) chip. We show average errors of 20% in execution time, 13% for power consumption and 24% for energy-to-solution.

Rafael Garibotti, Anastasiia Butko, Luciano Ost, Abdoulaye Gamatié, Gilles Sassatelli, Chris Adeniyi-Jones, "Efficient Embedded Software Migration towards Clusterized Distributed-Memory Architectures", IEEE Transactions on Computers, August 1, 2016, doi: 10.1109/TC.2015.2485202

A large portion of existing multithreaded embedded software has been programmed according to symmetric shared memory platforms where a monolithic memory block is shared by all cores. Such platforms accommodate popular parallel programming models such as POSIX threads and OpenMP. However with the growing number of cores in modern manycore embedded architectures, they present a bottleneck related to their centralized memory accesses. This paper proposes a solution tailored for an efficient execution of applications defined with shared-memory programming models onto on-chip distributed-memory multicore architectures. It shows how performance, area and energy consumption are significantly improved thanks to the scalability of these architectures. This is illustrated in an open-source realistic design framework, including tools from ASIC to microkernel.

Anastasiia Butko, Louisa Bessad, David Novo, Florent Bruguier, Abdoulaye Gamatié, Gilles Sassatelli, Lionel Torres, Michel Robert, "Position Paper: OpenMP scheduling on ARM big. LITTLE architecture", 9th Int’l Workshop on Programmability and Architectures for Heterogeneous Multicores (MULTIPROG), Prague, Czech Republic, January 18, 2016,

Single-ISA heterogeneous multicore systems are emerging as a promising direction to 
achieve a more suitable balance between performance and energy consumption. However, 
a proper utilization of these architectures is essential to reach the energy benefits. In this 
paper, we demonstrate the ineffectiveness of popular OpenMP scheduling policies 
executing Rodinia benchmark on the Exynos 5 Octa (5422) SoC, which integrates the ARM 
big. LITTLE architecture.

Surendra Byna

2019

Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang, "SLOPE: Structural Locality-aware Programming Model for Composing Array Data Analysis", ISC 2019 ((Acceptance rate:24%),), June 16, 2019,

S. Kim, A. Sim, K. Wu, S. Byna, T. Wang, Y. Son, H. Eom, "DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File System", 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2019), 2019,

Babak Behzad, Suren Byna, Prabhat, and Marc Snir, "Optimizing I/O Performance of HPC Applications with Autotuning", ACM Transactions on Parallel Computing (TOPC), February 28, 2019,

Beytullah Yildiz, Kesheng Wu, Suren Byna, and Arie Shoshani, "Parallel membership queries on very large scientific data sets using bitmap indexes", Concurrency and Computation: Practice and Experience, January 28, 2019,

2018

Suren Byna, Quincey Koziol, Venkatram Vishwanath, Jerome Soumagne, Houjun Tang, Kimmy Mu, Richard Warren, François Tessier, Bin Dong, Teng Wang, and Jialin Liu, Proactive Data Containers (PDC): An object-centric data store for large-scale computing systems, AGU Fall Meeting, December 13, 2018,

Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, and Suren Byna, "ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage", IEEE BigData, 2018, December 10, 2018,

Glenn Lockwood, Shane Snyder, Teng Wang, Suren Byna, Phil Carns, and Nicholas Wright, "A Year in the Life of a Parallel File System", International Conference for High Performance Computing, Networking, and Storage (SC'18), IEEE / ACM, November 15, 2018,

Fahim Chowdhury, Jialin Liu, Quincey Koziol, Thorsten Kurth, Steven Farrell, Suren Byna, Prabhat, Weikuan Yu,, Initial Characterization of I/O in Large-Scale Deep Learning Applications, 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (PDSW-DISCS), November 13, 2018,

Jialin Liu, Quincey Koziol, Gregory Butler, Neil Fortner, Mohamad Chaarawi, Houjun Tang, Suren Byna, Glenn Lockwood, Ravi Cheema, Kristy Kallback-Rose, Damian Hazen, Prabhat, "Evaluation of HPC Application I/O on Object Storage Systems", 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (PDSW-DISCS), November 12, 2018,

Wei Zhang, Houjun Tang, Suren Byna, Yong Chen, "DART: Distributed Adaptive Radix Tree for Efficient Affix-based Keyword Search on HPC Systems", Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, November 1, 2018, 24,

Kimmy Mu, Jerome Soumagne, Houjun Tang, Suren Byna, Quincey Koziol, Richard Warren, "A Server-managed Transparent Object Storage Abstraction for HPC", 2018 IEEE International Conference on Cluster Computing (CLUSTER), September 10, 2018,

Teng Wang, Suren Byna, Glenn Lockwood, Nicholas Wright, Phil Carns, and Shane Snyder,, "IOMiner: Large-scale Analytics Framework for Gaining Knowledge from I/O Logs", IEEE Cluster 2018, September 10, 2018,

Teng Wang, Suren Byna, Bin Dong, and Houjun Tang, "UniviStor: Integrated Hierarchical and Distributed Storage for HPC", IEEE Cluster 2018., September 1, 2018,

Houjun Tang, Suren Byna, Francois Tessier, Teng Wang, Bin Dong, Jingqing Mu, Quincey Koziol, Jerome Soumagne, Venkatram Vishwanath, Jialin Liu, and Richard Warren, "Toward Scalable and Asynchronous Object-centric Data Management for HPC", 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2018, May 1, 2018,

Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, and Paul Brown,, "ArrayBridge: Interweaving declarative array processing with imperative high-performance computing", 34th IEEE International Conference on Data Engineering (ICDE) 2018, April 17, 2018,

Bharti Wadhwa, Suren Byna, Ali R. Butt, "Toward Transparent Data Management in Multi-layer Storage Hierarchy for HPC Systems", IEEE International Conference on Cloud Engineering 2018 (IC2E 2018), April 17, 2018,

2017

Glenn Lockwood, Shane Snyder, Wucherl Yoo, Kevin Harms, Zachary Nault, Suren Byna, Philip Carns, Nicholas Wright, "UMAMI: A Recipe for Generating Meaningful Metrics through Holistic I/O Performance Analysis", 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS), 2017 (Held in conjunction with SC17), November 14, 2017,

Houjun Tang, Suren Byna, Bin Dong, Jialin Liu, and Quincey Koziol, "SoMeta: Scalable Object-centric Metadata Management for High Performance Computing", IEEE Cluster 2017, September 5, 2017,

Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu, "ArrayUDF: User-Defined Scientific Data Analysis on Arrays", The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2017 (Acceptance rate:19%), June 26, 2017,

Suren Byna, Mohamad Chaarawi, Quincey Koziol, John Mainzer, and Frank Willmore,, "Tuning HDF5 subfiling performance on parallel file systems", Cray User Group (CUG) meeting 2017, May 10, 2017,

Cong Xu, Shane Snyder, Omkar Kulkarni, Vishwanath Venkatesan, Philip Carns, Suren Byna, Robert Sisneros, and Kalyana Chadalavada,, "DXT: Darshan eXtended Tracing", Cray User Group (CUG) meeting 2017, May 10, 2017,

Jialin Liu, Quincey Koziol, Houjun Tang, François Tessier, Wahid Bhimji, Brandon Cook, Brian Austin, Suren Byna, Bhupender Thakur, Glenn Lockwood, Jack Deslippe, Prabhat, "Understanding the I/O Performance Gap Between Cori KNL and Haswell", Cray User Group Conference 2017 (CUG 2017), May 1, 2017,

2016

Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, and Noel Keen, "Data Elevator: Low-contention Data Movement in Hierarchical Storage System", The 23rd annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) (Acceptance rate: 25%), December 19, 2016,

Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F Martín, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F Samatova, "Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications", 2016 IEEE International Conference on Big Data (Big Data) (Acceptance rate: 19.39% as short papers.), December 5, 2016,

M. Bryson, S. Byna (Advisor), A. Sim (Advisor), K. Wu (Advisor), "The Search for Missing Parallel IO Performance on the Cori Supercomputer", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’16), ACM Student Research Competition (SRC), 2016,

Houjun Tang, Suren Byna, Steve Harenberg, Wenzhao Zhang, Xiaocheng Zou, Daniel F Martin, Bin Dong, Dharshi Devendran, Kesheng Wu, David Trebotich, others, "In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses", 2016 45th International Conference on Parallel Processing (ICPP) (Acceptance rate: 21.1%), August 16, 2016, 406--415,

Bin Dong, Suren Byna, and Kesheng Wu,, "SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting", The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2016, July 1, 2016,

Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter Sadowski, Evan Racah, Suren Byna, Craig Tull, Wahid Bhimji, Prabhat, and Pradeep Dubey,, "PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures", 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS) 2016, Chicago, May 23, 2016,

Wahid Bhimji, Debbie Bard, Melissa Romanus, David Paul, Andrey Ovsyannikov, Brian Friesen, Matt Bryson, Joaquin Correa, Glenn K. Lockwood, Vakho Tsulaia, Suren Byna, Steve Farrell, Doga Gursoy, Chris Daley, Vince Beckner, Brian Van Straalen, Nicholas Wright, Katie Antypas, Prabhat,, "Accelerating Science with the NERSC Burst Buffer Early User Program", Cray User Group (CUG) 2016, May 10, 2016,

Cong Xu, Suren Byna, Vishwanath Venkatesan, Robert Sisneros, Omkar Kulkarni, Mohamad Chaarawi, and Kalyana Chadalavada, "LIOProf: Exposing Lustre File System Behavior for I/O Middleware", Cray User Group (CUG) 2016, May 10, 2016,

Dharshi Devendran, Suren Byna, Bin Dong, Brian van Straalen, Hans Johansen, Noel Keen, and Nagiza Samatova,, "Collective I/O Optimizations for Adaptive Mesh Refinement Data Writes on Lustre File System", Cray User Group (CUG) 2016, May 10, 2016,

Harinarayan Krishnan, Burlen Loring, Suren Byna, Michael F. Wehner, Travis A. O'Brien, Prabhat, Chris Paciorek, and Daithi Stone, "Enabling End-to-End Climate Science Workflows in High Performance Computing Environments", The AMS (American Meteorological Society) 96th Annual Meeting, January 6, 2016,

Burlen Loring, Suren Byna, Prabhat, Junmin Gu, Hari Krishnan, Michael Wehner, and Oliver Ruebel, "TECA an Extreme Event Detection and Climate Analysis Package for High Performance Computing", The AMS (American Meteorological Society) 96th Annual Meeting, January 6, 2016,

Houjun Tang, Suren Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rubel, Kristofer Bouchard, Scott Klasky, others, "Usage Pattern-Driven Dynamic Data Layout Reorganization", Cluster, Cloud and Grid Computing (CCGrid), 2016 16th IEEE/ACM International Symposium on, January 1, 2016, 356--365,

Wenzhao Zhang, Houjun Tang, Steve Harenberg, Surendra Byna, Xiaocheng Zou, Dharshi Devendran, Daniel F Martin, Kesheng Wu, Bin Dong, Scott Klasky, others, "AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications", Cluster, Cloud and Grid Computing (CCGrid), 2016 16th IEEE/ACM International Symposium on, January 1, 2016, 116--125,

Xiaocheng Zou, David Boyuka, Dhara Desai, Martin, Suren Byna, Kesheng Wu, Kushal, Bin Dong, Wenzhao Zhang, Houjun Tang Dharshi Devendran, David Trebotich, Scott, Hans Johansen, Nagiza Samatova, "AMR-aware In Situ Indexing and Scalable Querying", The 24th High Performance Computing Symposium (HPC, January 1, 2016,

David Camp

2018

B Loring, A Myers, D Camp, EW Bethel, "Python-based in situ analysis and visualization", Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - ISAV 18, ACM Press, 2018, doi: 10.1145/3281464.3281465

Andrew Canning

2019

M. Del Ben, F.H. da Jornada, A. Canning, N. Wichmann, K. Raman, R. Sasanka, C. Yang, S.G. Louie, J. Deslippe, "Large-scale GW calculations on pre-exascale HPC systems", Computer Physics Communications, 2019, 235:187-195, doi: 10.1016/j.cpc.2018.09.003

2018

D. Broberg, B. Medasani, N.E.R. Zimmermann, G. Yu, A. Canning, M. Haranczyk, M. Asta, G. Hautier, "PyCDT: A Python toolkit for modeling point defects in semiconductors and insulators", Computer Physics Communications, 2018, 226:165-179, doi: 10.1016/j.cpc.2018.01.004

2017

C.D. Pemmaraju, R. Copping, D.E. Smiles, D.K. Shuh, N. Grønbech-Jensen, D. Prendergast, A. Canning, "Coordination Characteristics of Uranyl BBP Complexes: Insights from an Electronic Structure Analysis", ACS Omega, 2017, 2:1055-1062, doi: 10.1021/acsomega.6b00459

2016

B. Medasani, A. Gamst, H. Ding, W. Chen, K.A. Persson, M. Asta, A. Canning, M. Haranczyk, "Predicting defect behavior in B2 intermetallics by merging ab initio modeling and machine learning", npj Computational Materials, 2016, 2, doi: 10.1038/s41524-016-0001-z

S.E. Derenzo, E. Bourret-Courshesne, G. Bizarri, A. Canning, "Bright and ultra-fast scintillation from a semiconductor?", Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2016, 805:36-40, doi: 10.1016/j.nima.2015.07.033

Jonathan Carter

2018

JI Colless, VV Ramasesh, D Dahlen, MS Blok, ME Kimchi-Schwartz, JR McClean, J Carter, WA De Jong, I Siddiqi, "Computation of Molecular Spectra on a Quantum Processor with an Error-Resilient Algorithm", Physical Review X, 2018, 8, doi: 10.1103/PhysRevX.8.011021

2017

JR McClean, ME Kimchi-Schwartz, J Carter, WA De Jong, "Hybrid quantum-classical hierarchy for mitigation of decoherence and determination of excited states", Physical Review A, 2017, 95, doi: 10.1103/PhysRevA.95.042308

Cy Chan

2018

Maximilian H Bremer, John D Bachan, Cy P Chan, "Semi-Static and Dynamic Load Balancing for Asynchronous Hurricane Storm Surge Simulations", 2018 Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), November 16, 2018,

Cy P Chan, Bin Wang, John D Bachan, Jane Macfarlane, "Mobiliti: Scalable Transportation Simulation Using High-Performance Parallel Computing", 2018 IEEE International Conference on Intelligent Transportation Systems (ITSC), November 6, 2018,

Cy Chan, Vesselin Drensky, Alan Edelman, Raymond Kan, Plamen Koev, "On Computing Schur Functions and Series Thereof", Journal of Algebraic Combinatorics, October 20, 2018,

Bin Wang, John D Bachan, Cy P Chan, "ExaGridPF: A parallel power flow solver for transmission and unbalanced distribution systems", 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), February 22, 2018,

2016

Cy Chan, John Bachan, Joseph Kenny, Jeremiah Wilke, Vincent Beckner, Ann Almgren, John Bell, "Topology-Aware Performance Optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale", (BEST PAPER AWARD) COMHPC 2016 - SC16 Workshop on Communication Optimization in High Performance Computing, Salt Lake City, UT, November 18, 2016,

Best Paper Award

You-Wei Cheah

2018

You-Wei Cheah, Danielle Svehla Christianson, Housen Chu, Gilberto Pastorello, Fianna O’Brien, Yeongshnn Ong, Catharine van Ingen, Margaret Torn, Deb Agarwal, AmeriFlux BADM: Implementing lessons from 12 years of long-tail data management into next generation earth science systems (IN34A-03), 2018 AGU Fall Meeting, Washington, D.C., December 12, 2018,

Cheah You-Wei, Drew Paine, Devarshi Ghoshal, Lavanya Ramakrishnan, Bringing Data Science to Qualitative Analysis, 2018 IEEE 14th International Conference on e-Science, Pages: 325-326 2018, doi: 10.1109/eScience.2018.00076

2017

YW Cheah, J Boverhof, A Elbashandy, D Agarwal, J Leek, T Epperly, J Eslick, D Miller, "Data management and simulation support accelerating carbon capture through computing", Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016, 2017, 389--398, doi: 10.1109/eScience.2016.7870924

Gilberto Z. Pastorello, Dan K. Gunter, Housen Chu, Danielle S. Christianson, Carlo Trotta, Eleonora Canfora, Boris Faybishenko, You-Wei Cheah, Norm Beekwilder, Stephen W. Chan, Sigrid Dengel, Trevor Keenan, Fianna O Brien, Abderahman Elbashandy, Cristina M. Poindexter, Marty Humphrey, Dario Papale, Deb A. Agarwal, "Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures", Proceedings of the 13th IEEE International Conference on e-Science (e-Science 2017), Auckland, New Zealand, 2017, doi: 10.1109/eScience.2017.64

2016

DC Miller, D Agarwal, D Bhattacharyya, J Boverhof, YW Cheah, Y Chen, J Eslick, J Leek, J Ma, P Mahapatra, B Ng, NV Sahinidis, C Tong, SE Zitney, "Innovative computational tools and models for the design, optimization and control of carbon capture processes", Computer Aided Chemical Engineering, 2016, 38:2391--2396, doi: 10.1016/B978-0-444-63428-3.50403-3

Shreyas Cholia

2019

C. Varadharajan, S. Cholia, C. Snavely, V. Hendrix, C. Procopiou, D. Swantek, W. J. Riley, and D. A. Agarwal, "Launching an accessible archive of environmental data", Eos, 100, January 8, 2019, doi: https://doi.org/10.1029/2019EO111263

2018

Wahid Bhimji, Steven Farrell, Oliver Evans, Matthew Henderson, Shreyas Cholia, Aaron Vose, Mr Prabhat, Rollin Thomas, Richard Shane Canon, "Interactive HPC Deep Learning with Jupyter Notebooks", Supercomputing 2018, Dallas, TX, November 2018,

Shreyas Cholia, Matthew Henderson, Oliver Evans, Fernando Perez, "Kale: A System for Enabling Human-in-the-loop Interactivity in HPC Workflows", Science Gateways 2018, figshare, September 26, 2018, doi: 10.6084/m9.figshare.7067075.v3

S. Farrell, A. Vose, O. Evans, M. Henderson, S. Cholia, W. Bhimji, R. Thomas, S.
Canon, and Prabhat,,
"Interactive Distributed Deep Learning with Jupyter Notebooks", ISC Workshop on Interactive High-Performance Computing, June 28, 2018,

Dáithí A Stone, Mark D Risser, Oliver M Angélil, Michael F Wehner, Shreyas Cholia, Noel Keen, Harinarayan Krishnan, Travis A O Brien, William D Collins, "A basis set for exploration of sensitivity to prescribed ocean conditions for estimating human contributions to extreme weather in CAM5. 1-1degree", Weather and climate extremes, 2018, 19:10--19,

Anubhav Jain, Joseph Montoya, Shyam Dwaraknath, Nils ER Zimmermann, John Dagdelen, Matthew Horton, Patrick Huck, Donny Winston, Shreyas Cholia, Shyue Ping Ong, others, "The Materials Project: Accelerating Materials Design Through Theory-Driven Data and Tools", Handbook of Materials Modeling: Methods: Theory and Modeling, (Springer: 2018) Pages: 1--34

2017

Shreyas Cholia, Matthew Henderson, Oliver Evans, Demo: Extending Jupyter to Support Interactive High Performance Computing, Science Gateways 2017, October 2017, doi: 10.6084/m9.figshare.5501137.v1

DA Agarwal, C Varadharajan, S Cholia, C Snavely, VC Hendrix, D Gunter, WJ Riley, M jones, AE budden, D Vieglas, Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE)-A New US DOE Data Archive, 2017,

Rollin Thomas, Shane Canon, Shreyas Cholia, Lisa Gerhardt, Evan Racah, "Toward Interactive Supercomputing at NERSC with Jupyter", Cray User Group (CUG) Conference Proceedings, 2017,

2016

Patrick Huck, Dan Gunter, Shreyas Cholia, Donald Winston, AT N Diaye, Kristin Persson, "User applications driven by the community contribution framework MPContribs in the Materials Project", Concurrency and Computation: Practice and Experience, 2016, 28:1982--1993,

A Greiner, E Racah, R Canon, J Liu, Y Liu, D Bard, L Gerhardt, R Thomas, S Cholia, J Porter, W Bhimji, Q Koziol, Prabhat, "Data-Intensive Supercomputing for Science", 2016,

Danielle Svehla Christianson

2017

Danielle S. Christianson, Charuleka Varadharajan, Bradley Christoffersen, Matteo Detto, Faybishenko, Bruno O. Gimenez, Val C. Hendrix, Kolby J. Jardine, Robinson Negron-Juarez, Z. Pastorello, Thomas L. Powell, Megha Sandesh, Jeffrey M. Warren, Brett T. Wolfe, Jeffrey Q. Chambers, Lara M. Kueppers, Nathan G. McDowell, Deborah A. Agarwal, "A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations", Ecological Informatics, 2017, 42:148-158, doi: 10.1016/j.ecoinf.2017.06.002

Gilberto Z. Pastorello, Dan K. Gunter, Housen Chu, Danielle S. Christianson, Carlo Trotta, Eleonora Canfora, Boris Faybishenko, You-Wei Cheah, Norm Beekwilder, Stephen W. Chan, Sigrid Dengel, Trevor Keenan, Fianna O Brien, Abderahman Elbashandy, Cristina M. Poindexter, Marty Humphrey, Dario Papale, Deb A. Agarwal, "Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures", Proceedings of the 13th IEEE International Conference on e-Science (e-Science 2017), Auckland, New Zealand, 2017, doi: 10.1109/eScience.2017.64

2016

Danielle S Christianson, Cari G Kaufman, "Effects of sample design and landscape features on a measure of environmental heterogeneity", Methods in Ecology and Evolution, 2016, 7:770--782,

Gustavo Chávez

2018

E. Rebrova, G. Chavez, Y. Liu, P. Ghysels, X. S. Li, "A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression", IEEE IPDPSW, 2018,

Phillip Colella

2017

Protonu Basu, Samuel Williams, Brian Van Straalen, Leonid Oliker, Phillip Colella, Mary Hall, "Compiler-Based Code Generation and Autotuning for Geometric Multigrid on GPU-Accelerated Supercomputers", Parallel Computing (PARCO), April 2017, doi: 10.1016/j.parco.2017.04.002

2016

Jared O. Ferguson, Christiane Jablonowski, Hans Johansen, Peter McCorquodale, Phillip Colella, Paul A. Ullrich, "Analyzing the adaptive mesh refinement (AMR) characteristics of a high-order 2D cubed-sphere shallow-water model", Mon. Wea. Rev., November 9, 2016, 144:4641–4666, doi: 10.1175/MWR-D-16-0197.1

Boris Lo, Victor Minden, Phillip Colella, "A real-space Green’s function method for the numerical solution of Maxwell’s equations", Communications in Applied Mathematics and Computational Science, August 11, 2016, 11.2:143-170, doi: 10.2140/camcos.2016.11.143

Andrew Myers, Phillip Colella, Brian Van Straalen, "A 4th-Order Particle-in-Cell Method with Phase-Space Remapping for the Vlasov-Poisson Equation", submitted to SISC, February 1, 2016,

Andrew Myers, Phillip Colella, Brian Van Straalen, "The Convergence of Particle-in-Cell Schemes for Cosmological Dark Matter Simulations", The Astrophysical Journal, Volume 816, Issue 2, article id. 56, 2016,

Marcus S. Day

2019

J Muller, M Day, "Surrogate Optimization of Computationally Expensive Black-box Problems with Hidden Constraints", INFORMS Journal on Computing, 2019,

2018

DK Dalakoti, A Krisman, B Savard, A Wehrfritz, H Wang, MS Day, JB Bell, ER Hawkes, "Structure and propagation of two-dimensional, partially premixed, laminar flames in diesel engine conditions", Proceedings of the Combustion Institute, 2018, doi: 10.1016/j.proci.2018.06.169

D Dasgupta, W Sun, MS Day, AJ Aspden, TC Lieuwen, "Investigation of turbulence effects on chemical pathways for n-dodecane", AIAA Aerospace Sciences Meeting, 2018, 2018, doi: 10.2514/6.2018-1426

FP Hamon, MS Day, ML Minion, "Concurrent implicit spectral deferred correction scheme for low-Mach number combustion with detailed chemistry", Combustion Theory and Modelling, 2018, doi: 10.1080/13647830.2018.1524156

A Nonaka, MS Day, JB Bell, "A conservative, thermodynamically consistent numerical approach for low Mach number combustion. Part I: Single-level integration", Combustion Theory and Modelling, 2018, 22:156--184, doi: 10.1080/13647830.2017.1390610

M Morzfeld, MS Day, RW Grout, GSH Pau, SA Finsterle, JB Bell, "Iterative importance sampling algorithms for parameter estimation", SIAM Journal on Scientific Computing, 2018, 40:B329--B352, doi: 10.1137/16M1088417

2017

D Dasgupta, W Sun, M Day, T Lieuwen, "Effect of turbulence–chemistry interactions on chemical pathways for turbulent hydrogen–air premixed flames", Combustion and Flame, 2017, 176:191--201, doi: 10.1016/j.combustflame.2016.09.029

AJ Aspden, JB Bell, MS Day, FN Egolfopoulos, "Turbulence-flame interactions in lean premixed dodecane flames", Proceedings of the Combustion Institute, 2017, 36:2005--2016, doi: 10.1016/j.proci.2016.07.068

D Dasgupta, W Sun, MS Day, TC Lieuwen, "Turbulence effects on the chemical pathways for premixed methane/air flames", AIAA SciTech Forum - 55th AIAA Aerospace Sciences Meeting, 2017, doi: 10.2514/6.2017-1782

D Dasgupta, W Sun, M Day, T Lieuwen, "Sensitivity of chemical pathways to reaction mechanisms for n-dodecane", 10th U.S. National Combustion Meeting, 2017, 2017-Apr,

S Yellapantula, JB Bell, E Motheau, MS Day, RW Grout, "Impact of non-ideal corrections to equation of state, thermodynamics, and chemical kinetics on one-dimensional freely propagating flame structure", 2017 Fall Technical Meeting of the Western States Section of the Combustion Institute, WSSCI 2017, 2017,

D. Dalakoti, E. Hawkes, M. Day, J. Bell, "Direct numerical simulation of two-stage combustion and flame stabilization in diesel engine-relevant conditions", 26th ICDERS, 2017,

2016

Brian Friesen, Ann Almgren, Zarija Lukić, Gunther Weber, Dmitriy Morozov, Vincent Beckner, Marcus Day, "In situ and in-transit analysis of cosmological simulations", Computational Astrophysics and Cosmology, 2016, 3 (4):1-18,

Weiqun Zhang, Ann Almgren, Marcus Day, Tan Nguyen, John Shalf, Didem Unat, "BoxLib with Tiling: An AMR Software Framework", SIAM Journal on Scientific Computing, 2016,

WE Pazner, A Nonaka, JB Bell, MS Day, ML Minion, "A high-order spectral deferred correction strategy for low Mach number flow with complex chemistry", Combustion Theory and Modelling, 2016, 20:521--547, doi: 10.1080/13647830.2016.1150519

AJ Aspden, MS Day, JB Bell, "Three-dimensional direct numerical simulation of turbulent lean premixed methane combustion with detailed kinetics", Combustion and Flame, 2016, 166:266--283, doi: 10.1016/j.combustflame.2016.01.027

D Dasgupta, W Sun, MS Day, TC Lieuwen, "Investigation of chemical pathways for turbulent hydrogen-air premixed flames", 54th AIAA Aerospace Sciences Meeting, 2016,

James Demmel

2018

Grey Ballard, James Demmel, Laura Grigori, Mathias Jacquelin, Nicholas Knight, "A 3D Parallel Algorithm for QR Decomposition", SPAA '18, 2018,

2017

Yang You, Aydin Buluc, James Demmel, "Scaling deep learning on GPU and Knights Landing clusters", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), 2017,

2016

Ariful Azad, Grey Ballard, Aydin Buluc, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, Samuel Williams, "Exploiting multiple levels of parallelism in sparse matrix-matrix multiplication", SIAM Journal on Scientific Computing, 38(6), C624–C651, November 2016, doi: 10.1137/15M104253X

Dharshi Devendran

2017

Dharshi Devendran, Daniel T. Graves, Hans Johansen,Terry Ligocki, "A Fourth Order Cartesian Grid Embedded Boundary Method for Poisson's Equation", Communications in Applied Mathematics and Computational Science, edited by Silvio Levy, May 12, 2017, 12:51-79, doi: DOI 10.2140/camcos.2017.12.51

2016

Dharshi Devendran, Suren Byna, Bin Dong, Brian van Straalen, Hans Johansen, Noel Keen, and Nagiza Samatova,, "Collective I/O Optimizations for Adaptive Mesh Refinement Data Writes on Lustre File System", Cray User Group (CUG) 2016, May 10, 2016,

Xiaocheng Zou, David Boyuka, Dhara Desai, Martin, Suren Byna, Kesheng Wu, Kushal, Bin Dong, Wenzhao Zhang, Houjun Tang Dharshi Devendran, David Trebotich, Scott, Hans Johansen, Nagiza Samatova, "AMR-aware In Situ Indexing and Scalable Querying", The 24th High Performance Computing Symposium (HPC, January 1, 2016,

Nan Ding

2018

Nan Ding, Victor W Lee, Wei Xue, Weimin Zheng, "Understanding Potential Performance Issues Using Resource-based Alongside Time Models", SC'18, November 13, 2018,

Nan Ding, Shiming Xu, Zhenya Song, Baoquan Zhang, Jingmei Li, Zhigao Zheng, "Using Hardware Counters-based Performance Model to Diagnose Scaling Issues of HPC Applications", NCAA'18, April 25, 2018,

Nan Ding, WeiXue, Zhenya Song, Haohuan Fub, Shiming Xu, WeiminZhenga, "An automatic performance model-based scheduling tool for coupled climate system models", JPDC, January 31, 2018,

2017

Haohuan Fu, Junfeng Liao, Nan Ding, Xiaohui Duan, Lin Gan,Yishuang Liang,Xinliang Wang,Jinzhe Yang,Yan Zheng,Weiguo Liu,Lanning Wang,Guangwen Yang, "Redesigning CAM-SE for peta-scale climate modeling performance and ultra-high resolution on Sunway TaihuLight (ACM Gordon Bell Prize Finalist)", SC'17, November 12, 2017,

2016

Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, Dexun Chen, Long Gu, Jinxiu Xu, Nan Ding, Xinliang Wang, Conghui He, Shizhen Xu, Yishuang Liang, Jiarui Fang, Yuanchao Xu, Weijie Zheng, etc., "Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer", SC'16, November 13, 2016,

Bin Dong

2019

Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang, "SLOPE: Structural Locality-aware Programming Model for Composing Array Data Analysis", ISC 2019 ((Acceptance rate:24%),), June 16, 2019,

2018

Suren Byna, Quincey Koziol, Venkatram Vishwanath, Jerome Soumagne, Houjun Tang, Kimmy Mu, Richard Warren, François Tessier, Bin Dong, Teng Wang, and Jialin Liu, Proactive Data Containers (PDC): An object-centric data store for large-scale computing systems, AGU Fall Meeting, December 13, 2018,

Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, and Suren Byna, "ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage", IEEE BigData, 2018, December 10, 2018,

Xin Xing, Bin Dong, Jonathan Ajo-Franklin, Kesheng Wu, "Automated Parallel Data Processing Engine with Application to Large-Scale Feature Extraction", 2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC) in SC 2018, November 10, 2018,

Teng Wang, Suren Byna, Bin Dong, and Houjun Tang, "UniviStor: Integrated Hierarchical and Distributed Storage for HPC", IEEE Cluster 2018., September 1, 2018,

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Ho, and Peter Nugent, "Distributed Caching for Processing Raw Arrays", SSDBM, 2018,

Houjun Tang, Suren Byna, Francois Tessier, Teng Wang, Bin Dong, Jingqing Mu, Quincey Koziol, Jerome Soumagne, Venkatram Vishwanath, Jialin Liu, and Richard Warren, "Toward Scalable and Asynchronous Object-centric Data Management for HPC", 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2018, May 1, 2018,

2017

Tzu-Hsien Wu, Jerry Chou, Shyng Hao, Bin Dong, KeshengWu, Scott Klasky, "Optimizing the Query Performance of Block Index Through Data Analysis and I/O Modeling", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), November 13, 2017,

Houjun Tang, Suren Byna, Bin Dong, Jialin Liu, and Quincey Koziol, "SoMeta: Scalable Object-centric Metadata Management for High Performance Computing", IEEE Cluster 2017, September 5, 2017,

Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu, "ArrayUDF: User-Defined Scientific Data Analysis on Arrays", The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2017 (Acceptance rate:19%), June 26, 2017,

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, and Peter Nugent, "Incremental View Maintenance over Array Data", In Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD '17) (Acceptance rate: 20%). ACM, New York, NY, USA, May 14, 2017,

2016

Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, and Noel Keen, "Data Elevator: Low-contention Data Movement in Hierarchical Storage System", The 23rd annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) (Acceptance rate: 25%), December 19, 2016,

Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F Martín, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F Samatova, "Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications", 2016 IEEE International Conference on Big Data (Big Data) (Acceptance rate: 19.39% as short papers.), December 5, 2016,

Houjun Tang, Suren Byna, Steve Harenberg, Wenzhao Zhang, Xiaocheng Zou, Daniel F Martin, Bin Dong, Dharshi Devendran, Kesheng Wu, David Trebotich, others, "In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses", 2016 45th International Conference on Parallel Processing (ICPP) (Acceptance rate: 21.1%), August 16, 2016, 406--415,

Bin Dong, Suren Byna, and Kesheng Wu,, "SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting", The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2016, July 1, 2016,

Tzuhsien Wu, Shyng Hao, Jerry Chou, Bin Dong and Kesheng Wu, "Indexing Blocks to Reduce Space and Time Requirements for Searching Large Data Files", 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2016, May 16, 2016,

Houjun Tang, Suren Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rubel, Kristofer Bouchard, Scott Klasky, others, "Usage Pattern-Driven Dynamic Data Layout Reorganization", Cluster, Cloud and Grid Computing (CCGrid), 2016 16th IEEE/ACM International Symposium on, January 1, 2016, 356--365,

Wenzhao Zhang, Houjun Tang, Steve Harenberg, Surendra Byna, Xiaocheng Zou, Dharshi Devendran, Daniel F Martin, Kesheng Wu, Bin Dong, Scott Klasky, others, "AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications", Cluster, Cloud and Grid Computing (CCGrid), 2016 16th IEEE/ACM International Symposium on, January 1, 2016, 116--125,

Xiaocheng Zou, David Boyuka, Dhara Desai, Martin, Suren Byna, Kesheng Wu, Kushal, Bin Dong, Wenzhao Zhang, Houjun Tang Dharshi Devendran, David Trebotich, Scott, Hans Johansen, Nagiza Samatova, "AMR-aware In Situ Indexing and Scalable Querying", The 24th High Performance Computing Symposium (HPC, January 1, 2016,

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng, "Similarity Join over Array Data", SIGMOD 16, New York, NY, USA, ACM, January 1, 2016, 2007--2022, doi: 10.1145/2882903.2915247

David Donofrio

2018

Anastasiia Butko, Albert Chen, David Donofrio, Farzad Fatollahi-Fard, John Shalf, "Open2C: Open-source Generator for Exploration of Coherent Cache Memory Subsystems", MEMSYS '18, New York, NY, USA, ACM, 2018, 311--317, doi: 10.1145/3240302.3270314

K. E. Bouchard, J.B. Aimone, M. Chun, T. Dean, M. Denker, M. Diesmann, D. Donofrio, L.M. Frank, N. Kasthuri, C. Koch, O. Rübel, H. Simon, F. T. Sommer, Prabhat, "International Neuroscience Initiatives Through the Lens of High-Performance Computing", IEEE Computer, April 12, 2018, 51(4):50-59, doi: doi 10.1109/MC.2018.2141039

2017

Dilip Vasudevan, Anastasiia Butko, George Michelogiannakis, David Donofrio, John Shalf, "Towards an Integrated Strategy to Preserve Digital Computing Performance Scaling Using Emerging Technologies", Workshop on HPC computing in a Post Moore’s law world (HCPM), June 22, 2017,

With the decline and eventual end of historical rates of lithographic scaling, we arrive at a crossroad where synergistic and holistic decisions are required to preserve Moore's law technology scaling. Numerous emerging technologies aim to extend digital electronics scaling of performance, energy efficiency, and computational power/density,
ranging from devices (transistors), memories, 3D integration capabilities, specialized architectures, photonics, and others.
The wide range of technology options creates the need for an integrated strategy to understand the impact of these emerging technologies on future large-scale digital systems for diverse application requirements and optimization metrics.
In this paper, we argue for a comprehensive methodology that spans the different levels of abstraction -- from materials, to devices, to complex digital systems and applications. Our approach integrates compact models of low-level characteristics of the emerging technologies to inform higher-level simulation models to evaluate their responsiveness to application requirements.
The integrated framework can then automate the search for an optimal architecture using available emerging technologies to maximize a targeted optimization metric.

2016

George Michelogiannakis, David Donofrio, John Shalf, Modeling of Novel Transistors, Manufacturing Technologies, and Architectures to Preserve Digital Computing Performance Scaling, Post-Moore's Era Supercomputing (PMES) Workshop, November 2016,

George Michelogiannakis, Dave Donofrio, John Shalf, "Modeling of Novel Transistors, Manufacturing Technologies, and Architectures to Preserve Digital Computing Performance Scaling", 1ST INTERNATIONAL WORKSHOP ON POST-MOORE’S ERA SUPERCOMPUTING (PMES), November 2016,

K. E. Bouchard, J, B. Aimone, M. Chun, T. Dean, M. Denker, M. Diesmann, D. D. Donofrio, L. M. Frank, N. Kasthuri, C. Koch, O. Rübel, H. D. Simon, F. T. Sommer, Prabhat, "High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination", Neuron, November 2, 2016, 92(3):628-631, doi: http://dx.doi.org/10.1016/j.neuron. 2016.10.035

George Michelogiannakis, John Shalf, David Donofrio, John Bachan,, "Continuing the Scaling of Digital Computing Post Moore’s Law", LBNL report, April 2016, LBNL 1005126,

The approaching end of traditional CMOS technology scaling that up until now followed Moore's law is coming to an end in the next decade. However, the DOE has come to depend on the rapid, predictable, and cheap scaling of computing performance to meet mission needs for scientific theory, large scale experiments, and national security. Moving forward, performance scaling of digital computing will need to originate from energy and cost reductions that are a result of novel architectures, devices, manufacturing technologies, and programming models. The deeper issue presented by these changes is the threat to DOE’s mission and to the future economic growth of the U.S. computing industry and to society as a whole. With the impending end of Moore’s law, it is imperative for the Office of Advanced Scientific Computing Research (ASCR) to develop a balanced research agenda to assess the viability of novel semiconductor technologies and navigate the ensuing challenges. This report identifies four areas and research directions for ASCR and how each can be used to preserve performance scaling of digital computing beyond exascale and after Moore's law ends.

Farzad Fatollahi-Fard, David Donofrio, George Michelogiannakis, John Shalf, "OpenSoC Fabric: On-Chip Network Generator", ISPASS 2016: International Symposium on Performance Analysis of Systems and Software, IEEE, April 2016, 194-203, doi: 10.1109/ISPASS.2016.7482094

Alex Druinsky

2016

Osni Marques, Alex Druinsky, Xiaoye S. Li, Andrew T. Barker, Panayot Vassilevski, Delyan Kalchev, "Tuning the Coarse Space Construction in a Spectral AMG Solver", ICCS 2016 (The International Conference on Computational Science), San Diego, CA, Elsevier, June 2016,

Anshu Dubey

2016

Anshu Dubey, Hajime Fujita, Daniel T. Graves, Andrew Chien Devesh Tiwari, "Granularity and the Cost of Error Recovery in Resilient AMR Scientific Applications", SuperComputing 2016, August 10, 2016,

Saliya Ekanayake

2018

Saliya Ekanayake, "MIDAS", April 1, 2018,

Muammar El Khatib

2018

Alireza Khorshidi, Muammar El Khatib, Andrew A Peterson, Amp: The Atomistic Machine-learning Package v0.6.1, August 1, 2018,

Muammar El Khatib, Andrew A Peterson, "Local Chemical Environments In Machine Learning", Gordon Research Conference: Towards Next-Generation Challenges in Computational Chemistry: From Quan- tum Chemistry and Molecular Simulation to Data Discovery and Quantum Computing., July 21, 2018,

2017

Muammar El Khatib, Alireza Khorshidi, Andrew A Peterson, Acceleration of Saddle-Point Searches Assisted by Machine Learning, 68 th Annual Meeting of the International Society of Electro-chemistry, August 31, 2017,

Alireza Khorshidi, Muammar El Khatib, Andrew A Peterson*, Amp: The Atomistic Machine-learning Package v0.6, https://bitbucket.org/andrewpeterson/amp, July 31, 2017,

Alireza Khorshidi, Zachary Ulissi, Muammar El Khatib, Andrew A Peterson, Amp: The Atomistic Machine-learning Package v0.5, https://bitbucket.org/andrewpeterson/amp, February 24, 2017,

2016

Oriana Brea, Muammar El Khatib, Celestino Angeli, Gian Luigi Bendazzoli, Stefano Evangelisti, Thierry Leininger, "The Spin-Partitioned Total-Position Spread: an application to diatomic molecules", J. Phys. Chem. A, 120, 5230 (2016), March 25, 2016,

Abdelrahman Elbashandy

2017

S Peisert, R Gentz, J Boverhof, C McParland, S Engle, A Elbashandy, D Gunter, "LBNL Open Power Data", January 2017, doi: 10.21990/C21599

YW Cheah, J Boverhof, A Elbashandy, D Agarwal, J Leek, T Epperly, J Eslick, D Miller, "Data management and simulation support accelerating carbon capture through computing", Proceedings of the 2016 IEEE 12th International Conference on e-Science, e-Science 2016, 2017, 389--398, doi: 10.1109/eScience.2016.7870924

Gilberto Z. Pastorello, Dan K. Gunter, Housen Chu, Danielle S. Christianson, Carlo Trotta, Eleonora Canfora, Boris Faybishenko, You-Wei Cheah, Norm Beekwilder, Stephen W. Chan, Sigrid Dengel, Trevor Keenan, Fianna O Brien, Abderahman Elbashandy, Cristina M. Poindexter, Marty Humphrey, Dario Papale, Deb A. Agarwal, "Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures", Proceedings of the 13th IEEE International Conference on e-Science (e-Science 2017), Auckland, New Zealand, 2017, doi: 10.1109/eScience.2017.64

Hamdy Elgammal

2017

GH Weber, MS Bandstra, DH Chivers, HH Elgammal, V Hendrix, J Kua, JS Maltz, K Muriki, Y Ong, K Song, MJ Quinlan, L Ramakrishnan, BJ Quiter, "Web-based visual data exploration for improved radiological source detection", Concurrency Computation, 2017, 29, doi: 10.1002/cpe.4203

Marquita Ellis

2018

Giulia Guidi, Marquita Ellis, Daniel Rokhsar, Katherine Yelick, Aydın Buluç, "BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper (Preprint)", Submitted, 2018, doi: https://doi.org/10.1101/464420

2017

M Ellis, E Georganas, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "Performance characterization of de novo genome assembly on leading parallel systems", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10417 LN:79--91, doi: 10.1007/978-3-319-64203-1_6

E Georganas, M Ellis, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "MerBench: PGAS benchmarks for high performance genome assembly", Proceedings of PAW 2017: 2nd Annual PGAS Applications Workshop - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, 2017-Jan:1--4, doi: 10.1145/3144779.3169109

Sophie Engle

2017

S Peisert, R Gentz, J Boverhof, C McParland, S Engle, A Elbashandy, D Gunter, "LBNL Open Power Data", January 2017, doi: 10.21990/C21599

Farzad Fatollahi-Fard

2018

Anastasiia Butko, Albert Chen, David Donofrio, Farzad Fatollahi-Fard, John Shalf, "Open2C: Open-source Generator for Exploration of Coherent Cache Memory Subsystems", MEMSYS '18, New York, NY, USA, ACM, 2018, 311--317, doi: 10.1145/3240302.3270314

2016

Farzad Fatollahi-Fard, David Donofrio, George Michelogiannakis, John Shalf, "OpenSoC Fabric: On-Chip Network Generator", ISPASS 2016: International Symposium on Performance Analysis of Systems and Software, IEEE, April 2016, 194-203, doi: 10.1109/ISPASS.2016.7482094

Reinhard Gentz

2017

S Peisert, R Gentz, J Boverhof, C McParland, S Engle, A Elbashandy, D Gunter, "LBNL Open Power Data", January 2017, doi: 10.21990/C21599

L. Ferrari, A. Scaglione, R. Gentz, Y. W. P. Hong, "Convergence Results on Pulse Coupled Oscillator Protocols in Locally Connected Networks", IEEE/ACM Transactions on Networking, 2017, 25:1004-1019, doi: 10.1109/TNET.2016.2611379

2016

R. Gentz, A. Scaglione, L. Ferrari, Y. W. P. Hong, "PulseSS: A Pulse-Coupled Synchronization and Scheduling Protocol for Clustered Wireless Sensor Networks", IEEE Internet of Things Journal, 2016, 3:1222-1234, doi: 10.1109/JIOT.2016.2576923

R. Gentz, S. X. Wu, H. T. Wai, A. Scaglione, A. Leshem, "Data Injection Attacks in Randomized Gossiping", IEEE Transactions on Signal and Information Processing over Networks, 2016, 2:523-538, doi: 10.1109/TSIPN.2016.2614898

Evangelos Georganas

2017

M Ellis, E Georganas, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "Performance characterization of de novo genome assembly on leading parallel systems", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10417 LN:79--91, doi: 10.1007/978-3-319-64203-1_6

E Georganas, M Ellis, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "MerBench: PGAS benchmarks for high performance genome assembly", Proceedings of PAW 2017: 2nd Annual PGAS Applications Workshop - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, 2017-Jan:1--4, doi: 10.1145/3144779.3169109

Devarshi Ghoshal

2018

Cheah You-Wei, Drew Paine, Devarshi Ghoshal, Lavanya Ramakrishnan, Bringing Data Science to Qualitative Analysis, 2018 IEEE 14th International Conference on e-Science, Pages: 325-326 2018, doi: 10.1109/eScience.2018.00076

Devarshi Ghoshal, "Deduce: Managing Data Change Pipelines", Conference on Data Analysis (CoDA 2018), 2018,

S Swaid, M Maat, H Krishnan, D Ghoshal, L Ramakrishnan, "Usability heuristic evaluation of scientific data analysis and visualization tools", Advances in Intelligent Systems and Computing, 2018, 607:471--482, doi: 10.1007/978-3-319-60492-3_45

D Ghoshal, L Ramakrishnan, D Agarwal, "Dac-Man: Data Change Management for Scientific Datasets on HPC Systems", SC ’18, Piscataway, NJ, USA, IEEE Press, 2018, 72:1--72:1,

2017

Devarshi Ghoshal, Lavanya Ramakrishnan, "MaDaTS: Managing Data on Tiered Storage for Scientific Workflows", Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing (HPDC '17), ACM, 2017, 41--52, doi: 10.1145/3078597.3078611

D Ghoshal, V Hendrix, W Fox, S Balasubhramanian, L Ramakrishnan, "FRIEDA: Flexible Robust Intelligent Elastic Data Management Framework", The Journal of Open Source Software, 2017, 2:164--164, doi: 10.21105/joss.00164

W Fox, D Ghoshal, A Souza, GP Rodrigo, L Ramakrishnan, "E-HPC: A library for elastic resource management in HPC environments", Proceedings of WORKS 2017: 12th Workshop on Workflows in Support of Large-Scale Science - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, doi: 10.1145/3150994.3150996

D Ghoshal, L Ramakrishnan, "MaDaTS: Managing data on tiered storage for scientific workflows", HPDC 2017 - Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017, 41--52, doi: 10.1145/3078597.3078611

2016

V Hendrix, J Fox, D Ghoshal, L Ramakrishnan, "Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems", Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016, 2016, 146--155, doi: 10.1109/CCGrid.2016.54

CS Daley, D Ghoshal, GK Lockwood, S Dosanjh, L Ramakrishnan, NJ Wright, "Performance characterization of scientific workflows for the optimal use of Burst Buffers", CEUR Workshop Proceedings, 2016, 1800:69--73,

Pieter Ghysels

2019

Y. Liu, W. Sid-Lakhdar, E. Rebrova, P. Ghysels, X. Sherry Li, "A Hierarchical Low-Rank Decomposition Algorithm Based on Blocked Adaptive Cross Approximation Algorithms", arXiv e-prints, January 1, 2019,

2018

E. Rebrova, G. Chavez, Y. Liu, P. Ghysels, X. S. Li, "A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression", IEEE IPDPSW, 2018,

Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S Li, "Highly scalable distributed-memory sparse triangular solution algorithms", 2018 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2018, 87--96,

2016

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov, "An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling", SIAM J. Sci. Comput. 38-5, pp. S358-S384, October 2016, doi: 10.1137/15M1010117

Anna Giannakou

2018

Anna Giannakou, Daniel Gunter, Sean Peisert, "Flowzilla: A Methodology for Detecting Data Transfer Anomalies in Research Networks", Workshop on Innovating the Network for Data-Intensive Science (INDIS), November 11, 2018,

John Gilbert

2016

Veronika Strnadova-Neeley, Aydin Buluc, John R. Gilbert, Leonid Oliker, Weimin Ouyang, "LiRa: A New Likelihood-Based Similarity Score for Collaborative Filtering", August 30, 2016,

Dan Graves

2017

B. Van Straalen, D. Trebotich, A. Ovsyannikov and D.T. Graves, "Scalable Structured Adaptive Mesh Refinement with Complex Geometry", Exascale Scientific Applications: Programming Approaches for Scalability, Performance, and Portability, edited by Straatsma, T., Antypas, K., Williams, T., (Chapman and Hall/CRC: November 9, 2017)

Dharshi Devendran, Daniel T. Graves, Hans Johansen,Terry Ligocki, "A Fourth Order Cartesian Grid Embedded Boundary Method for Poisson's Equation", Communications in Applied Mathematics and Computational Science, edited by Silvio Levy, May 12, 2017, 12:51-79, doi: DOI 10.2140/camcos.2017.12.51

2016

Anshu Dubey, Hajime Fujita, Daniel T. Graves, Andrew Chien Devesh Tiwari, "Granularity and the Cost of Error Recovery in Resilient AMR Scientific Applications", SuperComputing 2016, August 10, 2016,

Junmin Gu

2018

Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu, "Querying Large Scientific Data Sets with Adaptable IO System ADIOS", Supercomputing Frontiers (Best Paper Award), Springer International Publishing, 2018, 51-69,

2017

U Ayachit, A Bauer, EPN Duque, G Eisenhauer, N Ferrier, J Gu, KE Jansen, B Loring, Z Lukic, S Menon, D Morozov, P O Leary, R Ranjan, M Rasquin, CP Stone, V Vishwanath, GH Weber, B Whitlock, M Wolf, KJ Wu, EW Bethel, "Performance Analysis, Design Considerations, and Applications of Extreme-Scale in Situ Infrastructures", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 2017, 921--932, LBNL 1007264, doi: 10.1109/SC.2016.78

2016

D. Pugmire, J. Kress, H. Childs, M. Wolf, G. Eisenhauer, J. Low, R. M. Churchill, T. Kurc, K. Wu, A. Sim, J. Gu, J. Choi, S. Klasky, "Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows", High Performance Data Analysis and Visualization Workshop (HPDAV2016) in conjunction with the 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2016), 2016, doi: 10.1109/IPDPSW.2016.175

Burlen Loring, Suren Byna, Prabhat, Junmin Gu, Hari Krishnan, Michael Wehner, and Oliver Ruebel, "TECA an Extreme Event Detection and Climate Analysis Package for High Performance Computing", The AMS (American Meteorological Society) 96th Annual Meeting, January 6, 2016,

Ming Gu

2018

J. Deusch, M. Shao, C. Yang, M. Gu, "A Robust and Efficient Implementation of LOBPCG", SIAM J. Sc. Comput., October 4, 2018, 40:C655–C676, doi: 10.1137/17M1129830

Giulia Guidi

2018

Giulia Guidi, Marquita Ellis, Daniel Rokhsar, Katherine Yelick, Aydın Buluç, "BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper (Preprint)", Submitted, 2018, doi: https://doi.org/10.1101/464420

2017

Lorenzo Di Tucci, Giulia Guidi, Sara Notargiacomo, Luca Cerina, Alberto Scolari, Marco D. Santambrogio, "HUGenomics: A Support to Personalized Medicine Research", 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI), October 12, 2017,

2016

Giulia Guidi, Lorenzo Di Tucci, Marco D. Santambrogio, "ProFAX: a Hardware Acceleration of a Protein Folding Algorithm", 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), November 14, 2016,

Giulia Guidi, Enrico Reggiani, Lorenzo Di Tucci, Gianluca Durelli, Michaela Blott, Marco D. Santambrogio, "On How to Improve FPGA-Based Systems Design Productivity via SDAccel", 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), August 4, 2016,

Daniel Gunter

2018

Anna Giannakou, Daniel Gunter, Sean Peisert, "Flowzilla: A Methodology for Detecting Data Transfer Anomalies in Research Networks", Workshop on Innovating the Network for Data-Intensive Science (INDIS), November 11, 2018,

AP Arkin,RW Cottingham,CS Henry,NL Harris,RL Stevens,S Maslov,P Dehal,D Ware,F Perez,S Canon,MW Sneddon,ML Henderson,WJ Riehl,D Murphy-Olson,SY Chan,RT Kamimura,S Kumari,MM Drake,TS Brettin,EM Glass,D Chivian,D Gunter,DJ Weston,BH Allen,J Baumohl,AA Best,B Bowen,SE Brenner,CC Bun,JM Chandonia,JM Chia,R Colasanti,N Conrad,JJ Davis,BH Davison,M Dejongh,S Devoid,E Dietrich,I Dubchak,JN Edirisinghe,G Fang,JP Faria,PM Frybarger,W Gerlach,M Gerstein,A Greiner,J Gurtowski,HL Haun,F He,R Jain,MP Joachimiak,KP Keegan,S Kondo,V Kumar,ML Land,F Meyer,M Mills,PS Novichkov,T Oh,GJ Olsen,R Olson,B Parrello,S Pasternak,E Pearson,SS Poon,GA Price,S Ramakrishnan,P Ranjan,PC Ronald,MC Schatz,SMD Seaver,M Shukla,RA Sutormin,MH Syed,J Thomason,NL Tintle,D Wang,F Xia,H Yoo,S Yoo,D Yu, "KBase: The United States department of energy systems biology knowledgebase", Nature Biotechnology, July 2018, 36:566--569, doi: 10.1038/nbt.4163

DC Miller, JD Siirola, D Agarwal, AP Burgard, A Lee, JC Eslick, B Nicholson, C Laird, LT Biegler, D Bhattacharyya, NV Sahinidis, IE Grossmann, CE Gounaris, D Gunter, "Next Generation Multi-Scale Process Systems Engineering Framework", Computer Aided Chemical Engineering, 2018, 44:2209--2214, doi: 10.1016/B978-0-444-64241-7.50363-3

2017

S Peisert, R Gentz, J Boverhof, C McParland, S Engle, A Elbashandy, D Gunter, "LBNL Open Power Data", January 2017, doi: 10.21990/C21599

DA Agarwal, C Varadharajan, S Cholia, C Snavely, VC Hendrix, D Gunter, WJ Riley, M jones, AE budden, D Vieglas, Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE)-A New US DOE Data Archive, 2017,

L Ramakrishnan, D Gunter, "Ten principles for creating usable software for science", Proceedings - 13th IEEE International Conference on eScience, eScience 2017, 2017, 210--218, doi: 10.1109/eScience.2017.34

Gilberto Z. Pastorello, Dan K. Gunter, Housen Chu, Danielle S. Christianson, Carlo Trotta, Eleonora Canfora, Boris Faybishenko, You-Wei Cheah, Norm Beekwilder, Stephen W. Chan, Sigrid Dengel, Trevor Keenan, Fianna O Brien, Abderahman Elbashandy, Cristina M. Poindexter, Marty Humphrey, Dario Papale, Deb A. Agarwal, "Hunting Data Rogues at Scale: Data Quality Control for Observational Data in Research Infrastructures", Proceedings of the 13th IEEE International Conference on e-Science (e-Science 2017), Auckland, New Zealand, 2017, doi: 10.1109/eScience.2017.64

2016

Patrick Huck, Dan Gunter, Shreyas Cholia, Donald Winston, AT N Diaye, Kristin Persson, "User applications driven by the community contribution framework MPContribs in the Materials Project", Concurrency and Computation: Practice and Experience, 2016, 28:1982--1993,

Francois Hamon

2019

Francois P. Hamon, Martin Schreiber, Michael L. Minion, "Parallel-in-Time Multi-Level Integration of the Shallow-Water Equations on the Rotating Sphere", April 12, 2019,

Submitted to Journal of Computational Physics

Francois P. Hamon, Martin Schreiber, Michael L. Minion, "Multi-Level Spectral Deferred Corrections Scheme for the Shallow Water Equations on the Rotating Sphere", Journal of Computational Physics, January 1, 2019, 376:435-454,

2018

FP Hamon, MS Day, ML Minion, "Concurrent implicit spectral deferred correction scheme for low-Mach number combustion with detailed chemistry", Combustion Theory and Modelling, 2018, doi: 10.1080/13647830.2018.1524156

D. J. Gardner, J. E. Guerra, F. P. Hamon, D. R. Reynolds, P. A. Ullrich, C. S. Woodward, "Implicit-Explicit Runge-Kutta Methods for Non-Hydrostatic Atmospheric Models", Geosci. Model Dev., 11(4), pp 1497-1515, 2018,

F. P. Hamon, B. T. Mallison, H. A. Tchelepi, "Implicit Hybrid Upwinding for Two-Phase Flow in Heterogeneous Porous Media with Buoyancy and Capillarity", omput. Methods in Appl. Mech. Eng., 331, pp 701-727, 2018,

Maciej Haranczyk

2018

D. Broberg, B. Medasani, N.E.R. Zimmermann, G. Yu, A. Canning, M. Haranczyk, M. Asta, G. Hautier, "PyCDT: A Python toolkit for modeling point defects in semiconductors and insulators", Computer Physics Communications, 2018, 226:165-179, doi: 10.1016/j.cpc.2018.01.004

2017

C.D. Pemmaraju, R. Copping, D.E. Smiles, D.K. Shuh, N. Grønbech-Jensen, D. Prendergast, A. Canning, "Coordination Characteristics of Uranyl BBP Complexes: Insights from an Electronic Structure Analysis", ACS Omega, 2017, 2:1055-1062, doi: 10.1021/acsomega.6b00459

2016

B. Medasani, A. Gamst, H. Ding, W. Chen, K.A. Persson, M. Asta, A. Canning, M. Haranczyk, "Predicting defect behavior in B2 intermetallics by merging ab initio modeling and machine learning", npj Computational Materials, 2016, 2, doi: 10.1038/s41524-016-0001-z

Paul H. Hargrove

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2019.3.0", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001191, doi: 10.25344/S4F301

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 10", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001192, doi: 10.25344/S4JS30

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

Scott B. Baden, Paul H. Hargrove, Dan Bonachea, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - GASNet-EX", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

2018

Paul H. Hargrove, Dan Bonachea, "GASNet-EX Performance Improvements Due to Specialization for the Cray Aries Network", Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), Dallas, Texas, USA, IEEE, November 16, 2018, 23-33, doi: 10.1109/PAW-ATM.2018.00008

GASNet-EX is a portable, open-source, high-performance communication library designed to efficiently support the networking requirements of PGAS runtime systems and other alternative models on future exascale machines. This paper reports on the improvements in performance observed on Cray XC-series systems due to enhancements made to the GASNet-EX software. These enhancements, known as "specializations", primarily consist of replacing network-independent implementations of several recently added features with implementations tailored to the Cray Aries network. Performance gains from specialization include (1) Negotiated-Payload Active Messages improve bandwidth of a ping-pong test by up to 14%, (2) Immediate Operations reduce running time of a synthetic benchmark by up to 93%, (3) non-bulk RMA Put bandwidth is increased by up to 32%, (4) Remote Atomic performance is 70% faster than the reference on a point-to-point test and allows a hot-spot test to scale robustly, and (5) non-contiguous RMA interfaces see up to 8.6x speedups for an intra-node benchmark and 26% for inter-node. These improvements are all available in GASNet-EX version 2018.3.0 and later.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

Dan Bonachea, Paul H. Hargrove, "GASNet-EX: A High-Performance, Portable Communication Library for Exascale", Languages and Compilers for Parallel Computing (LCPC'18), Salt Lake City, Utah, USA, October 11, 2018, LBNL 2001174, doi: 10.25344/S4QP4W

Partitioned Global Address Space (PGAS) models, typified by such languages as Unified Parallel C (UPC) and Co-Array Fortran, expose one-sided communication as a key building block for High Performance Computing (HPC) applications. Architectural trends in supercomputing make such programming models increasingly attractive, and newer, more sophisticated models such as UPC++, Legion and Chapel that rely upon similar communication paradigms are gaining popularity.

GASNet-EX is a portable, open-source, high-performance communication library designed to efficiently support the networking requirements of PGAS runtime systems and other alternative models in future exascale machines. The library is an evolution of the popular GASNet communication system, building upon over 15 years of lessons learned. We describe and evaluate several features and enhancements that have been introduced to address the needs of modern client systems. Microbenchmark results demonstrate the RMA performance of GASNet-EX is competitive with several MPI-3 implementations on current HPC systems.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2018.9.0", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001180, doi: 10.25344/S49G6V

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 8", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001179, doi: 10.25344/S45P4X

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

Dan Bonachea, Paul Hargrove, "GASNet-EX Performance Improvements Due to Specialization for the Cray Aries Network", Lawrence Berkeley National Laboratory Tech Report, March 27, 2018, LBNL 2001134, doi: 10.2172/1430690

This document is a deliverable for milestone STPM17-6 of the Exascale Computing Project, delivered by WBS 2.3.1.14. It reports on the improvements in performance observed on Cray XC-series systems due to enhancements made to the GASNet-EX software. These enhancements, known as “specializations”, primarily consist of replacing network-independent implementations of several recently added features with implementations tailored to the Cray Aries network. Performance gains from specialization include (1) Negotiated-Payload Active Messages improve bandwidth of a ping-pong test by up to 14%, (2) Immediate Operations reduce running time of a synthetic benchmark by up to 93%, (3) non-bulk RMA Put bandwidth is increased by up to 32%, (4) Remote Atomic performance is 70% faster than the reference on a point-to-point test and allows a hot-spot test to scale robustly, and (5) non-contiguous RMA interfaces see up to 8.6x speedups for an intra-node benchmark and 26% for inter-node. These improvements are available in the GASNet-EX 2018.3.0 release.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott Baden, Dan Bonachea, Paul Hargrove, "GASNet-EX: PGAS Support for Exascale Apps and Runtimes", ECP Annual Meeting 2018, February 2018,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

2017

Erik Paulson, Dan Bonachea, Paul Hargrove, GASNet ofi-conduit, Presentation at the Open Fabrics Interface BoF at Supercomputing 2017, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Dan Bonachea, Paul Hargrove, "GASNet Specification, v1.8.1", Lawrence Berkeley National Laboratory Tech Report, August 31, 2017, LBNL 2001064, doi: 10.2172/1398512

GASNet is a language-independent, low-level networking layer that provides network-independent, high-performance communication primitives tailored for implementing parallel global address space SPMD languages and libraries such as UPC, UPC++, Co-Array Fortran, Legion, Chapel, and many others. The interface is primarily intended as a compilation target and for use by runtime library writers (as opposed to end users), and the primary goals are high performance, interface portability, and expressiveness. GASNet stands for "Global-Address Space Networking".

John Bachan, Dan Bonachea, Paul H Hargrove, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, Scott B Baden, "The UPC++ PGAS library for Exascale Computing", Proceedings of the Second Annual PGAS Applications Workshop, January 1, 2017, 7,

We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, and futures. Global pointers incorporate ownership information useful in optimizing for locality. Futures capture data readiness state, are useful for scheduling and also enable the programmer to chain operations to execute asynchronously as high-latency dependencies become satisfied, via continuations. The interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and closely resemble those used in modern C++. Communication in UPC++ runs at close to hardware speeds by utilizing the low-overhead GASNet-EX communication library.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2017., January 2017,

2016

D. Ozog, A. Kamil, Y. Zheng, P. Hargrove, J. Hammond, A. Malony, W.A. de Jong, K. Yelick, "A Hartree-Fock Application using UPC++ and the New DArray Library", 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 23, 2016, doi: 10.1109/IPDPS.2016.108

 

Matthew Henderson

2018

Wahid Bhimji, Steven Farrell, Oliver Evans, Matthew Henderson, Shreyas Cholia, Aaron Vose, Mr Prabhat, Rollin Thomas, Richard Shane Canon, "Interactive HPC Deep Learning with Jupyter Notebooks", Supercomputing 2018, Dallas, TX, November 2018,

Shreyas Cholia, Matthew Henderson, Oliver Evans, Fernando Perez, "Kale: A System for Enabling Human-in-the-loop Interactivity in HPC Workflows", Science Gateways 2018, figshare, September 26, 2018, doi: 10.6084/m9.figshare.7067075.v3

AP Arkin,RW Cottingham,CS Henry,NL Harris,RL Stevens,S Maslov,P Dehal,D Ware,F Perez,S Canon,MW Sneddon,ML Henderson,WJ Riehl,D Murphy-Olson,SY Chan,RT Kamimura,S Kumari,MM Drake,TS Brettin,EM Glass,D Chivian,D Gunter,DJ Weston,BH Allen,J Baumohl,AA Best,B Bowen,SE Brenner,CC Bun,JM Chandonia,JM Chia,R Colasanti,N Conrad,JJ Davis,BH Davison,M Dejongh,S Devoid,E Dietrich,I Dubchak,JN Edirisinghe,G Fang,JP Faria,PM Frybarger,W Gerlach,M Gerstein,A Greiner,J Gurtowski,HL Haun,F He,R Jain,MP Joachimiak,KP Keegan,S Kondo,V Kumar,ML Land,F Meyer,M Mills,PS Novichkov,T Oh,GJ Olsen,R Olson,B Parrello,S Pasternak,E Pearson,SS Poon,GA Price,S Ramakrishnan,P Ranjan,PC Ronald,MC Schatz,SMD Seaver,M Shukla,RA Sutormin,MH Syed,J Thomason,NL Tintle,D Wang,F Xia,H Yoo,S Yoo,D Yu, "KBase: The United States department of energy systems biology knowledgebase", Nature Biotechnology, July 2018, 36:566--569, doi: 10.1038/nbt.4163

S. Farrell, A. Vose, O. Evans, M. Henderson, S. Cholia, W. Bhimji, R. Thomas, S.
Canon, and Prabhat,,
"Interactive Distributed Deep Learning with Jupyter Notebooks", ISC Workshop on Interactive High-Performance Computing, June 28, 2018,

GP Rodrigo, M Henderson, GH Weber, C Ophus, K Antypas, L Ramakrishnan, "ScienceSearch: Enabling Search through Automatic Metadata Generation", 2018 IEEE 14th International Conference on e-Science (e-Science), IEEE, 2018, doi: 10.1109/escience.2018.00025

2017

Shreyas Cholia, Matthew Henderson, Oliver Evans, Demo: Extending Jupyter to Support Interactive High Performance Computing, Science Gateways 2017, October 2017, doi: 10.6084/m9.figshare.5501137.v1

Valerie Hendrix

2019

C. Varadharajan, S. Cholia, C. Snavely, V. Hendrix, C. Procopiou, D. Swantek, W. J. Riley, and D. A. Agarwal, "Launching an accessible archive of environmental data", Eos, 100, January 8, 2019, doi: https://doi.org/10.1029/2019EO111263

2018

EM Stewart, P Top, M Chertkov, D Deka, S Backhaus, A Lokhov, C Roberts, V Hendrix, S Peisert, A Florita, TJ King, MJ Reno, "Integrated multi-scale data analytics and machine learning for the distribution grid", 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017, 2018, 2018-Jan:423--429, doi: 10.1109/SmartGridComm.2017.8340693

2017

GH Weber, MS Bandstra, DH Chivers, HH Elgammal, V Hendrix, J Kua, JS Maltz, K Muriki, Y Ong, K Song, MJ Quinlan, L Ramakrishnan, BJ Quiter, "Web-based visual data exploration for improved radiological source detection", Concurrency Computation, 2017, 29, doi: 10.1002/cpe.4203

DA Agarwal, C Varadharajan, S Cholia, C Snavely, VC Hendrix, D Gunter, WJ Riley, M jones, AE budden, D Vieglas, Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE)-A New US DOE Data Archive, 2017,

Danielle S. Christianson, Charuleka Varadharajan, Bradley Christoffersen, Matteo Detto, Faybishenko, Bruno O. Gimenez, Val C. Hendrix, Kolby J. Jardine, Robinson Negron-Juarez, Z. Pastorello, Thomas L. Powell, Megha Sandesh, Jeffrey M. Warren, Brett T. Wolfe, Jeffrey Q. Chambers, Lara M. Kueppers, Nathan G. McDowell, Deborah A. Agarwal, "A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations", Ecological Informatics, 2017, 42:148-158, doi: 10.1016/j.ecoinf.2017.06.002

E Stewart, V Hendrix, M Chertkov, D Deka, "Integrated Multi-Scale Data Analytics and Machine Learning for the Distribution Grid and Building-to-Grid Interface", 2017,

D Ghoshal, V Hendrix, W Fox, S Balasubhramanian, L Ramakrishnan, "FRIEDA: Flexible Robust Intelligent Elastic Data Management Framework", The Journal of Open Source Software, 2017, 2:164--164, doi: 10.21105/joss.00164

2016

M Verma, JB Fisher, K Mallick, Y Ryu, H Kobayashi, A Guillaume, G Moore, L Ramakrishnan, V Hendrix, S Wolf, M Sikka, G Kiely, G Wohlfahrt, B Gielen, O Roupsard, P Toscano, A Arain, A Cescatti, "Global surface net-radiation at 5 km from MODIS Terra", Remote Sensing, 2016, 8, doi: 10.3390/rs8090739

V Hendrix, J Fox, D Ghoshal, L Ramakrishnan, "Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems", Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016, 2016, 146--155, doi: 10.1109/CCGrid.2016.54

Steven Hofmeyr

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2019.3.0", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001191, doi: 10.25344/S4F301

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 10", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001192, doi: 10.25344/S4JS30

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

2018

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

E Georganas, R Egan, S Hofmeyr, E Goltsman, B Arnt, A Tritt, A Buluc, L Oliker, K Yelick, "Extreme Scale De Novo Metagenome Assembly", International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), 2018,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2018.9.0", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001180, doi: 10.25344/S49G6V

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 8", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001179, doi: 10.25344/S45P4X

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

M. Ferroni, JA Colmenares, S Hofmeyr, JD Kubiatowicz, MD Santambrogio, "Enabling power-awareness for the Xen Hypervisor", ACM SIGBED Review, March 20, 2018, 1:36-42,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

C Imes, S Hofmeyr, H Hofmann, "Energy-efficient application resource scheduling using machine learning classifiers", ACM International Conference Proceeding Series, 2018, doi: 10.1145/3225058.3225088

J Bachan, S Baden, D Bonachea, M Jacquelin, P Hargrove, S Hofmeyr, A Kamil, "Performance and Implementation of UPC++ - A C++ Library for PGAS Programming", 2018,

L Di Tucci, D Conficconi, A Comodi, S Hofmeyr, D Donofrio, MD Santambrogio, "A parallel, energy efficient hardware architecture for the merAligner on FPGA using chisel HCL", Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018, 2018, 214--217, doi: 10.1109/IPDPSW.2018.00041

2017

E. Georganas, S. Hofmeyr, L. Oliker, R. Egan, D. Rokhsar, A. Buluc, K. Yelick, "Extreme-scale de novo genome assembly", Exascale Scientific Applications: Scalability and Performance Portability, edited by T.P. Straatsma, K. B. Antypas, T. J. Williams, ( November 13, 2017) doi: https://doi.org/10.1201/b21930

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

M Ellis, E Georganas, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "Performance characterization of de novo genome assembly on leading parallel systems", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, 10417 LN:79--91, doi: 10.1007/978-3-319-64203-1_6

John Bachan, Dan Bonachea, Paul H Hargrove, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, Scott B Baden, "The UPC++ PGAS library for Exascale Computing", Proceedings of the Second Annual PGAS Applications Workshop, January 1, 2017, 7,

We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, and futures. Global pointers incorporate ownership information useful in optimizing for locality. Futures capture data readiness state, are useful for scheduling and also enable the programmer to chain operations to execute asynchronously as high-latency dependencies become satisfied, via continuations. The interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and closely resemble those used in modern C++. Communication in UPC++ runs at close to hardware speeds by utilizing the low-overhead GASNet-EX communication library.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2017., January 2017,

E Georganas, M Ellis, R Egan, S Hofmeyr, A Buluç, B Cook, L Oliker, K Yelick, "MerBench: PGAS benchmarks for high performance genome assembly", Proceedings of PAW 2017: 2nd Annual PGAS Applications Workshop - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, 2017-Jan:1--4, doi: 10.1145/3144779.3169109

M Ferroni, A Corna, A Damiani, R Brondolin, JA Colmenares, S Hofmeyr, JD Kubiatowicz, MD Santambrogio, "Power consumption models for multi-tenant server infrastructures", ACM Transactions on Architecture and Code Optimization, 2017, 14, doi: 10.1145/3148965

2016

B Edwards, S Hofmeyr, S Forrest, "Hype and heavy tails: A closer look at data breaches", Journal of Cybersecurity, 2016, 2:3--14, doi: 10.1093/cybsec/tyw003

S Hofmeyr, C Iancu, J Colmenares, E Roman, B Austin, "Time-Sharing Redux for Large-Scale HPC Systems", Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, 2016, 301--308, doi: 10.1109/HPCC-SmartCity-DSS.2016.0051

M Ferroni, JA Colmenares, S Hofmeyr, JD Kubiatowicz, MD Santambrogio, "Enabling power-awareness for the Xen hypervisor", CEUR Workshop Proceedings, 2016, 1697,

Wei Hu

2018

W. Hu, M. Shao, A. Cepelloti, F. H. Jornada, L. Lin, K. Thicke, C. Yang, S. Louie, "Accelerating Optical Absorption Spectra and Exciton Energy Computation via Interpolative Separable Density Fitting", International Conference on Computational Science (ICCS2018), Lecture Notes in Computer Science, Springer, Cham, June 12, 2018, 10861:604-617, doi: 10.1007/978-3-319-93701-4_48

2017

W. Hu, L. Lin, R. Zhang, C. Yang, J. Yang, "Highly efficient photocatalytic water splitting over edge-modified phosphorene nanoribbons", J. Am. Chem. Soc., October 13, 2017, 139:15429–1543, doi: 10.1021/jacs.7b08474

W. Hu, L. Lin, A. Banerjee, E. Vecharynski, C. Yang, "Adaptively compressed exchange operator for large scale hybrid density functional calculations with applications to the adsorption of water on silicene", J. Chem. Theory Comput., February 8, 2017, 13:1188–1198,

2016

A. S. Banerjee, L. Lin, W. Hu, C. Yang and J. E. Pask, "Chebyshev polynomial filtered subspace iteration in the discontinuous Galerkin method for large-scale electronic structure calculations", Journal of Chemical Physics, October 1, 2016,

Wei Hu,  Lin Lin, Chao Yang, Jun Dai and Jinlong Yang, "Edge-Modi ed Phosphorene Nano ake Heterojunctions as Highly Efficient Solar Cells", Nano Lett, February 5, 2016, 16:1675–1682, doi: 10.1021/acs.nanolett.5b04593

Costin Iancu

2016

Nicholas Chaimov, Khaled Z. Ibrahim, Samuel Williams, Costin Iancu, "Reaching Bandwidth Saturation Using Transparent Injection Parallelization", International Journal of High Performance Computing Applications (IJHPCA), November 2016, doi: 10.1177/1094342016672720

Wim Lavrijsen, Costin Iancu, Wibe Albert de Jong, Xin Chen, Karsten Schwan, "Exploiting Variability for Energy Optimization of Load Balanced Parallel Programs", EuroSys 2016, February 5, 2016,

Nicholas Chaimov, Allen Malony, Shane Canon, Costin Iancu, Khaled Ibrahim, Jay Srinivasan, "Scaling Spark on HPC Systems", High Performance and Distributed Computing (HPDC), February 5, 2016,

Xuehai Qian, Koushik Sen, Paul Hargrove, Costin Iancu, "SReplay: Deterministic Sub-Group Replay for One-Sided Communication", International Conference on Supercomputing (ICS), 2016, February 5, 2016,

Cuong Nguyen, Cindy Rubio-Gonzalez, Benjamin Mehne, Koushik Sen, Costin Iancu, James Demmel, William Kahan, Wim Lavrijsen, David H. Bailey, David Hough, "Floating-point precision tuning using blame analysis", 38th International Conference on Software Engineering (ICSE 2016), January 20, 2016,

Khaled Ibrahim

2018

Khaled Ibrahim, Samuel Williams, Leonid Oliker, "Roofline Scaling Trajectories: A Method for Parallel Application and Architectural Performance Analysis", HPCS Special Session on High Performance Computing Benchmarking and Optimization (HPBench), July 2018,

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

2017

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

George Michelogiannakis, Khaled Z. Ibrahim, John Shalf, Jeremiah J. Wilke, Samuel Knight, Joseph P. Kenny, "APHiD: Hierarchical Task Placement to Enable a Tapered Fat Tree Topology for Lower Power and Cost in HPC Networks", 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, IEEE, May 2017, LBNL 1007126,

Bei Wang, Stephane Ethier, William Tang, Khaled Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, "Modern Gyrokinetic Particle-in-cell Simulation of Fusion Plasmas on Top Supercomputers", International Journal of High-Performance Computing Applications (IJHPCA), May 2017, doi: https://doi.org/10.1177/1094342017712059

Khaled Z. Ibrahim, Evgeny Epifanovsky, Samuel Williams, Anna I. Krylov, "Cross-scale efficient tensor contractions for coupled cluster computations through multiple programming model backends", Journal of Parallel and Distributed Computing (JPDC), February 2017, doi: 10.1016/j.jpdc.2017.02.010

2016

William Tang, Bei Wang, Stephane Ethier, Grzegorz Kwasniewski, Torsten Hoefler, Khaled Z. Ibrahim4, Kamesh Madduri, Samuel Williams, Leonid Oliker, Carlos Rosales-Fernandez, Tim Williams, "Extreme Scale Plasma Turbulence Simulations on Top Supercomputers Worldwide", Supercomputing, November 2016,

Nicholas Chaimov, Khaled Z. Ibrahim, Samuel Williams, Costin Iancu, "Reaching Bandwidth Saturation Using Transparent Injection Parallelization", International Journal of High Performance Computing Applications (IJHPCA), November 2016, doi: 10.1177/1094342016672720

Khaled Z. Ibrahim, Evgeny Epifanovsky, Samuel Williams, Anna I. Krylov, "Cross-scale Efficient Tensor Contractions for Coupled Cluster Computations Through Multiple Programming Model Backends", LBNL. - Report Number: LBNL-1005853, July 1, 2016,

J. R. Jones, F.-H. Rouet, K. V. Lawler, E. Vecharynski, K. Z. Ibrahim, S. Williams, B. Abeln, C. Yang, C. W. McCurdy, D. J. Haxton, X. S. Li, T. N. Rescigno, "An efficient basis set representation for calculating electrons in molecules", Journal of Molecular Physics, 2016, doi: 10.1080/00268976.2016.1176262

The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.

The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.

 

The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.

Nicholas Chaimov, Allen Malony, Shane Canon, Costin Iancu, Khaled Ibrahim, Jay Srinivasan, "Scaling Spark on HPC Systems", High Performance and Distributed Computing (HPDC), February 5, 2016,

Mathias Jacquelin

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2019.3.0", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001191, doi: 10.25344/S4F301

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 10", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001192, doi: 10.25344/S4JS30

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

Victor Yu, William Dawson, Alberto Garcia, Ville Havu, Ben Hourahine, William Huhn, Mathias Jacquelin, Weile Jia, Murat Keceli, Raul Laasner, others, Large-Scale Benchmark of Electronic Structure Solvers with the ELSI Infrastructure, Bulletin of the American Physical Society, 2019,

2018

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2018.9.0", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001180, doi: 10.25344/S49G6V

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 8", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001179, doi: 10.25344/S45P4X

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

Mathias Jacquelin, Lin Lin, Weile Jia, Yonghua Zhao, Chao Yang, "A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems", Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, January 1, 2018, 54--63,

Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S Li, "Highly scalable distributed-memory sparse triangular solution algorithms", 2018 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2018, 87--96,

Victor Wen-zhe Yu, Fabiano Corsetti, Alberto Garcia, William P Huhn, Mathias Jacquelin, Weile Jia, Bjorn Lange, Lin Lin, Jianfeng Lu, Wenhui Mi, others, "ELSI: A unified software interface for Kohn--Sham electronic structure solvers", Computer Physics Communications, 2018, 222:267--285,

William Huhn, Alberto Garcia, Luigi Genovese, Ville Havu, Mathias Jacquelin, Weile Jia, Murat Keceli, Raul Laasner, Yingzhou Li, Lin Lin, others, "Unified Access To Kohn-Sham DFT Solvers for Different Scales and HPC: The ELSI Project", Bulletin of the American Physical Society, American Physical Society, 2018,

Mathias Jacquelin, Lin Lin, Chao Yang, "PSelInv--A distributed memory parallel algorithm for selected inversion: The non-symmetric case", Parallel Computing, 2018, 74:84--98,

Grey Ballard, James Demmel, Laura Grigori, Mathias Jacquelin, Nicholas Knight, "A 3D Parallel Algorithm for QR Decomposition", SPAA '18, 2018,

Mathias Jacquelin, Esmond G Ng, Barry W Peyton, "Fast and effective reordering of columns within supernodes using partition refinement", 2018 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2018, 76--86,

2017

E. J. Bylaska, E. Apra, K. Kowalski, M. Jacquelin, W.A. de Jong, A. Vishnu, B. Palmer, J. Daily, T.P. Straatsma, J.R. Hammond, M. Klemm, "Transitioning NWChem to the Next Generation of Many Core Machines", Exascale Scientific Applications Scalability and Performance Portability, edited by Tjerk P. Straatsma, Katerina B. Antypas, Timothy J. Williams, (Taylor & Francis: November 9, 2017)

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

E.J. Bylaska, J. Hammond, M. Jacquelin, W.A. de Jong, M. Klemm, "Performance Evaluation of NWChem Ab-Initio Molecular Dynamics (AIMD) Simulations on the Intel® Xeon Phi© Processor", High Performance Computing. ISC High Performance 2017. Lecture Notes in Computer Science, Springer, Cham, October 21, 2017, 404-418, doi: 10.1007/978-3-319-67630-2_30

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

V. Yu. F. Corsetti, A. García, W. P. Huhn, M. Jacquelin, W. Jia, B. Lange, L. Lin, J. Lu, W. Mi, A. Seifitokaldan, Á. Vazquez-Mayagoitia, C. Yang, H. Yang, V. Blum, "ELSI: A unified software interface for Kohn–Sham electronic structure solvers", Computer Physics Communications, September 7, 2017, 222:267-285, doi: 10.1016/j.cpc.2017.09.007

Ariful Azad, Mathias Jacquelin, Aydin Bulu\cc, Esmond G Ng, "The reverse Cuthill-McKee algorithm in distributed-memory", Parallel and Distributed Processing Symposium (IPDPS), 2017 IEEE International, January 2017, 22--31,

John Bachan, Dan Bonachea, Paul H Hargrove, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, Scott B Baden, "The UPC++ PGAS library for Exascale Computing", Proceedings of the Second Annual PGAS Applications Workshop, January 1, 2017, 7,

We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, and futures. Global pointers incorporate ownership information useful in optimizing for locality. Futures capture data readiness state, are useful for scheduling and also enable the programmer to chain operations to execute asynchronously as high-latency dependencies become satisfied, via continuations. The interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and closely resemble those used in modern C++. Communication in UPC++ runs at close to hardware speeds by utilizing the low-overhead GASNet-EX communication library.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2017., January 2017,

Mathias Jacquelin, Wibe De Jong, Eric Bylaska, "Towards highly scalable Ab initio molecular dynamics (AIMD) simulations on the Intel knights landing manycore processor", Parallel and Distributed Processing Symposium (IPDPS), 2017 IEEE International, January 1, 2017, 234--243,

Mathias Jacquelin, Lin Lin, Chao Yang, "PSelInv—A distributed memory parallel algorithm for selected inversion: The symmetric case", ACM Transactions on Mathematical Software (TOMS), 2017, 43:21,

2016

M. Jacquelin, L. Lin and C. Yang, "A Distributed Memory Parallel Algorithm for Selected Inversion: the non-symmetric case", PMAA, December 30, 2016,

W.A. de Jong, M. Jacquelin, E.J. Bylaska, "Advancing Algorithms to Increase Performance of Correlated and Dynamical Electronic Structure Simulation", CMMSE 2016: Proceedings of the 16th International Conference on Mathematical Methods in Science and Engineering, September 1, 2016, 5:1342-1346,

Mathias Jacquelin, Scheduling Sparse Symmetric Fan-Both Cholesky Factorization, The 11th Scheduling for Large Scale Systems Workshop, May 18, 2016,

Mathias Jacquelin, Yili Zheng, Esmond Ng, Katherine Yelick, "An Asynchronous Task-based Fan-Both Sparse Cholesky Solver", Submitted to SuperComputing'16, May 10, 2016,

Mathias Jacquelin, Scheduling Sparse Symmetric Fan-Both Cholesky Factorization, SIAM PP'16, April 15, 2016,

M. Jacquelin, L. Lin, W. Jia, Y. Zhao and C. Yang, "A Left-looking selected inversion algorithm and task parallelism on shared memory systems", April 9, 2016,

Mathias Jacquelin, Lin Lin, Nathan Wichmann, Chao Yang, Enhancing scalability and load balancing of Parallel Selected Inversion via tree-based asynchronous communication, Parallel and Distributed Processing Symposium, 2016 IEEE International, Pages: 192--201 January 1, 2016,

Hans Johansen

2018

Tuowen Zhao, Samuel Williams, Mary Hall, Hans Johansen, "Delivering Performance Portable Stencil Computations on CPUs and GPUs Using Bricks", International Workshop on Performance, Portability and Productivity in HPC (P3HPC), November 2018,

Tuowen Zhao, Mary Hall, Protonu Basu, Samuel Williams, Hans Johansen, "SIMD code generation for stencils on brick decompositions", Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), February 2018,

2017

Nishant Nangia, Hans Johansen, Neelesh A. Patankar, Amneet Pal Singh Bhalla, "A moving control volume approach to computing hydrodynamic forces and torques on immersed bodies", Journal of Computational Physics, June 29, 2017, doi: 10.1016/j.jcp.2017.06.047

Bryce Adelstein Lelbach, Hans Johansen, Samuel Williams, "Simultaneously Solving Swarms of Small Sparse Systems on SIMD Silicon", Parallel and Distributed Scientific and Engineering Computing (PDSEC), June 2017,

Dharshi Devendran, Daniel T. Graves, Hans Johansen,Terry Ligocki, "A Fourth Order Cartesian Grid Embedded Boundary Method for Poisson's Equation", Communications in Applied Mathematics and Computational Science, edited by Silvio Levy, May 12, 2017, 12:51-79, doi: DOI 10.2140/camcos.2017.12.51

2016

Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, and Noel Keen, "Data Elevator: Low-contention Data Movement in Hierarchical Storage System", The 23rd annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) (Acceptance rate: 25%), December 19, 2016,

Jared O. Ferguson, Christiane Jablonowski, Hans Johansen, Peter McCorquodale, Phillip Colella, Paul A. Ullrich, "Analyzing the adaptive mesh refinement (AMR) characteristics of a high-order 2D cubed-sphere shallow-water model", Mon. Wea. Rev., November 9, 2016, 144:4641–4666, doi: 10.1175/MWR-D-16-0197.1

Dharshi Devendran, Suren Byna, Bin Dong, Brian van Straalen, Hans Johansen, Noel Keen, and Nagiza Samatova,, "Collective I/O Optimizations for Adaptive Mesh Refinement Data Writes on Lustre File System", Cray User Group (CUG) 2016, May 10, 2016,

Xiaocheng Zou, David Boyuka, Dhara Desai, Martin, Suren Byna, Kesheng Wu, Kushal, Bin Dong, Wenzhao Zhang, Houjun Tang Dharshi Devendran, David Trebotich, Scott, Hans Johansen, Nagiza Samatova, "AMR-aware In Situ Indexing and Scalable Querying", The 24th High Performance Computing Symposium (HPC, January 1, 2016,

Amir Kamil

2019

John Bachan, Scott B. Baden, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Dan Bonachea, Paul H. Hargrove, Hadia Ahmed, "UPC++: A High-Performance Communication Framework for Asynchronous Computation", 33rd IEEE International Parallel & Distributed Processing Symposium (IPDPS'19), Rio de Janeiro, Brazil, IEEE, May 2019, doi: 10.25344/S4V88H

UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions. We present new design features, including future-based asynchrony management, distributed objects, and generalized Remote Procedure Call (RPC).
We show microbenchmark performance results demonstrating that one-sided Remote Memory Access (RMA) in UPC++ is competitive with MPI-3 RMA; on a Cray XC40 UPC++ delivers up to a 25% improvement in the latency of blocking RMA put, and up to a 33% bandwidth improvement in an RMA throughput test. We showcase the benefits of UPC++ with irregular applications through a pair of application motifs, a distributed hash table and a sparse solver component. Our distributed hash table in UPC++ delivers near-linear weak scaling up to 34816 cores of a Cray XC40. Our UPC++ implementation of the sparse solver component shows robust strong scaling up to 2048 cores, where it outperforms variants communicating using MPI by up to 3.1x.
UPC++ encourages the use of aggressive asynchrony in low-overhead RMA and RPC, improving programmer productivity and delivering high performance in irregular applications.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2019.3.0", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001191, doi: 10.25344/S4F301

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 10", Lawrence Berkeley National Laboratory Tech Report, March 15, 2019, LBNL 2001192, doi: 10.25344/S4JS30

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "Pagoda: Lightweight Communications and Global Address Space Support for Exascale Applications - UPC++", Poster at Exascale Computing Project (ECP) Annual Meeting 2019, January 2019,

2018

Scott B. Baden, Paul H. Hargrove, Hadia Ahmed, John Bachan, Dan Bonachea, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet-EX: PGAS Support for Exascale Applications and Runtimes", The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'18), November 13, 2018,

Lawrence Berkeley National Lab is developing a programming system to support HPC application development using the Partitioned Global Address Space (PGAS) model. This work is driven by the emerging need for adaptive, lightweight communication in irregular applications at exascale. We present an overview of UPC++ and GASNet-EX, including examples and performance results.

GASNet-EX is a portable, high-performance communication library, leveraging hardware support to efficiently implement Active Messages and Remote Memory Access (RMA). UPC++ provides higher-level abstractions appropriate for PGAS programming such as: one-sided communication (RMA), remote procedure call, locality-aware APIs for user-defined distributed objects, and robust support for asynchronous execution to hide latency. Both libraries have been redesigned relative to their predecessors to meet the needs of exascale computing. While both libraries continue to evolve, the system already demonstrates improvements in microbenchmarks and application proxies.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer's Guide, v1.0-2018.9.0", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001180, doi: 10.25344/S49G6V

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate constituent process having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the processes. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Specification v1.0, Draft 8", Lawrence Berkeley National Laboratory Tech Report, September 26, 2018, LBNL 2001179, doi: 10.25344/S45P4X

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

J Bachan, S Baden, D Bonachea, PH Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B van Straalen, "UPC++ Programmer’s Guide, v1.0-2018.3.0", March 31, 2018, LBNL 2001136, doi: 10.2172/1430693

UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, PGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2018., February 2018,

2017

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian Van Straalen, "UPC++: a PGAS C++ Library", ACM/IEEE Conference on Supercomputing, SC'17, November 2017,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ Programmer’s Guide, v1.0-2017.9", Lawrence Berkeley National Laboratory Tech Report, September 29, 2017, LBNL 2001065, doi: 10.2172/1398522

This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136)

UPC++ is a C++11 library that provides Asynchronous Partitioned Global Address Space (APGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The APGAS model is single program, multiple-data (SPMD), with each separate thread of execution (referred to as a rank, a term borrowed from MPI) having access to local memory as it would in C++. However, APGAS also provides access to a global address space, which is allocated in shared segments that are distributed over the ranks. UPC++ provides numerous methods for accessing and using global memory. In UPC++, all operations that access remote memory are explicit, which encourages programmers to be aware of the cost of communication and data movement. Moreover, all remote-memory access operations are by default asynchronous, to enable programmers to write code that scales well even on hundreds of thousands of cores.

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

John Bachan, Dan Bonachea, Paul H Hargrove, Steve Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, Scott B Baden, "The UPC++ PGAS library for Exascale Computing", Proceedings of the Second Annual PGAS Applications Workshop, January 1, 2017, 7,

We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointers, asynchronous programming via RPC, and futures. Global pointers incorporate ownership information useful in optimizing for locality. Futures capture data readiness state, are useful for scheduling and also enable the programmer to chain operations to execute asynchronously as high-latency dependencies become satisfied, via continuations. The interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and closely resemble those used in modern C++. Communication in UPC++ runs at close to hardware speeds by utilizing the low-overhead GASNet-EX communication library.

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Khaled Ibrahim, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ and GASNet: PGAS Support for Exascale Apps and Runtimes", Poster at Exascale Computing Project (ECP) Annual Meeting 2017., January 2017,

2016

D. Ozog, A. Kamil, Y. Zheng, P. Hargrove, J. Hammond, A. Malony, W.A. de Jong, K. Yelick, "A Hartree-Fock Application using UPC++ and the New DArray Library", 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May 23, 2016, doi: 10.1109/IPDPS.2016.108

 

Reijo Keskitalo

2018

KN Abazajian, P Adshead, Z Ahmed, SW Allen, D Alonso, KS Arnold, C Baccigalupi, JG Bartlett, N Battaglia, BA Benson, CA Bischoff, J Borrill, V Buza, E Calabrese, R Caldwell, JE Carlstrom, CL Chang, TM Crawford, F-Y Cyr-Racine, FD Bernardis, TD Haan, SDS Alighieri, J Dunkley, C Dvorkin, J Errard, G Fabbian, S Feeney, S Ferraro, JP Filippini, R Flauger, GM Fuller, V Gluscevic, D Green, D Grin, E Grohs, JW Henning, JC Hill, R Hlozek, G Holder, W Holzapfel, W Hu, KM Huffenberger, R Keskitalo, L Knox, A Kosowsky, J Kovac, ED Kovetz, C-L Kuo, A Kusaka, ML Jeune, AT Lee, M Lilley, M Loverde, MS Madhavacheril, A Mantz, DJE Marsh, J McMahon, PD Meerburg, J Meyers, AD Miller, JB Munoz, HN Nguyen, MD Niemack, M Peloso, J Peloton, L Pogosian, C Pryke, M Raveri, CL Reichardt, G Rocha, A Rotti, E Schaan, MM Schmittfull, D Scott, N Sehgal, S Shandera, BD Sherwin, TL Smith, L Sorbo, GD Starkman, KT Story, AV Engelen, JD Vieira, S Watson, N Whitehorn, WLK Wu, CMB-S4 Science Book, First Edition, 2018,

S Takakura, MAO Aguilar-Faúndez, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, F Bianchini, D Boettger, J Borrill, K Cheung, Y Chinone, T Elleflot, J Errard, G Fabbian, C Feng, N Goeckner-Wald, T Hamada, M Hasegawa, M Hazumi, L Howe, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, AT Lee, LN Lowry, FT Matsuda, AJ May, Y Minami, M Navaroli, H Nishino, L Piccirillo, D Poletti, G Puglisi, CL Reichardt, Y Segawa, M Silva-Feaver, P Siritanasak, A Suzuki, O Tajima, S Takatori, D Tanabe, GP Teply, C Tsai, "Measurements of tropospheric ice clouds with a ground-based CMB polarization experiment, POLARBEAR", Astrophysical Journal, 2018,

TSO Collaboration, P Ade, J Aguirre, Z Ahmed, S Aiola, A Ali, D Alonso, MA Alvarez, K Arnold, P Ashton, J Austermann, H Awan, C Baccigalupi, T Baildon, D Barron, N Battaglia, R Battye, E Baxter, A Bazarko, JA Beall, R Bean, D Beck, S Beckman, B Beringue, F Bianchini, S Boada, D Boettger, JR Bond, J Borrill, ML Brown, SM Bruno, S Bryan, E Calabrese, V Calafut, P Calisse, J Carron, A Challinor, G Chesmore, Y Chinone, J Chluba, H-MS Cho, S Choi, G Coppi, NF Cothard, K Coughlin, D Crichton, KD Crowley, KT Crowley, A Cukierman, MD Ewart, R Dünner, TD Haan, M Devlin, S Dicker, J Didier, M Dobbs, B Dober, C Duell, S Duff, A Duivenvoorden, J Dunkley, J Dusatko, J Errard, G Fabbian, S Feeney, S Ferraro, P Fluxà, K Freese, J Frisch, A Frolov, G Fuller, B Fuzia, N Galitzki, PA Gallardo, JTG Ghersi, J Gao, E Gawiser, M Gerbino, V Gluscevic, N Goeckner-Wald, J Golec, S Gordon, M Gralla, D Green, A Grigorian, J Groh, C Groppi, Y Guan, JE Gudmundsson, D Han, P Hargrave, M Hasegawa, M Hasselfield, M Hattori, V Haynes, M Hazumi, Y He, E Healy, S Henderson, C Hervias-Caimapo, CA Hill, JC Hill, G Hilton, M Hilton, AD Hincks, G Hinshaw, R Hložek, S Ho, S-PP Ho, L Howe, Z Huang, J Hubmayr, K Huffenberger, JP Hughes, A Ijjas, M Ikape, K Irwin, AH Jaffe, B Jain, O Jeong, D Kaneko, E Karpel, N Katayama, B Keating, S Kernasovski, R Keskitalo, T Kisner, K Kiuchi, J Klein, K Knowles, B Koopman, A Kosowsky, N Krachmalnicoff, S Kuenstner, C-L Kuo, A Kusaka, J Lashner, A Lee, E Lee, D Leon, JS-Y Leung, A Lewis, Y Li, Z Li, M Limon, E Linder, C Lopez-Caraballo, T Louis, L Lowry, M Lungu, M Madhavacheril, D Mak, F Maldonado, H Mani, B Mates, F Matsuda, L Maurin, P Mauskopf, A May, N McCallum, C McKenney, J McMahon, PD Meerburg, J Meyers, A Miller, M Mirmelstein, K Moodley, M Munchmeyer, C Munson, S Naess, F Nati, M Navaroli, L Newburgh, HN Nguyen, M Niemack, H Nishino, J Orlowski-Scherer, L Page, B Partridge, J Peloton, F Perrotta, L Piccirillo, G Pisano, D Poletti, R Puddu, G Puglisi, C Raum, CL Reichardt, M Remazeilles, Y Rephaeli, D Riechers, F Rojas, A Roy, S Sadeh, Y Sakurai, M Salatino, MS Rao, E Schaan, M Schmittfull, N Sehgal, J Seibert, U Seljak, B Sherwin, M Shimon, C Sierra, J Sievers, P Sikhosana, M Silva-Feaver, SM Simon, A Sinclair, P Siritanasak, K Smith, S Smith, D Spergel, S Staggs, G Stein, JR Stevens, R Stompor, R Sudiwala, A Suzuki, O Tajima, S Takakura, G Teply, DB Thomas, B Thorne, R Thornton, H Trac, C Tsai, C Tucker, J Ullom, S Vagnozzi, AV Engelen, JV Lanen, DV Winkle, EM Vavagiakis, C Vergès, M Vissers, K Wagoner, J Ward, B Westbrook, N Whitehorn, J Williams, J Williams, EJ Wollack, Z Xu, J Ye, B Yu, C Yu, F Zago, H Zhang, N Zhu, The Simons Observatory: Science goals and forecasts, 2018,

P Collaboration, N Aghanim, Y Akrami, MIR Alves, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, R-R Chary, HC Chiang, LPL Colombo, C Combet, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, R Fernandez-Cobos, K Ferrière, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, G Green, A Gruppuso, JE Gudmundsson, V Guillet, W Handley, FK Hansen, G Helou, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, P Natoli, L Pagano, D Paoletti, G Patanchon, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, I Ristorcelli, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, A Zacchei, A Zonca, Planck 2018 results. XII. Galactic astrophysics using polarized dust emission, 2018,

P Collaboration, Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, C Gauthier, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, D Herranz, E Hivon, DC Hooper, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, V Lindholm, M Lpez-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PD Meerburg, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, S Mitra, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, M Münchmeyer, P Natoli, HU Nørgaard-Nielsen, L Pagano, D Paoletti, B Partridge, G Patanchon, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, M Shiraishi, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, SDM White, A Zacchei, JP Zibin, A Zonca, Planck 2018 results. X. Constraints on inflation, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, R Fernandez-Cobos, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, F Levrier, A Lewis, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, P Natoli, L Pagano, D Paoletti, B Partridge, G Patanchon, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. VIII. Gravitational lensing, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, J Chluba, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, M Farhang, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, P Lemos, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, M Lilley, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, M Martinelli, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, M Millea, S Mitra, M-A Miville-Deschênes, D Molinari, L Montier, G Morgante, A Moss, P Natoli, HU Nørgaard-Nielsen, L Pagano, D Paoletti, B Partridge, G Patanchon, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, L Valenziano, J Valiviita, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. VI. Cosmological parameters, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, F Couchot, BP Crill, F Cuttaia, PD Bernardis, AD Rosa, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, S Henrot-Versillé, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, S Mottet, P Natoli, L Pagano, D Paoletti, B Partridge, G Patanchon, L Patrizii, O Perdereau, F Perrotta, V Pettorino, F Piacentini, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, G Roudier, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, M Tristram, T Trombetti, J Valiviita, F Vansyngel, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, A Zonca, Planck 2018 results. III. High Frequency Instrument data processing and frequency maps, 2018,

P Collaboration, Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, B Casaponsa, A Challinor, HC Chiang, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, F-X Désert, ED Valentino, C Dickinson, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, G Helou, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, M Langer, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, JP Leahy, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, M Lilley, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PD Meerburg, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, M Millea, S Mitra, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, S Mottet, M Münchmeyer, P Natoli, HU Nørgaard-Nielsen, CA Oxborrow, L Pagano, D Paoletti, B Partridge, G Patanchon, TJ Pearson, M Peel, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, M Shiraishi, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Terenzi, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. I. Overview and the cosmological legacy of Planck, 2018,

P Collaboration, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, HC Chiang, C Combet, BP Crill, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, C Dickinson, JM Diego, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, E Falgarone, Y Fantaye, K Ferrière, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, T Ghosh, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, V Guillet, W Handley, FK Hansen, D Herranz, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, N Krachmalnicoff, M Kunz, H Kurki-Suonio, J-M Lamarre, A Lasenby, ML Jeune, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, PG Martin, E Martínez-González, S Matarrese, JD McEwen, PR Meinhold, A Melchiorri, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, P Natoli, L Pagano, D Paoletti, V Pettorino, F Piacentini, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, JD Soler, LD Spencer, JA Tauber, D Tavagnacco, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, F Vansyngel, FV Tent, P Vielva, F Villa, N Vittorio, IK Wehus, A Zacchei, A Zonca, Planck 2018 results. XI. Polarized dust foregrounds, 2018,

T Hasebe, S Kashima, PAR Ade, Y Akiba, D Alonso, K Arnold, J Aumont, C Baccigalupi, D Barron, S Basak, S Beckman, J Borrill, F Boulanger, M Bucher, E Calabrese, Y Chinone, HM Cho, A Cukierman, DW Curtis, T de Haan, M Dobbs, A Dominjon, T Dotani, L Duband, A Ducout, J Dunkley, JM Duval, T Elleflot, HK Eriksen, J Errard, J Fischer, T Fujino, T Funaki, U Fuskeland, K Ganga, N Goeckner-Wald, J Grain, NW Halverson, T Hamada, M Hasegawa, K Hattori, M Hattori, L Hayes, M Hazumi, N Hidehira, CA Hill, G Hilton, J Hubmayr, K Ichiki, T Iida, H Imada, M Inoue, Y Inoue, KD Irwin, H Ishino, O Jeong, H Kanai, D Kaneko, N Katayama, T Kawasaki, SA Kernasovskiy, R Keskitalo, A Kibayashi, Y Kida, K Kimura, T Kisner, K Kohri, E Komatsu, K Komatsu, CL Kuo, NA Kurinsky, A Kusaka, A Lazarian, AT Lee, D Li, E Linder, B Maffei, "Concept Study of Optical Configurations for High-Frequency Telescope for LiteBIRD", Journal of Low Temperature Physics, 2018, 193:841--850, doi: 10.1007/s10909-018-1915-2

B Westbrook, PAR Ade, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, S Beckman, AN Bender, F Bianchini, D Boettger, J Borrill, S Chapman, Y Chinone, G Coppi, K Crowley, A Cukierman, T de Haan, R Dünner, M Dobbs, T Elleflot, J Errard, G Fabbian, SM Feeney, C Feng, G Fuller, N Galitzki, A Gilbert, N Goeckner-Wald, J Groh, NW Halverson, T Hamada, M Hasegawa, M Hazumi, CA Hill, W Holzapfel, L Howe, Y Inoue, G Jaehnig, A Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, M Le Jeune, AT Lee, D Leon, E Linder, L Lowry, A Madurowicz, D Mak, F Matsuda, A May, NJ Miller, Y Minami, J Montgomery, M Navaroli, H Nishino, J Peloton, A Pham, L Piccirillo, D Plambeck, D Poletti, G Puglisi, C Raum, G Rebeiz, CL Reichardt, PL Richards, H Roberts, C Ross, KM Rotermund, Y Segawa, "The POLARBEAR-2 and Simons Array Focal Plane Fabrication Status", Journal of Low Temperature Physics, 2018, 193:758--770, doi: 10.1007/s10909-018-2059-0

A Suzuki, PAR Ade, Y Akiba, D Alonso, K Arnold, J Aumont, C Baccigalupi, D Barron, S Basak, S Beckman, J Borrill, F Boulanger, M Bucher, E Calabrese, Y Chinone, S Cho, B Crill, A Cukierman, DW Curtis, T de Haan, M Dobbs, A Dominjon, T Dotani, L Duband, A Ducout, J Dunkley, JM Duval, T Elleflot, HK Eriksen, J Errard, J Fischer, T Fujino, T Funaki, U Fuskeland, K Ganga, N Goeckner-Wald, J Grain, NW Halverson, T Hamada, T Hasebe, M Hasegawa, K Hattori, M Hattori, L Hayes, M Hazumi, N Hidehira, CA Hill, G Hilton, J Hubmayr, K Ichiki, T Iida, H Imada, M Inoue, Y Inoue, KD Irwin, H Ishino, O Jeong, H Kanai, D Kaneko, S Kashima, N Katayama, T Kawasaki, SA Kernasovskiy, R Keskitalo, A Kibayashi, Y Kida, K Kimura, T Kisner, K Kohri, E Komatsu, K Komatsu, CL Kuo, NA Kurinsky, A Kusaka, A Lazarian, AT Lee, D Li, E Linder, "The LiteBIRD Satellite Mission: Sub-Kelvin Instrument", Journal of Low Temperature Physics, 2018, 193:1048--1056, doi: 10.1007/s10909-018-1947-7

Y Akrami, F Arguëso, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, J Carron, HC Chiang, C Combet, BP Crill, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, "Planck intermediate results: LIV. the Planck multi-frequency catalogue of non-thermal sources", Astronomy and Astrophysics, 2018, 619, doi: 10.1051/0004-6361/201832888

N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, J Carron, HC Chiang, B Comis, D Contreras, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, M Gerbino, KM Górski, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, "Planck intermediate results: LIII. Detection of velocity dispersion from the kinetic Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2018, 617, doi: 10.1051/0004-6361/201731489

D Barron, Y Chinone, A Kusaka, J Borril, J Errard, S Feeney, S Ferraro, R Keskitalo, AT Lee, NA Roe, BD Sherwin, A Suzuki, "Optimization study for the experimental configuration of CMB-S4", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/02/009

JF Macìas-Pérez, J Delabrouille, P De Bernardis, FR Bouchet, A Achúcarro, PAR Ade, R Allison, F Arroja, E Artal, M Ashdown, C Baccigalupi, M Ballardini, AJ Banday, R Banerji, D Barbosa, J Bartlett, N Bartolo, S Basak, JJA Baselmans, K Basu, ES Battistelli, R Battye, D Baumann, A Benoít, M Bersanelli, A Bideaud, M Biesiada, M Bilicki, A Bonaldi, M Bonato, J Borrill, F Boulanger, T Brinckmann, ML Brown, M Bucher, C Burigana, A Buzzelli, G Cabass, ZY Cai, M Calvo, A Caputo, CS Carvalho, FJ Casas, G Castellano, A Catalano, A Challinor, I Charles, J Chluba, DL Clements, S Clesse, S Colafrancesco, I Colantoni, D Contreras, A Coppolecchia, M Crook, G D Alessandro, G D Amico, AD Silva, M De Avillez, G De Gasperis, MD Petris, G De Zotti, L Danese, FX Désert, V Desjacques, ED Valentino, C Dickinson, JM Diego, S Doyle, R Durrer, "Exploring cosmic origins with CORE: Survey requirements and mission design", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/04/014

P Natoli, M Ashdown, R Banerji, J Borrill, A Buzzelli, G De Gasperis, J Delabrouille, E Hivon, D Molinari, G Patanchon, L Polastri, M Tomasi, FR Bouchet, S Henrot-Versillé, DT Hoang, R Keskitalo, K Kiiveri, T Kisner, V Lindholm, D McCarthy, F Piacentini, O Perdereau, G Polenta, M Tristram, A Achucarro, P Ade, R Allison, C Baccigalupi, M Ballardini, AJ Banday, J Bartlett, N Bartolo, S Basak, D Baumann, M Bersanelli, A Bonaldi, M Bonato, F Boulanger, T Brinckmann, M Bucher, C Burigana, ZY Cai, M Calvo, CS Carvalho, MG Castellano, A Challinor, J Chluba, S Clesse, I Colantoni, A Coppolecchia, M Crook, G D Alessandro, P De Bernardis, GD Zotti, ED Valentino, JM Diego, J Errard, S Feeney, R Fernandez-Cobos, F Finelli, F Forastieri, S Galli, R Genova-Santos, "Exploring cosmic origins with CORE: Mitigation of systematic effects", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/04/022

JR Stevens, N Goeckner-Wald, R Keskitalo, N McCallum, A Ali, J Borrill, ML Brown, Y Chinone, PA Gallardo, A Kusaka, AT Lee, J McMahon, MD Niemack, L Page, G Puglisi, M Salatino, SYD Mak, G Teply, DB Thomas, EM Vavagiakis, EJ Wollack, Z Xu, N Zhu, "Designs for next generation CMB survey strategies from Chile", Proceedings of SPIE - The International Society for Optical Engineering, 2018, 10708, doi: 10.1117/12.2313898

2017

PAR Ade, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, F Bianchini, D Boettger, J Borrill, S Chapman, Y Chinone, K Crowley, A Cukierman, R Dünner, M Dobbs, A Ducout, T Elleflot, J Errard, G Fabbian, SM Feeney, C Feng, T Fujino, N Galitzki, A Gilbert, N Goeckner-Wald, JC Groh, G Hall, N Halverson, T Hamada, M Hasegawa, M Hazumi, CA Hill, L Howe, Y Inoue, G Jaehnig, AH Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, ML Jeune, AT Lee, EM Leitch, D Leon, E Linder, L Lowry, F Matsuda, T Matsumura, Y Minami, J Montgomery, M Navaroli, H Nishino, H Paar, J Peloton, ATP Pham, D Poletti, G Puglisi, CL Reichardt, PL Richards, C Ross, Y Segawa, BD Sherwin, M Silva-Feaver, P Siritanasak, N Stebor, R Stompor, A Suzuki, O Tajima, S Takakura, "A Measurement of the Cosmic Microwave Background B-mode Polarization Power Spectrum at Subdegree Scales from Two Years of polarbear Data", Astrophysical Journal, 2017, 848, doi: 10.3847/1538-4357/aa8e9f

Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, FK Hansen, G Helou, S Henrot-Versillé, "Planck intermediate results: LII. Planet flux densities", Astronomy and Astrophysics, 2017, 607, doi: 10.1051/0004-6361/201630311

N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, A Challinor, HC Chiang, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, D Herranz, E Hivon, "Planck intermediate results: LI. Features in the cosmic microwave background temperature power spectrum and shifts in cosmological parameters", Astronomy and Astrophysics, 2017, 607, doi: 10.1051/0004-6361/201629504

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, HC Chiang, LPL Colombo, C Combet, B Comis, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, M Giard, J González-Nuevo, KM Górski, "Planck intermediate results: L. Evidence of spatial variation of the polarized thermal dust spectral energy distribution and implications for CMB B-mode analysis", Astronomy and Astrophysics, 2017, 599, doi: 10.1051/0004-6361/201629164

S Takakura, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, S Beckman, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, A Ducout, T Elleflot, J Errard, G Fabbian, T Fujino, N Galitzki, N Goeckner-Wald, NW Halverson, M Hasegawa, K Hattori, M Hazumi, C Hill, L Howe, Y Inoue, AH Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, AT Lee, D Leon, L Lowry, F Matsuda, T Matsumura, M Navaroli, H Nishino, H Paar, J Peloton, D Poletti, G Puglisi, CL Reichardt, C Ross, P Siritanasak, A Suzuki, O Tajima, S Takatori, G Teply, "Performance of a continuously rotating half-wave plate on the POLARBEAR telescope", Journal of Cosmology and Astroparticle Physics, 2017, 2017, doi: 10.1088/1475-7516/2017/05/008

D Poletti, G Fabbian, M Le Jeune, J Peloton, K Arnold, C Baccigalupi, D Barron, S Beckman, J Borrill, S Chapman, Y Chinone, A Cukierman, A Ducout, T Elleflot, J Errard, S Feeney, N Goeckner-Wald, J Groh, G Hall, M Hasegawa, M Hazumi, C Hill, L Howe, Y Inoue, AH Jaffe, O Jeong, N Katayama, B Keating, R Keskitalo, T Kisner, A Kusaka, AT Lee, D Leon, E Linder, L Lowry, F Matsuda, M Navaroli, H Paar, G Puglisi, CL Reichardt, C Ross, P Siritanasak, N Stebor, B Steinbach, R Stompor, A Suzuki, O Tajima, G Teply, N Whitehorn, "Making maps of cosmic microwave background polarization for B-mode studies: The POLARBEAR example", Astronomy and Astrophysics, 2017, 600, doi: 10.1051/0004-6361/201629467

2016

PAR Ade, N Aghanim, Y Akrami, PK Aluri, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoit, A Benoit-Levy, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P de Bernardis, A de Rosa, G de Zotti, J Delabrouille, F-X Desert, JM Diego, H Dole, S Donzelli, O Dore, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Ensslin, HK Eriksen, Y Fantaye, J Ferguson, R Fernandez-Cobos, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, A Frolov, S Galeotta, S Galli, K Ganga, C Gauthier, T Ghosh, M Giard, Y Giraud-Heraud, E Gjerlow, J Gonzalez-Nuevo, KM Gorski, S Gratton, A Gregorio, A Gruppuso, JE Gudmundsson, FK Hansen, D Hanson, DL Harrison, S Henrot-Versille, C Hernandez-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, WA Holmes, A Hornstrup, W Hovest, Z Huang, KM Huffenberger, G Hurier, AH Jaffe, TR Jaffe, WC Jones, M Juvela, E Keihanen, R Keskitalo, J Kim, TS Kisner, J Knoche, M Kunz, H Kurki-Suonio, G Lagache, A Lahteenmaki, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, R Leonardi, J Lesgourgues, F Levrier, M Liguori, PB Lilje, M Linden-Vornle, H Liu, M Lopez-Caniego, PM Lubin, JF Macias-Perez, G Maggio, D Maino, N Mandolesi, A Mangilli, D Marinucci, M Maris, PG Martin, E Martinez-Gonzalez, S Masi, S Matarrese, P McGehee, PR Meinhold, A Melchiorri, L Mendes, A Mennella, M Migliaccio, K Mikkelsen, S Mitra, M-A Miville-Deschenes, D Molinari, A Moneti, L Montier, G Morgante, D Mortlock, A Moss, D Munshi, JA Murphy, P Naselsky, F Nati, P Natoli, CB Netterfield, HU Norgaard-Nielsen, F Noviello, D Novikov, I Novikov, CA Oxborrow, F Paci, L Pagano, F Pajot, N Pant, D Paoletti, F Pasian, G Patanchon, TJ Pearson, O Perdereau, L Perotto, F Perrotta, V Pettorino, F Piacentini, M Piat, E Pierpaoli, D Pietrobon, S Plaszczynski, E Pointecouteau, G Polenta, L Popa, GW Pratt, G Prezeau, S Prunet, J-L Puget, JP Rachen, R Rebolo, M Reinecke, M Remazeilles, C Renault, A Renzi, I Ristorcelli, G Rocha, C Rosset, M Rossetti, A Rotti, G Roudier, JA Rubino-Martin, B Rusholme, M Sandri, D Santos, M Savelainen, G Savini, D Scott, MD Seiffert, EPS Shellard, T Souradeep, LD Spencer, V Stolyarov, R Stompor, R Sudiwala, R Sunyaev, D Sutton, A-S Suur-Uski, J-F Sygnet, JA Tauber, L Terenzi, L Toffolatti, M Tomasi, M Tristram, T Trombetti, M Tucci, J Tuovinen, L Valenziano, J Valiviita, B Van Tent, P Vielva, F Villa, LA Wade, BD Wandelt, IK Wehus, D Yvon, A Zacchei, JP Zibin, A Zonca, P Collaboration, "Planck 2015 results XVI. Isotropy and statistics of the CMB", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526681

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, HC Chiang, PR Christensen, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, "Planck intermediate results: XXXVIII. E- and B-modes of dust polarization from the magnetized filamentary structure of the interstellar medium", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526506

PAR Ade, N Aghanim, M Arnaud, M Ashdown, E Aubourg, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Giard, E Gjerløw, "Planck intermediate results: XXXVII. Evidence of unbound gas from the kinetic Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526328

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, R Barrena, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, I Bikmaev, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, R Burenin, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, HC Chiang, G Chon, PR Christensen, DL Clements, LPL Colombo, C Combet, B Comis, BP Crill, A Curto, F Cuttaia, H Dahle, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, A Ferragamo, F Finelli, O Forni, M Frailis, AA Fraisse, "Planck intermediate results: XXXVI. Optical identification and redshifts of Planck SZ sources with telescopes at the Canary Islands observatories", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526345

PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, D Falceta-Gonçalves, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, "Planck intermediate results: XXXV. Probing the role of the magnetic field in the formation of structure in molecular clouds", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201525896

N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, "Planck intermediate results: XXXIV. The magnetic field structure in the Rosette Nebula", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201525616

PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, O Berné, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, "Planck intermediate results: XXXIII. Signature of the magnetic field geometry of interstellar filaments in dust polarization maps", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425305

M Arnaud, M Ashdown, F Atrio-Barandela, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, J Bobin, JR Bond, J Borrill, FR Bouchet, CL Brogan, C Burigana, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, S Donzelli, O Doré, X Dupac, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, M Giard, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, FK Hansen, DL Harrison, C Hernández-Monteagudo, D Herranz, SR Hildebrandt, "Planck intermediate results: XXXI. Microwave survey of Galactic supernova remnants", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425022

R Adam, PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, "Planck intermediate results: XXX. The angular power spectrum of polarized dust emission at intermediate and high Galactic latitudes", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425034

PAR Ade, N Aghanim, MIR Alves, G Aniano, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, BT Draine, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, "Planck intermediate results: XXIX. All-sky dust modelling with Planck, IRAS, and WISE observations", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201424945

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Levy, J-P Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, RC Butler, E Calabrese, J-F Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P de Bernardis, A de Rosa, G de Zotti, J Delabrouillel, C Dickinson, JM Diego, H Dole, S Donzelli, O Dore, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Ensslin, HK Eriksen, E Falgarone, K Ferriere, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejse, S Galeotta, S Gai, K Ganga, T Ghosh, M Giard, E Gjerlow, J Gonzalez-Nuevo, KM Gorski, A Gregorio, A Gruppuso, V Guillet, K Hansen, D Hanson, DL Harrison, S Henrot-Versille, C Hernandez-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, WA Holmes, W Hovest, KM Huffenberger, G Hurier, AH Jaffe, TR Jaffe, WC Jones, M Juvela, E Keihanen, R Keskitalo, TS Kisner, R Kneiss, J Knoche, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, R Leonardi, F Levrier, M Liguori, PB Lilje, M Linden-Vornle, M Lopez-Caniego, PM Lubin, JF Macias-Perez, B Maffei, D Maino, N Mandolesi, M Maris, DJ Marshal, PG Martin, E Martinez-Gonzalez, S Masi, S Matarrese, P Mazzotta, A Melchiorri, L Mendes, A Mennella, M Migliaccio, M-A Miville-Descheness, A Moneti, L Montier, G Morgante, D Mortlock, D Munshi, JA Murphy, P Naselsky, P Natoli, HU Norgaard-Nielsen, F Noviello, D Novikov, I Novikov, N Oppermann, CA Oxborrow, L Pagano, F Pajot, D Paoletti, F Pasian, O Perdereau, L Perotto, F Perrotta, V Pettorino, F Piacentini, M Piat, S Plaszczynski, E Pointecouteau, G Polenta, N Ponthieu, L Popa, GW Pratt, S Prunet, J-L Puget, JP Rachen, WT Reach, M Reinecke, M Remazeilles, C Renault, I Ristorcelli, G Rocha, G Roudier, JA Rubino-Martin, B Rusholme, M Sandri, D Santos, G Savini, D Scott, JD Soler, LD Spencer, V Stolyarov, R Sudiwala, R Sunyaev, D Sutton, A-S Suur-Uski, J-F Sygnet, JA Tauber, L Terenzi, L Toffolatti, M Tomasi, M Tristram, M Tucci, G Umana, L Valenziano, J Valiviita, B Van Tent, P Vielva, F Villa, LA Wade, BD Wandelt, IK Wehus, H Wiesemeyer, D Yvon, A Zacchei, A Zonca, P Collaboration, "Planck intermediate results XXXII. The relative orientation between the magnetic field and structures traced by interstellar dust", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425044

A Suzuki, P Ade, Y Akiba, C Aleman, K Arnold, C Baccigalupi, B Barch, D Barron, A Bender, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, M Dobbs, A Ducout, R Dunner, T Elleflot, J Errard, G Fabbian, S Feeney, C Feng, T Fujino, G Fuller, A Gilbert, N Goeckner-Wald, J Groh, TD Haan, G Hall, N Halverson, T Hamada, M Hasegawa, K Hattori, M Hazumi, C Hill, W Holzapfel, Y Hori, L Howe, Y Inoue, F Irie, G Jaehnig, A Jaffe, O Jeong, N Katayama, J Kaufman, K Kazemzadeh, B Keating, Z Kermish, R Keskitalo, T Kisner, A Kusaka, ML Jeune, A Lee, D Leon, E Linder, L Lowry, F Matsuda, T Matsumura, N Miller, K Mizukami, J Montgomery, M Navaroli, H Nishino, J Peloton, D Poletti, G Puglisi, G Rebeiz, C Raum, C Reichardt, P Richards, C Ross, K Rotermund, Y Segawa, B Sherwin, I Shirley, P Siritanasak, N Stebor, R Stompor, J Suzuki, O Tajima, S Takada, S Takakura, S Takatori, A Tikhomirov, T Tomaru, B Westbrook, N Whitehorn, T Yamashita, A Zahn, O Zahn, "The Polarbear-2 and the Simons Array Experiments", Journal of Low Temperature Physics, 2016, 184:805--810, doi: 10.1007/s10909-015-1425-4

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, "Planck intermediate results. XXXII. The relative orientation between the magnetic field and structures traced by interstellar dust", Astronomy and Astrophysics, 2016, 586:1--25,

Y Inoue, P Ade, Y Akiba, C Aleman, K Arnold, C Baccigalupi, B Barch, D Barron, A Bender, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, T De Haan, MA Dobbs, A Ducout, R Dunner, T Elleflot, J Errard, G Fabbian, S Feeney, C Feng, G Fuller, AJ Gilbert, N Goeckner-Wald, J Groh, G Hall, N Halverson, T Hamada, M Hasegawa, K Hattori, M Hazumi, C Hill, WL Holzapfel, Y Hori, L Howe, F Irie, G Jaehnig, A Jaffe, O Jeong, N Katayama, JP Kaufman, K Kazemzadeh, BG Keating, Z Kermish, R Keskitalo, TS Kisner, A Kusaka, M Le Jeune, AT Lee, D Leon, EV Linder, L Lowry, F Matsuda, T Matsumura, N Miller, K Mizukami, J Montgomery, M Navaroli, H Nishino, H Paar, J Peloton, D Poletti, G Puglisi, CR Raum, GM Rebeiz, CL Reichardt, PL Richards, C Ross, KM Rotermund, Y Segawa, "POLARBEAR-2: An instrument for CMB polarization measurements", Proceedings of SPIE - The International Society for Optical Engineering, 2016, 9914, doi: 10.1117/12.2231961

PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, A Catalano, HC Chiang, PR Christensen, DL Clements, LPL Colombo, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, F Finelli, I Flores-Cacho, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, "Planck intermediate results: XXXIX. the Planck list of high-redshift source candidates", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527206

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, "Planck intermediate results: XLVIII. Disentangling Galactic dust emission and cosmic infrared background anisotropies", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201629022

R Adam, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, "Planck intermediate results: XLVII. Planck constraints on reionization history", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628897

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, B Comis, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, "Planck intermediate results: XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628890

PAR Ade, N Aghanim, HD Aller, MF Aller, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, A Catalano, HC Chiang, PR Christensen, DL Clements, LPL Colombo, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, A Ducout, X Dupac, G Efstathiou, F Elsner, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gruppuso, MA Gurwell, FK Hansen, DL Harrison, S Henrot-Versillé, "Planck intermediate results: XLV. Radio spectra of northern extragalactic radio sources", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527780

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, D Contreras, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, S Dusini, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, FK Hansen, S Henrot-Versillé, "Planck intermediate results: XLIX. Parity-violation constraints from polarization data", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201629018

N Aghanim, MIR Alves, D Arzoumanian, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, JF Cardoso, HC Chiang, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, K Ferrière, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, "Planck intermediate results: XLIV. Structure of the Galactic magnetic field from dust polarization maps of the southern Galactic cap", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628636

R Adam, PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, M Bersanelli, P Bielewicz, I Bikmaev, A Bonaldi, JR Bond, J Borrill, FR Bouchet, R Burenin, C Burigana, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, E Churazov, LPL Colombo, C Combet, B Comis, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, RT Génova-Santos, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, "Planck intermediate results: XLIII. Spectral energy distribution of dust in clusters of galaxies", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628522

R Adam, PAR Ade, MIR Alves, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, T Ghosh, M Giard, E Gjerløw, J González-Nuevo, KM Górski, "Planck intermediate results: XLII. Large-scale Galactic magnetic fields", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201528033

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, T Ghosh, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gruppuso, "Planck intermediate results: XLI. A map of lensing-induced B -modes", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527932

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, "Planck intermediate results: XL. the Sunyaev-Zeldovich signal from the Virgo cluster", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527743

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, J Fergusson, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, "Planck 2015 results: XXVIII. the Planck Catalogue of Galactic cold clumps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525819

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, R Barrena, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, I Bikmaev, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, R Burenin, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, G Chon, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, H Dahle, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, "Planck 2015 results: XXVII. The second Planck catalogue of Sunyaev-Zeldovich sources", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525823

PAR Ade, N Aghanim, F Arguëso, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, C Beichman, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, M Clemens, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XXVI. The Second Planck Catalogue of Compact Sources", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526914

PAR Ade, N Aghanim, MIR Alves, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XXV. Diffuse low-frequency Galactic foregrounds", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526803

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XXIV. Cosmology from Sunyaev-Zeldovich cluster counts", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525833

PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, A Catalano, A Chamballu, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, I Flores-Cacho, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, "Planck 2015 results: XXIII. The thermal Sunyaev-Zeldovich effect-cosmic infrared background correlation", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527418

N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, "Planck 2015 results: XXII. A map of the thermal Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525826

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, "Planck 2015 results: XXI. The integrated Sachs-Wolfe effect", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525831

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XX. Constraints on inflation", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525898

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, S Feeney, J Fergusson, "Planck 2015 results: XVIII. Background geometry and topology of the Universe", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525829

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XVII. Constraints on primordial non-Gaussianity", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525836

PAR Ade, N Aghanim, Y Akrami, PK Aluri, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XVI. Isotropy and statistics of the CMB", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526681

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XV. Gravitational lensing", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525941

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, J Chluba, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XIX. Constraints on primordial magnetic fields", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525821

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, "Planck 2015 results: XIV. Dark energy and modified gravity", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525814

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, J Chluba, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, "Planck 2015 results: XIII. Cosmological parameters", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525830

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, G Castex, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XII. Full focal plane simulations", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527103

N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, HC Chiang, PR Christensen, DL Clements, LPL Colombo, C Combet, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, "Planck 2015 results: XI. CMB power spectra, likelihoods, and robustness of parameters", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526926

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: X. Diffuse component separation: Foreground maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525967

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, "Planck 2015 results: VIII. High Frequency Instrument data processing: Calibration and maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525820

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, "Planck 2015 results: VII. High Frequency Instrument data processing: Time-ordered information and beams", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525844

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, "Planck 2015 results: VI. LFI mapmaking", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525813

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, P Battaglia, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, "Planck 2015 results: V. LFI calibration", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526632

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, G Castex, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: IX. Diffuse component separation: CMB maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525936

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, "Planck 2015 results: IV. Low Frequency Instrument beams and window functions", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525809

PAR Ade, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, P Battaglia, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, C Burigana, RC Butler, E Calabrese, A Catalano, PR Christensen, LPL Colombo, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, F Finelli, M Frailis, C Franceschet, E Franceschi, S Galeotta, S Galli, K Ganga, T Ghosh, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, FK Hansen, DL Harrison, C Hernández-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, A Hornstrup, W Hovest, "Planck 2015 results: III. LFI systematic uncertainties", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526998

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, P Battaglia, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, G Castex, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, C Franceschet, "Planck 2015 results: II. Low Frequency Instrument data processings", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525818

R Adam, PAR Ade, N Aghanim, Y Akrami, MIR Alves, F Arguëso, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, P Battaglia, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, I Bikmaev, JJ Bock, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, R Burenin, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, B Casaponsa, G Castex, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, J Chluba, G Chon, PR Christensen, S Church, M Clemens, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, D Contreras, "Planck 2015 results: I. Overview of products and scientific results", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527101

Changho Kim

2018

K.-S. Kim, M.H. Han, C. Kim, Z. Li, G.E. Karniadakis, E.K. Lee, "Nature of intrinsic uncertainties in equilibrium molecular dynamics estimation of shear viscosity for simple and complex fluids", J. Chem. Phys. 149, 044510, 2018,

A. Donev, C.-Y. Yang, C. Kim, "Efficient reactive Brownian dynamics", J. Chem. Phys. 148, 034103, 2018,

2017

B. Choi, K.H. Han, C. Kim, P. Talkner, A. Kidera, E.K. Lee, "Nature of self-diffusion in two-dimensional fluids", New J. Phys. 19, 123038, 2017,

Mariam Kiran

2019

Mariam Kiran, Anshuman Chhabra, "Understanding flows in high-speed scientific networks: A Netflow data study", Future Generation Computer Science, 2019,

2018

F Alali, N Hanford, E Pouyoul, R Kettimuthu, M Kiran, B Mack-Crane, B Tierney, Y Kumar, D Ghosal, "Calibers: A bandwidth calendaring paradigm for science workflows", Future Generation Computer Systems, 2018, 89:736--745, doi: 10.1016/j.future.2018.07.030

A Bennaceur, A Cano, L Georgieva, M Kiran, M Salama, P Yadav, "Issues in gender diversity and equality in the UK", Proceedings - International Conference on Software Engineering, 2018, 5--9, doi: 10.1145/3195570.3195571

B Mohammed, B Modu, KM Maiyama, H Ugail, I Awan, M Kiran, "Failure Analysis Modelling in an Infrastructure as a Service (Iaas) Environment", Electronic Notes in Theoretical Computer Science, 2018, 340:41--54, doi: 10.1016/j.entcs.2018.09.004

M Gribaudo, M Iacono, M Kiran, "A performance modeling framework for lambda architecture based applications", Future Generation Computer Systems, 2018, 86:1032--1041, doi: 10.1016/j.future.2017.07.033

M Kiran, E Pouyoul, A Mercian, B Tierney, C Guok, I Monga, "Enabling intent to configure scientific networks for high performance demands", Future Generation Computer Systems, 2018, 79:205--214, doi: 10.1016/j.future.2017.04.020

2017

A Mercian, M Kiran, E Pouyoul, B Tierney, I Monga, "INDIRA: Application Intent network assistant to configure SDN-based high performance scientific networks", Optics InfoBase Conference Papers, 2017, Part F40, doi: 10.1364/OFC.2017.Tu3L.6

M Usman, A Iqbal, M Kiran, "A bandwidth friendly architecture for Cloud Gaming", International Conference on Information Networking, 2017, 179--184, doi: 10.1109/ICOIN.2017.7899500

KM Maiyama, D Kouvatsos, B Mohammed, M Kiran, MA Kamala, "Performance modelling and analysis of an OpenStack IaaS cloud computing platform", Proceedings - 2017 IEEE 5th International Conference on Future Internet of Things and Cloud, FiCloud 2017, 2017, 2017-Jan:198--205, doi: 10.1109/FiCloud.2017.54

T Eftonova, M Kiran, M Stannett, "Long-term Macroeconomic Dynamics of Competition in the Russian Economy using Agent- based Modelling.", IJSDA, 2017, 6:1--20,

B Mohammed, M Kiran, KM Maiyama, MM Kamala, IU Awan, "Failover strategy for fault tolerance in cloud computing environment", Software - Practice and Experience, 2017, 47:1243--1274, doi: 10.1002/spe.2491

2016

B Mohammed, M Kiran, I-U Awan, KM Maiyama, "An Integrated Virtualized Strategy for Fault Tolerance in Cloud Computing Environment", 2016 INT IEEE CONFERENCES ON UBIQUITOUS INTELLIGENCE \& COMPUTING, ADVANCED \& TRUSTED COMPUTING, SCALABLE COMPUTING AND COMMUNICATIONS, CLOUD AND BIG DATA COMPUTING, INTERNET OF PEOPLE, AND SMART WORLD CONGRESS (UIC/ATC/SCALCOM/CBDCOM/IOP/SMARTWORLD), 2016, 542--549, doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.158

B Mohammed, M Kiran, IU Awan, KM Maiyama, "Optimising fault tolerance in real-time cloud computing IaaS environment", Proceedings - 2016 IEEE 4th International Conference on Future Internet of Things and Cloud, FiCloud 2016, 2016, 363--370, doi: 10.1109/FiCloud.2016.58

M Kiran, A Simons, "Testing Software Services in Cloud Ecosystems", International Journal of Cloud Applications and Computing, 2016, 6:42--58, doi: 10.4018/ijcac.2016010103

Ted Kisner

2018

KN Abazajian, P Adshead, Z Ahmed, SW Allen, D Alonso, KS Arnold, C Baccigalupi, JG Bartlett, N Battaglia, BA Benson, CA Bischoff, J Borrill, V Buza, E Calabrese, R Caldwell, JE Carlstrom, CL Chang, TM Crawford, F-Y Cyr-Racine, FD Bernardis, TD Haan, SDS Alighieri, J Dunkley, C Dvorkin, J Errard, G Fabbian, S Feeney, S Ferraro, JP Filippini, R Flauger, GM Fuller, V Gluscevic, D Green, D Grin, E Grohs, JW Henning, JC Hill, R Hlozek, G Holder, W Holzapfel, W Hu, KM Huffenberger, R Keskitalo, L Knox, A Kosowsky, J Kovac, ED Kovetz, C-L Kuo, A Kusaka, ML Jeune, AT Lee, M Lilley, M Loverde, MS Madhavacheril, A Mantz, DJE Marsh, J McMahon, PD Meerburg, J Meyers, AD Miller, JB Munoz, HN Nguyen, MD Niemack, M Peloso, J Peloton, L Pogosian, C Pryke, M Raveri, CL Reichardt, G Rocha, A Rotti, E Schaan, MM Schmittfull, D Scott, N Sehgal, S Shandera, BD Sherwin, TL Smith, L Sorbo, GD Starkman, KT Story, AV Engelen, JD Vieira, S Watson, N Whitehorn, WLK Wu, CMB-S4 Science Book, First Edition, 2018,

S Takakura, MAO Aguilar-Faúndez, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, F Bianchini, D Boettger, J Borrill, K Cheung, Y Chinone, T Elleflot, J Errard, G Fabbian, C Feng, N Goeckner-Wald, T Hamada, M Hasegawa, M Hazumi, L Howe, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, AT Lee, LN Lowry, FT Matsuda, AJ May, Y Minami, M Navaroli, H Nishino, L Piccirillo, D Poletti, G Puglisi, CL Reichardt, Y Segawa, M Silva-Feaver, P Siritanasak, A Suzuki, O Tajima, S Takatori, D Tanabe, GP Teply, C Tsai, "Measurements of tropospheric ice clouds with a ground-based CMB polarization experiment, POLARBEAR", Astrophysical Journal, 2018,

TSO Collaboration, P Ade, J Aguirre, Z Ahmed, S Aiola, A Ali, D Alonso, MA Alvarez, K Arnold, P Ashton, J Austermann, H Awan, C Baccigalupi, T Baildon, D Barron, N Battaglia, R Battye, E Baxter, A Bazarko, JA Beall, R Bean, D Beck, S Beckman, B Beringue, F Bianchini, S Boada, D Boettger, JR Bond, J Borrill, ML Brown, SM Bruno, S Bryan, E Calabrese, V Calafut, P Calisse, J Carron, A Challinor, G Chesmore, Y Chinone, J Chluba, H-MS Cho, S Choi, G Coppi, NF Cothard, K Coughlin, D Crichton, KD Crowley, KT Crowley, A Cukierman, MD Ewart, R Dünner, TD Haan, M Devlin, S Dicker, J Didier, M Dobbs, B Dober, C Duell, S Duff, A Duivenvoorden, J Dunkley, J Dusatko, J Errard, G Fabbian, S Feeney, S Ferraro, P Fluxà, K Freese, J Frisch, A Frolov, G Fuller, B Fuzia, N Galitzki, PA Gallardo, JTG Ghersi, J Gao, E Gawiser, M Gerbino, V Gluscevic, N Goeckner-Wald, J Golec, S Gordon, M Gralla, D Green, A Grigorian, J Groh, C Groppi, Y Guan, JE Gudmundsson, D Han, P Hargrave, M Hasegawa, M Hasselfield, M Hattori, V Haynes, M Hazumi, Y He, E Healy, S Henderson, C Hervias-Caimapo, CA Hill, JC Hill, G Hilton, M Hilton, AD Hincks, G Hinshaw, R Hložek, S Ho, S-PP Ho, L Howe, Z Huang, J Hubmayr, K Huffenberger, JP Hughes, A Ijjas, M Ikape, K Irwin, AH Jaffe, B Jain, O Jeong, D Kaneko, E Karpel, N Katayama, B Keating, S Kernasovski, R Keskitalo, T Kisner, K Kiuchi, J Klein, K Knowles, B Koopman, A Kosowsky, N Krachmalnicoff, S Kuenstner, C-L Kuo, A Kusaka, J Lashner, A Lee, E Lee, D Leon, JS-Y Leung, A Lewis, Y Li, Z Li, M Limon, E Linder, C Lopez-Caraballo, T Louis, L Lowry, M Lungu, M Madhavacheril, D Mak, F Maldonado, H Mani, B Mates, F Matsuda, L Maurin, P Mauskopf, A May, N McCallum, C McKenney, J McMahon, PD Meerburg, J Meyers, A Miller, M Mirmelstein, K Moodley, M Munchmeyer, C Munson, S Naess, F Nati, M Navaroli, L Newburgh, HN Nguyen, M Niemack, H Nishino, J Orlowski-Scherer, L Page, B Partridge, J Peloton, F Perrotta, L Piccirillo, G Pisano, D Poletti, R Puddu, G Puglisi, C Raum, CL Reichardt, M Remazeilles, Y Rephaeli, D Riechers, F Rojas, A Roy, S Sadeh, Y Sakurai, M Salatino, MS Rao, E Schaan, M Schmittfull, N Sehgal, J Seibert, U Seljak, B Sherwin, M Shimon, C Sierra, J Sievers, P Sikhosana, M Silva-Feaver, SM Simon, A Sinclair, P Siritanasak, K Smith, S Smith, D Spergel, S Staggs, G Stein, JR Stevens, R Stompor, R Sudiwala, A Suzuki, O Tajima, S Takakura, G Teply, DB Thomas, B Thorne, R Thornton, H Trac, C Tsai, C Tucker, J Ullom, S Vagnozzi, AV Engelen, JV Lanen, DV Winkle, EM Vavagiakis, C Vergès, M Vissers, K Wagoner, J Ward, B Westbrook, N Whitehorn, J Williams, J Williams, EJ Wollack, Z Xu, J Ye, B Yu, C Yu, F Zago, H Zhang, N Zhu, The Simons Observatory: Science goals and forecasts, 2018,

P Collaboration, N Aghanim, Y Akrami, MIR Alves, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, R-R Chary, HC Chiang, LPL Colombo, C Combet, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, R Fernandez-Cobos, K Ferrière, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, G Green, A Gruppuso, JE Gudmundsson, V Guillet, W Handley, FK Hansen, G Helou, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, P Natoli, L Pagano, D Paoletti, G Patanchon, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, I Ristorcelli, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, A Zacchei, A Zonca, Planck 2018 results. XII. Galactic astrophysics using polarized dust emission, 2018,

P Collaboration, Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, C Gauthier, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, D Herranz, E Hivon, DC Hooper, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, V Lindholm, M Lpez-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PD Meerburg, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, S Mitra, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, M Münchmeyer, P Natoli, HU Nørgaard-Nielsen, L Pagano, D Paoletti, B Partridge, G Patanchon, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, M Shiraishi, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, SDM White, A Zacchei, JP Zibin, A Zonca, Planck 2018 results. X. Constraints on inflation, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, R Fernandez-Cobos, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, F Levrier, A Lewis, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, P Natoli, L Pagano, D Paoletti, B Partridge, G Patanchon, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. VIII. Gravitational lensing, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, J Chluba, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, M Farhang, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, P Lemos, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, M Lilley, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, M Martinelli, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, M Millea, S Mitra, M-A Miville-Deschênes, D Molinari, L Montier, G Morgante, A Moss, P Natoli, HU Nørgaard-Nielsen, L Pagano, D Paoletti, B Partridge, G Patanchon, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, T Trombetti, L Valenziano, J Valiviita, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. VI. Cosmological parameters, 2018,

P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, F Couchot, BP Crill, F Cuttaia, PD Bernardis, AD Rosa, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, S Henrot-Versillé, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, A Melchiorri, A Mennella, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, S Mottet, P Natoli, L Pagano, D Paoletti, B Partridge, G Patanchon, L Patrizii, O Perdereau, F Perrotta, V Pettorino, F Piacentini, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, G Roudier, L Salvati, M Sandri, M Savelainen, D Scott, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Toffolatti, M Tomasi, M Tristram, T Trombetti, J Valiviita, F Vansyngel, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, A Zonca, Planck 2018 results. III. High Frequency Instrument data processing and frequency maps, 2018,

P Collaboration, Y Akrami, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, J Carron, B Casaponsa, A Challinor, HC Chiang, LPL Colombo, C Combet, D Contreras, BP Crill, F Cuttaia, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, F-X Désert, ED Valentino, C Dickinson, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, J Fergusson, R Fernandez-Cobos, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, J Hamann, W Handley, FK Hansen, G Helou, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, A Karakci, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, L Knox, N Krachmalnicoff, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, M Langer, A Lasenby, M Lattanzi, CR Lawrence, ML Jeune, JP Leahy, J Lesgourgues, F Levrier, A Lewis, M Liguori, PB Lilje, M Lilley, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, A Marcos-Caballero, M Maris, PG Martin, E Martínez-González, S Matarrese, N Mauri, JD McEwen, PD Meerburg, PR Meinhold, A Melchiorri, A Mennella, M Migliaccio, M Millea, S Mitra, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, A Moss, S Mottet, M Münchmeyer, P Natoli, HU Nørgaard-Nielsen, CA Oxborrow, L Pagano, D Paoletti, B Partridge, G Patanchon, TJ Pearson, M Peel, HV Peiris, F Perrotta, V Pettorino, F Piacentini, L Polastri, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, EPS Shellard, M Shiraishi, C Sirignano, G Sirri, LD Spencer, R Sunyaev, A-S Suur-Uski, JA Tauber, D Tavagnacco, M Tenti, L Terenzi, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, BV Tent, L Vibert, P Vielva, F Villa, N Vittorio, BD Wandelt, IK Wehus, M White, SDM White, A Zacchei, A Zonca, Planck 2018 results. I. Overview and the cosmological legacy of Planck, 2018,

P Collaboration, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, J-P Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, J-F Cardoso, J Carron, HC Chiang, C Combet, BP Crill, PD Bernardis, GD Zotti, J Delabrouille, J-M Delouis, ED Valentino, C Dickinson, JM Diego, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, E Falgarone, Y Fantaye, K Ferrière, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, T Ghosh, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, V Guillet, W Handley, FK Hansen, D Herranz, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, K Kiiveri, J Kim, N Krachmalnicoff, M Kunz, H Kurki-Suonio, J-M Lamarre, A Lasenby, ML Jeune, F Levrier, M Liguori, PB Lilje, V Lindholm, M López-Caniego, PM Lubin, Y-Z Ma, JF Macías-Pérez, G Maggio, D Maino, N Mandolesi, A Mangilli, PG Martin, E Martínez-González, S Matarrese, JD McEwen, PR Meinhold, A Melchiorri, M Migliaccio, M-A Miville-Deschênes, D Molinari, A Moneti, L Montier, G Morgante, P Natoli, L Pagano, D Paoletti, V Pettorino, F Piacentini, G Polenta, J-L Puget, JP Rachen, M Reinecke, M Remazeilles, A Renzi, G Rocha, C Rosset, G Roudier, JA Rubiño-Martín, B Ruiz-Granados, L Salvati, M Sandri, M Savelainen, D Scott, JD Soler, LD Spencer, JA Tauber, D Tavagnacco, L Toffolatti, M Tomasi, T Trombetti, J Valiviita, F Vansyngel, FV Tent, P Vielva, F Villa, N Vittorio, IK Wehus, A Zacchei, A Zonca, Planck 2018 results. XI. Polarized dust foregrounds, 2018,

T Hasebe, S Kashima, PAR Ade, Y Akiba, D Alonso, K Arnold, J Aumont, C Baccigalupi, D Barron, S Basak, S Beckman, J Borrill, F Boulanger, M Bucher, E Calabrese, Y Chinone, HM Cho, A Cukierman, DW Curtis, T de Haan, M Dobbs, A Dominjon, T Dotani, L Duband, A Ducout, J Dunkley, JM Duval, T Elleflot, HK Eriksen, J Errard, J Fischer, T Fujino, T Funaki, U Fuskeland, K Ganga, N Goeckner-Wald, J Grain, NW Halverson, T Hamada, M Hasegawa, K Hattori, M Hattori, L Hayes, M Hazumi, N Hidehira, CA Hill, G Hilton, J Hubmayr, K Ichiki, T Iida, H Imada, M Inoue, Y Inoue, KD Irwin, H Ishino, O Jeong, H Kanai, D Kaneko, N Katayama, T Kawasaki, SA Kernasovskiy, R Keskitalo, A Kibayashi, Y Kida, K Kimura, T Kisner, K Kohri, E Komatsu, K Komatsu, CL Kuo, NA Kurinsky, A Kusaka, A Lazarian, AT Lee, D Li, E Linder, B Maffei, "Concept Study of Optical Configurations for High-Frequency Telescope for LiteBIRD", Journal of Low Temperature Physics, 2018, 193:841--850, doi: 10.1007/s10909-018-1915-2

B Westbrook, PAR Ade, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, S Beckman, AN Bender, F Bianchini, D Boettger, J Borrill, S Chapman, Y Chinone, G Coppi, K Crowley, A Cukierman, T de Haan, R Dünner, M Dobbs, T Elleflot, J Errard, G Fabbian, SM Feeney, C Feng, G Fuller, N Galitzki, A Gilbert, N Goeckner-Wald, J Groh, NW Halverson, T Hamada, M Hasegawa, M Hazumi, CA Hill, W Holzapfel, L Howe, Y Inoue, G Jaehnig, A Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, M Le Jeune, AT Lee, D Leon, E Linder, L Lowry, A Madurowicz, D Mak, F Matsuda, A May, NJ Miller, Y Minami, J Montgomery, M Navaroli, H Nishino, J Peloton, A Pham, L Piccirillo, D Plambeck, D Poletti, G Puglisi, C Raum, G Rebeiz, CL Reichardt, PL Richards, H Roberts, C Ross, KM Rotermund, Y Segawa, "The POLARBEAR-2 and Simons Array Focal Plane Fabrication Status", Journal of Low Temperature Physics, 2018, 193:758--770, doi: 10.1007/s10909-018-2059-0

A Suzuki, PAR Ade, Y Akiba, D Alonso, K Arnold, J Aumont, C Baccigalupi, D Barron, S Basak, S Beckman, J Borrill, F Boulanger, M Bucher, E Calabrese, Y Chinone, S Cho, B Crill, A Cukierman, DW Curtis, T de Haan, M Dobbs, A Dominjon, T Dotani, L Duband, A Ducout, J Dunkley, JM Duval, T Elleflot, HK Eriksen, J Errard, J Fischer, T Fujino, T Funaki, U Fuskeland, K Ganga, N Goeckner-Wald, J Grain, NW Halverson, T Hamada, T Hasebe, M Hasegawa, K Hattori, M Hattori, L Hayes, M Hazumi, N Hidehira, CA Hill, G Hilton, J Hubmayr, K Ichiki, T Iida, H Imada, M Inoue, Y Inoue, KD Irwin, H Ishino, O Jeong, H Kanai, D Kaneko, S Kashima, N Katayama, T Kawasaki, SA Kernasovskiy, R Keskitalo, A Kibayashi, Y Kida, K Kimura, T Kisner, K Kohri, E Komatsu, K Komatsu, CL Kuo, NA Kurinsky, A Kusaka, A Lazarian, AT Lee, D Li, E Linder, "The LiteBIRD Satellite Mission: Sub-Kelvin Instrument", Journal of Low Temperature Physics, 2018, 193:1048--1056, doi: 10.1007/s10909-018-1947-7

Y Akrami, F Arguëso, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, J Carron, HC Chiang, C Combet, BP Crill, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, WC Jones, E Keihänen, R Keskitalo, "Planck intermediate results: LIV. the Planck multi-frequency catalogue of non-thermal sources", Astronomy and Astrophysics, 2018, 619, doi: 10.1051/0004-6361/201832888

N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, J Carron, HC Chiang, B Comis, D Contreras, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, M Gerbino, KM Górski, A Gruppuso, JE Gudmundsson, W Handley, FK Hansen, D Herranz, E Hivon, Z Huang, AH Jaffe, E Keihänen, R Keskitalo, K Kiiveri, J Kim, TS Kisner, N Krachmalnicoff, "Planck intermediate results: LIII. Detection of velocity dispersion from the kinetic Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2018, 617, doi: 10.1051/0004-6361/201731489

JF Macìas-Pérez, J Delabrouille, P De Bernardis, FR Bouchet, A Achúcarro, PAR Ade, R Allison, F Arroja, E Artal, M Ashdown, C Baccigalupi, M Ballardini, AJ Banday, R Banerji, D Barbosa, J Bartlett, N Bartolo, S Basak, JJA Baselmans, K Basu, ES Battistelli, R Battye, D Baumann, A Benoít, M Bersanelli, A Bideaud, M Biesiada, M Bilicki, A Bonaldi, M Bonato, J Borrill, F Boulanger, T Brinckmann, ML Brown, M Bucher, C Burigana, A Buzzelli, G Cabass, ZY Cai, M Calvo, A Caputo, CS Carvalho, FJ Casas, G Castellano, A Catalano, A Challinor, I Charles, J Chluba, DL Clements, S Clesse, S Colafrancesco, I Colantoni, D Contreras, A Coppolecchia, M Crook, G D Alessandro, G D Amico, AD Silva, M De Avillez, G De Gasperis, MD Petris, G De Zotti, L Danese, FX Désert, V Desjacques, ED Valentino, C Dickinson, JM Diego, S Doyle, R Durrer, "Exploring cosmic origins with CORE: Survey requirements and mission design", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/04/014

P Natoli, M Ashdown, R Banerji, J Borrill, A Buzzelli, G De Gasperis, J Delabrouille, E Hivon, D Molinari, G Patanchon, L Polastri, M Tomasi, FR Bouchet, S Henrot-Versillé, DT Hoang, R Keskitalo, K Kiiveri, T Kisner, V Lindholm, D McCarthy, F Piacentini, O Perdereau, G Polenta, M Tristram, A Achucarro, P Ade, R Allison, C Baccigalupi, M Ballardini, AJ Banday, J Bartlett, N Bartolo, S Basak, D Baumann, M Bersanelli, A Bonaldi, M Bonato, F Boulanger, T Brinckmann, M Bucher, C Burigana, ZY Cai, M Calvo, CS Carvalho, MG Castellano, A Challinor, J Chluba, S Clesse, I Colantoni, A Coppolecchia, M Crook, G D Alessandro, P De Bernardis, GD Zotti, ED Valentino, JM Diego, J Errard, S Feeney, R Fernandez-Cobos, F Finelli, F Forastieri, S Galli, R Genova-Santos, "Exploring cosmic origins with CORE: Mitigation of systematic effects", Journal of Cosmology and Astroparticle Physics, 2018, 2018, doi: 10.1088/1475-7516/2018/04/022

2017

PAR Ade, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, D Beck, F Bianchini, D Boettger, J Borrill, S Chapman, Y Chinone, K Crowley, A Cukierman, R Dünner, M Dobbs, A Ducout, T Elleflot, J Errard, G Fabbian, SM Feeney, C Feng, T Fujino, N Galitzki, A Gilbert, N Goeckner-Wald, JC Groh, G Hall, N Halverson, T Hamada, M Hasegawa, M Hazumi, CA Hill, L Howe, Y Inoue, G Jaehnig, AH Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, ML Jeune, AT Lee, EM Leitch, D Leon, E Linder, L Lowry, F Matsuda, T Matsumura, Y Minami, J Montgomery, M Navaroli, H Nishino, H Paar, J Peloton, ATP Pham, D Poletti, G Puglisi, CL Reichardt, PL Richards, C Ross, Y Segawa, BD Sherwin, M Silva-Feaver, P Siritanasak, N Stebor, R Stompor, A Suzuki, O Tajima, S Takakura, "A Measurement of the Cosmic Microwave Background B-mode Polarization Power Spectrum at Subdegree Scales from Two Years of polarbear Data", Astrophysical Journal, 2017, 848, doi: 10.3847/1538-4357/aa8e9f

Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, FK Hansen, G Helou, S Henrot-Versillé, "Planck intermediate results: LII. Planet flux densities", Astronomy and Astrophysics, 2017, 607, doi: 10.1051/0004-6361/201630311

N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, A Challinor, HC Chiang, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, J González-Nuevo, KM Górski, S Gratton, A Gruppuso, JE Gudmundsson, D Herranz, E Hivon, "Planck intermediate results: LI. Features in the cosmic microwave background temperature power spectrum and shifts in cosmological parameters", Astronomy and Astrophysics, 2017, 607, doi: 10.1051/0004-6361/201629504

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, HC Chiang, LPL Colombo, C Combet, B Comis, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, M Giard, J González-Nuevo, KM Górski, "Planck intermediate results: L. Evidence of spatial variation of the polarized thermal dust spectral energy distribution and implications for CMB B-mode analysis", Astronomy and Astrophysics, 2017, 599, doi: 10.1051/0004-6361/201629164

S Takakura, M Aguilar, Y Akiba, K Arnold, C Baccigalupi, D Barron, S Beckman, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, A Ducout, T Elleflot, J Errard, G Fabbian, T Fujino, N Galitzki, N Goeckner-Wald, NW Halverson, M Hasegawa, K Hattori, M Hazumi, C Hill, L Howe, Y Inoue, AH Jaffe, O Jeong, D Kaneko, N Katayama, B Keating, R Keskitalo, T Kisner, N Krachmalnicoff, A Kusaka, AT Lee, D Leon, L Lowry, F Matsuda, T Matsumura, M Navaroli, H Nishino, H Paar, J Peloton, D Poletti, G Puglisi, CL Reichardt, C Ross, P Siritanasak, A Suzuki, O Tajima, S Takatori, G Teply, "Performance of a continuously rotating half-wave plate on the POLARBEAR telescope", Journal of Cosmology and Astroparticle Physics, 2017, 2017, doi: 10.1088/1475-7516/2017/05/008

D Poletti, G Fabbian, M Le Jeune, J Peloton, K Arnold, C Baccigalupi, D Barron, S Beckman, J Borrill, S Chapman, Y Chinone, A Cukierman, A Ducout, T Elleflot, J Errard, S Feeney, N Goeckner-Wald, J Groh, G Hall, M Hasegawa, M Hazumi, C Hill, L Howe, Y Inoue, AH Jaffe, O Jeong, N Katayama, B Keating, R Keskitalo, T Kisner, A Kusaka, AT Lee, D Leon, E Linder, L Lowry, F Matsuda, M Navaroli, H Paar, G Puglisi, CL Reichardt, C Ross, P Siritanasak, N Stebor, B Steinbach, R Stompor, A Suzuki, O Tajima, G Teply, N Whitehorn, "Making maps of cosmic microwave background polarization for B-mode studies: The POLARBEAR example", Astronomy and Astrophysics, 2017, 600, doi: 10.1051/0004-6361/201629467

2016

PAR Ade, N Aghanim, Y Akrami, PK Aluri, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoit, A Benoit-Levy, J-P Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, J-F Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P de Bernardis, A de Rosa, G de Zotti, J Delabrouille, F-X Desert, JM Diego, H Dole, S Donzelli, O Dore, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Ensslin, HK Eriksen, Y Fantaye, J Ferguson, R Fernandez-Cobos, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, A Frolov, S Galeotta, S Galli, K Ganga, C Gauthier, T Ghosh, M Giard, Y Giraud-Heraud, E Gjerlow, J Gonzalez-Nuevo, KM Gorski, S Gratton, A Gregorio, A Gruppuso, JE Gudmundsson, FK Hansen, D Hanson, DL Harrison, S Henrot-Versille, C Hernandez-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, WA Holmes, A Hornstrup, W Hovest, Z Huang, KM Huffenberger, G Hurier, AH Jaffe, TR Jaffe, WC Jones, M Juvela, E Keihanen, R Keskitalo, J Kim, TS Kisner, J Knoche, M Kunz, H Kurki-Suonio, G Lagache, A Lahteenmaki, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, R Leonardi, J Lesgourgues, F Levrier, M Liguori, PB Lilje, M Linden-Vornle, H Liu, M Lopez-Caniego, PM Lubin, JF Macias-Perez, G Maggio, D Maino, N Mandolesi, A Mangilli, D Marinucci, M Maris, PG Martin, E Martinez-Gonzalez, S Masi, S Matarrese, P McGehee, PR Meinhold, A Melchiorri, L Mendes, A Mennella, M Migliaccio, K Mikkelsen, S Mitra, M-A Miville-Deschenes, D Molinari, A Moneti, L Montier, G Morgante, D Mortlock, A Moss, D Munshi, JA Murphy, P Naselsky, F Nati, P Natoli, CB Netterfield, HU Norgaard-Nielsen, F Noviello, D Novikov, I Novikov, CA Oxborrow, F Paci, L Pagano, F Pajot, N Pant, D Paoletti, F Pasian, G Patanchon, TJ Pearson, O Perdereau, L Perotto, F Perrotta, V Pettorino, F Piacentini, M Piat, E Pierpaoli, D Pietrobon, S Plaszczynski, E Pointecouteau, G Polenta, L Popa, GW Pratt, G Prezeau, S Prunet, J-L Puget, JP Rachen, R Rebolo, M Reinecke, M Remazeilles, C Renault, A Renzi, I Ristorcelli, G Rocha, C Rosset, M Rossetti, A Rotti, G Roudier, JA Rubino-Martin, B Rusholme, M Sandri, D Santos, M Savelainen, G Savini, D Scott, MD Seiffert, EPS Shellard, T Souradeep, LD Spencer, V Stolyarov, R Stompor, R Sudiwala, R Sunyaev, D Sutton, A-S Suur-Uski, J-F Sygnet, JA Tauber, L Terenzi, L Toffolatti, M Tomasi, M Tristram, T Trombetti, M Tucci, J Tuovinen, L Valenziano, J Valiviita, B Van Tent, P Vielva, F Villa, LA Wade, BD Wandelt, IK Wehus, D Yvon, A Zacchei, JP Zibin, A Zonca, P Collaboration, "Planck 2015 results XVI. Isotropy and statistics of the CMB", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526681

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, HC Chiang, PR Christensen, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, "Planck intermediate results: XXXVIII. E- and B-modes of dust polarization from the magnetized filamentary structure of the interstellar medium", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526506

PAR Ade, N Aghanim, M Arnaud, M Ashdown, E Aubourg, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Giard, E Gjerløw, "Planck intermediate results: XXXVII. Evidence of unbound gas from the kinetic Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526328

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, R Barrena, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, I Bikmaev, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, R Burenin, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, HC Chiang, G Chon, PR Christensen, DL Clements, LPL Colombo, C Combet, B Comis, BP Crill, A Curto, F Cuttaia, H Dahle, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, A Ferragamo, F Finelli, O Forni, M Frailis, AA Fraisse, "Planck intermediate results: XXXVI. Optical identification and redshifts of Planck SZ sources with telescopes at the Canary Islands observatories", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201526345

PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, D Falceta-Gonçalves, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, "Planck intermediate results: XXXV. Probing the role of the magnetic field in the formation of structure in molecular clouds", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201525896

N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, "Planck intermediate results: XXXIV. The magnetic field structure in the Rosette Nebula", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201525616

PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, O Berné, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, "Planck intermediate results: XXXIII. Signature of the magnetic field geometry of interstellar filaments in dust polarization maps", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425305

M Arnaud, M Ashdown, F Atrio-Barandela, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, J Bobin, JR Bond, J Borrill, FR Bouchet, CL Brogan, C Burigana, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, S Donzelli, O Doré, X Dupac, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, M Giard, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, FK Hansen, DL Harrison, C Hernández-Monteagudo, D Herranz, SR Hildebrandt, "Planck intermediate results: XXXI. Microwave survey of Galactic supernova remnants", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425022

R Adam, PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, "Planck intermediate results: XXX. The angular power spectrum of polarized dust emission at intermediate and high Galactic latitudes", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425034

PAR Ade, N Aghanim, MIR Alves, G Aniano, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, BT Draine, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, "Planck intermediate results: XXIX. All-sky dust modelling with Planck, IRAS, and WISE observations", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201424945

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Levy, J-P Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, RC Butler, E Calabrese, J-F Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P de Bernardis, A de Rosa, G de Zotti, J Delabrouillel, C Dickinson, JM Diego, H Dole, S Donzelli, O Dore, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Ensslin, HK Eriksen, E Falgarone, K Ferriere, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejse, S Galeotta, S Gai, K Ganga, T Ghosh, M Giard, E Gjerlow, J Gonzalez-Nuevo, KM Gorski, A Gregorio, A Gruppuso, V Guillet, K Hansen, D Hanson, DL Harrison, S Henrot-Versille, C Hernandez-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, WA Holmes, W Hovest, KM Huffenberger, G Hurier, AH Jaffe, TR Jaffe, WC Jones, M Juvela, E Keihanen, R Keskitalo, TS Kisner, R Kneiss, J Knoche, M Kunz, H Kurki-Suonio, G Lagache, J-M Lamarre, A Lasenby, M Lattanzi, CR Lawrence, R Leonardi, F Levrier, M Liguori, PB Lilje, M Linden-Vornle, M Lopez-Caniego, PM Lubin, JF Macias-Perez, B Maffei, D Maino, N Mandolesi, M Maris, DJ Marshal, PG Martin, E Martinez-Gonzalez, S Masi, S Matarrese, P Mazzotta, A Melchiorri, L Mendes, A Mennella, M Migliaccio, M-A Miville-Descheness, A Moneti, L Montier, G Morgante, D Mortlock, D Munshi, JA Murphy, P Naselsky, P Natoli, HU Norgaard-Nielsen, F Noviello, D Novikov, I Novikov, N Oppermann, CA Oxborrow, L Pagano, F Pajot, D Paoletti, F Pasian, O Perdereau, L Perotto, F Perrotta, V Pettorino, F Piacentini, M Piat, S Plaszczynski, E Pointecouteau, G Polenta, N Ponthieu, L Popa, GW Pratt, S Prunet, J-L Puget, JP Rachen, WT Reach, M Reinecke, M Remazeilles, C Renault, I Ristorcelli, G Rocha, G Roudier, JA Rubino-Martin, B Rusholme, M Sandri, D Santos, G Savini, D Scott, JD Soler, LD Spencer, V Stolyarov, R Sudiwala, R Sunyaev, D Sutton, A-S Suur-Uski, J-F Sygnet, JA Tauber, L Terenzi, L Toffolatti, M Tomasi, M Tristram, M Tucci, G Umana, L Valenziano, J Valiviita, B Van Tent, P Vielva, F Villa, LA Wade, BD Wandelt, IK Wehus, H Wiesemeyer, D Yvon, A Zacchei, A Zonca, P Collaboration, "Planck intermediate results XXXII. The relative orientation between the magnetic field and structures traced by interstellar dust", Astronomy and Astrophysics, 2016, 586, doi: 10.1051/0004-6361/201425044

A Suzuki, P Ade, Y Akiba, C Aleman, K Arnold, C Baccigalupi, B Barch, D Barron, A Bender, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, M Dobbs, A Ducout, R Dunner, T Elleflot, J Errard, G Fabbian, S Feeney, C Feng, T Fujino, G Fuller, A Gilbert, N Goeckner-Wald, J Groh, TD Haan, G Hall, N Halverson, T Hamada, M Hasegawa, K Hattori, M Hazumi, C Hill, W Holzapfel, Y Hori, L Howe, Y Inoue, F Irie, G Jaehnig, A Jaffe, O Jeong, N Katayama, J Kaufman, K Kazemzadeh, B Keating, Z Kermish, R Keskitalo, T Kisner, A Kusaka, ML Jeune, A Lee, D Leon, E Linder, L Lowry, F Matsuda, T Matsumura, N Miller, K Mizukami, J Montgomery, M Navaroli, H Nishino, J Peloton, D Poletti, G Puglisi, G Rebeiz, C Raum, C Reichardt, P Richards, C Ross, K Rotermund, Y Segawa, B Sherwin, I Shirley, P Siritanasak, N Stebor, R Stompor, J Suzuki, O Tajima, S Takada, S Takakura, S Takatori, A Tikhomirov, T Tomaru, B Westbrook, N Whitehorn, T Yamashita, A Zahn, O Zahn, "The Polarbear-2 and the Simons Array Experiments", Journal of Low Temperature Physics, 2016, 184:805--810, doi: 10.1007/s10909-015-1425-4

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, D Arzoumanian, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, "Planck intermediate results. XXXII. The relative orientation between the magnetic field and structures traced by interstellar dust", Astronomy and Astrophysics, 2016, 586:1--25,

Y Inoue, P Ade, Y Akiba, C Aleman, K Arnold, C Baccigalupi, B Barch, D Barron, A Bender, D Boettger, J Borrill, S Chapman, Y Chinone, A Cukierman, T De Haan, MA Dobbs, A Ducout, R Dunner, T Elleflot, J Errard, G Fabbian, S Feeney, C Feng, G Fuller, AJ Gilbert, N Goeckner-Wald, J Groh, G Hall, N Halverson, T Hamada, M Hasegawa, K Hattori, M Hazumi, C Hill, WL Holzapfel, Y Hori, L Howe, F Irie, G Jaehnig, A Jaffe, O Jeong, N Katayama, JP Kaufman, K Kazemzadeh, BG Keating, Z Kermish, R Keskitalo, TS Kisner, A Kusaka, M Le Jeune, AT Lee, D Leon, EV Linder, L Lowry, F Matsuda, T Matsumura, N Miller, K Mizukami, J Montgomery, M Navaroli, H Nishino, H Paar, J Peloton, D Poletti, G Puglisi, CR Raum, GM Rebeiz, CL Reichardt, PL Richards, C Ross, KM Rotermund, Y Segawa, "POLARBEAR-2: An instrument for CMB polarization measurements", Proceedings of SPIE - The International Society for Optical Engineering, 2016, 9914, doi: 10.1117/12.2231961

PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, A Catalano, HC Chiang, PR Christensen, DL Clements, LPL Colombo, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, F Finelli, I Flores-Cacho, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, "Planck intermediate results: XXXIX. the Planck list of high-redshift source candidates", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527206

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, "Planck intermediate results: XLVIII. Disentangling Galactic dust emission and cosmic infrared background anisotropies", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201629022

R Adam, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, T Ghosh, J González-Nuevo, "Planck intermediate results: XLVII. Planck constraints on reionization history", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628897

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, R Battye, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, J Carron, A Challinor, HC Chiang, LPL Colombo, C Combet, B Comis, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, F Finelli, F Forastieri, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, "Planck intermediate results: XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628890

PAR Ade, N Aghanim, HD Aller, MF Aller, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, A Catalano, HC Chiang, PR Christensen, DL Clements, LPL Colombo, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, A Ducout, X Dupac, G Efstathiou, F Elsner, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gruppuso, MA Gurwell, FK Hansen, DL Harrison, S Henrot-Versillé, "Planck intermediate results: XLV. Radio spectra of northern extragalactic radio sources", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527780

N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, E Calabrese, JF Cardoso, J Carron, HC Chiang, LPL Colombo, B Comis, D Contreras, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, S Dusini, F Elsner, TA Enßlin, HK Eriksen, Y Fantaye, F Finelli, F Forastieri, M Frailis, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, Y Giraud-Héraud, J González-Nuevo, KM Górski, A Gruppuso, JE Gudmundsson, FK Hansen, S Henrot-Versillé, "Planck intermediate results: XLIX. Parity-violation constraints from polarization data", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201629018

N Aghanim, MIR Alves, D Arzoumanian, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, K Benabed, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, A Bracco, M Bucher, C Burigana, E Calabrese, JF Cardoso, HC Chiang, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, E Di Valentino, C Dickinson, JM Diego, O Doré, M Douspis, A Ducout, X Dupac, S Dusini, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, Y Fantaye, K Ferrière, F Finelli, M Frailis, AA Fraisse, E Franceschi, A Frolov, S Galeotta, S Galli, K Ganga, RT Génova-Santos, M Gerbino, "Planck intermediate results: XLIV. Structure of the Galactic magnetic field from dust polarization maps of the southern Galactic cap", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628636

R Adam, PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, M Bersanelli, P Bielewicz, I Bikmaev, A Bonaldi, JR Bond, J Borrill, FR Bouchet, R Burenin, C Burigana, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, E Churazov, LPL Colombo, C Combet, B Comis, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, O Doré, M Douspis, A Ducout, X Dupac, F Elsner, TA Enßlin, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, RT Génova-Santos, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, "Planck intermediate results: XLIII. Spectral energy distribution of dust in clusters of galaxies", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201628522

R Adam, PAR Ade, MIR Alves, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, LPL Colombo, C Combet, F Couchot, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, K Ferrière, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, K Ganga, T Ghosh, M Giard, E Gjerløw, J González-Nuevo, KM Górski, "Planck intermediate results: XLII. Large-scale Galactic magnetic fields", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201528033

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, BP Crill, A Curto, F Cuttaia, L Danese, RJ Davis, P De Bernardis, G De Zotti, J Delabrouille, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, K Ganga, T Ghosh, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gruppuso, "Planck intermediate results: XLI. A map of lensing-induced B -modes", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527932

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, "Planck intermediate results: XL. the Sunyaev-Zeldovich signal from the Virgo cluster", Astronomy and Astrophysics, 2016, 596, doi: 10.1051/0004-6361/201527743

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, A Catalano, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, J Fergusson, F Finelli, O Forni, M Frailis, AA Fraisse, E Franceschi, A Frejsel, S Galeotta, "Planck 2015 results: XXVIII. the Planck Catalogue of Galactic cold clumps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525819

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, R Barrena, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, I Bikmaev, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, R Burenin, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, G Chon, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, H Dahle, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, "Planck 2015 results: XXVII. The second Planck catalogue of Sunyaev-Zeldovich sources", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525823

PAR Ade, N Aghanim, F Arguëso, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, C Beichman, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, M Clemens, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XXVI. The Second Planck Catalogue of Compact Sources", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526914

PAR Ade, N Aghanim, MIR Alves, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XXV. Diffuse low-frequency Galactic foregrounds", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526803

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XXIV. Cosmology from Sunyaev-Zeldovich cluster counts", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525833

PAR Ade, N Aghanim, M Arnaud, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, A Catalano, A Chamballu, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, F Finelli, I Flores-Cacho, O Forni, M Frailis, AA Fraisse, E Franceschi, S Galeotta, S Galli, "Planck 2015 results: XXIII. The thermal Sunyaev-Zeldovich effect-cosmic infrared background correlation", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527418

N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, HC Chiang, PR Christensen, E Churazov, DL Clements, LPL Colombo, C Combet, B Comis, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, "Planck 2015 results: XXII. A map of the thermal Sunyaev-Zeldovich effect", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525826

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, "Planck 2015 results: XXI. The integrated Sachs-Wolfe effect", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525831

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XX. Constraints on inflation", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525898

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, S Feeney, J Fergusson, "Planck 2015 results: XVIII. Background geometry and topology of the Universe", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525829

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XVII. Constraints on primordial non-Gaussianity", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525836

PAR Ade, N Aghanim, Y Akrami, PK Aluri, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, D Contreras, F Couchot, A Coulais, BP Crill, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XVI. Isotropy and statistics of the CMB", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526681

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XV. Gravitational lensing", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525941

PAR Ade, N Aghanim, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, HC Chiang, J Chluba, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, "Planck 2015 results: XIX. Constraints on primordial magnetic fields", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525821

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, "Planck 2015 results: XIV. Dark energy and modified gravity", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525814

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, J Chluba, PR Christensen, S Church, DL Clements, S Colombi, LPL Colombo, C Combet, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, "Planck 2015 results: XIII. Cosmological parameters", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525830

PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, G Castex, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: XII. Full focal plane simulations", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527103

N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, HC Chiang, PR Christensen, DL Clements, LPL Colombo, C Combet, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, E Di Valentino, C Dickinson, JM Diego, K Dolag, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, J Dunkley, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, "Planck 2015 results: XI. CMB power spectra, likelihoods, and robustness of parameters", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526926

R Adam, PAR Ade, N Aghanim, MIR Alves, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: X. Diffuse component separation: Foreground maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525967

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, E Falgarone, "Planck 2015 results: VIII. High Frequency Instrument data processing: Calibration and maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525820

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, JJ Bock, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, E Calabrese, JF Cardoso, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, JM Delouis, FX Désert, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, "Planck 2015 results: VII. High Frequency Instrument data processing: Time-ordered information and beams", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525844

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, RR Chary, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, "Planck 2015 results: VI. LFI mapmaking", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525813

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, P Battaglia, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, "Planck 2015 results: V. LFI calibration", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526632

R Adam, PAR Ade, N Aghanim, M Arnaud, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, B Casaponsa, G Castex, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, PR Christensen, DL Clements, S Colombi, LPL Colombo, C Combet, F Couchot, A Coulais, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, FX Désert, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, "Planck 2015 results: IX. Diffuse component separation: CMB maps", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525936

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, E Franceschi, A Frejsel, S Galeotta, S Galli, K Ganga, M Giard, Y Giraud-Héraud, "Planck 2015 results: IV. Low Frequency Instrument beams and window functions", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525809

PAR Ade, J Aumont, C Baccigalupi, AJ Banday, RB Barreiro, N Bartolo, S Basak, P Battaglia, E Battaner, K Benabed, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, A Bonaldi, L Bonavera, JR Bond, J Borrill, C Burigana, RC Butler, E Calabrese, A Catalano, PR Christensen, LPL Colombo, M Cruz, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, O Doré, A Ducout, X Dupac, F Elsner, TA Enßlin, HK Eriksen, F Finelli, M Frailis, C Franceschet, E Franceschi, S Galeotta, S Galli, K Ganga, T Ghosh, M Giard, Y Giraud-Héraud, E Gjerløw, J González-Nuevo, KM Górski, A Gregorio, A Gruppuso, FK Hansen, DL Harrison, C Hernández-Monteagudo, D Herranz, SR Hildebrandt, E Hivon, M Hobson, A Hornstrup, W Hovest, "Planck 2015 results: III. LFI systematic uncertainties", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201526998

PAR Ade, N Aghanim, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, N Bartolo, S Basak, P Battaglia, E Battaner, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, P Bielewicz, JJ Bock, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, M Bucher, C Burigana, RC Butler, E Calabrese, JF Cardoso, G Castex, A Catalano, A Chamballu, PR Christensen, S Colombi, LPL Colombo, BP Crill, A Curto, F Cuttaia, L Danese, RD Davies, RJ Davis, P De Bernardis, A De Rosa, G De Zotti, J Delabrouille, C Dickinson, JM Diego, H Dole, S Donzelli, O Doré, M Douspis, A Ducout, X Dupac, G Efstathiou, F Elsner, TA Enßlin, HK Eriksen, J Fergusson, F Finelli, O Forni, M Frailis, C Franceschet, "Planck 2015 results: II. Low Frequency Instrument data processings", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201525818

R Adam, PAR Ade, N Aghanim, Y Akrami, MIR Alves, F Arguëso, M Arnaud, F Arroja, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, AJ Banday, RB Barreiro, JG Bartlett, N Bartolo, S Basak, P Battaglia, E Battaner, R Battye, K Benabed, A Benoît, A Benoit-Lévy, JP Bernard, M Bersanelli, B Bertincourt, P Bielewicz, I Bikmaev, JJ Bock, H Böhringer, A Bonaldi, L Bonavera, JR Bond, J Borrill, FR Bouchet, F Boulanger, M Bucher, R Burenin, C Burigana, RC Butler, E Calabrese, JF Cardoso, P Carvalho, B Casaponsa, G Castex, A Catalano, A Challinor, A Chamballu, RR Chary, HC Chiang, J Chluba, G Chon, PR Christensen, S Church, M Clemens, DL Clements, S Colombi, LPL Colombo, C Combet, B Comis, D Contreras, "Planck 2015 results: I. Overview of products and scientific results", Astronomy and Astrophysics, 2016, 594, doi: 10.1051/0004-6361/201527101

Penporn Koanantakool

2018

P Koanantakool, A Ali, A Azad, A Buluç, D Morozov, L Oliker, KA Yelick, S-Y Oh, "Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation.", Proceedings of Machine Learning Research, PMLR, 2018, 84:1376--1386,

2016

P Koanantakool, A Azad, A Buluc, D Morozov, SY Oh, L Oliker, K Yelick, "Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication", Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, January 2016, 842--853, doi: 10.1109/IPDPS.2016.117

Alice Koniges

2016

Zhaoyi Meng, Alice Koniges, Yun (Helen) He, Samuel Williams, Thorsten Kurth, Brandon Cook, Jack Deslippe, and Andrea L. Bertozzi, "OpenMP Parallelization and Optimization of Graph-Based Machine Learning Algorithms", 12th International Workshop on OpenMP (iWOMP), October 2016, doi: 10.1007/978-3-319-45550-1_2

Harinarayan Krishnan

2018

P Enfedaque, H Chang, H Krishnan, S Marchesini, "GPU-based implementation of ptycho-ADMM for high performance x-ray imaging", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 10860 LN:540--553, doi: 10.1007/978-3-319-93698-7_41

YS Yu, M Farmand, C Kim, Y Liu, CP Grey, FC Strobridge, T Tyliszczak, R Celestre, P Denes, J Joseph, H Krishnan, FRNC Maia, ALD Kilcoyne, S Marchesini, TPC Leite, T Warwick, H Padmore, J Cabana, DA Shapiro, Three-dimensional localization of nanoscale battery reactions using soft X-ray tomography, Nature Communications, 2018, doi: 10.1038/s41467-018-03401-x

S Swaid, M Maat, H Krishnan, D Ghoshal, L Ramakrishnan, "Usability heuristic evaluation of scientific data analysis and visualization tools", Advances in Intelligent Systems and Computing, 2018, 607:471--482, doi: 10.1007/978-3-319-60492-3_45

Dáithí A Stone, Mark D Risser, Oliver M Angélil, Michael F Wehner, Shreyas Cholia, Noel Keen, Harinarayan Krishnan, Travis A O Brien, William D Collins, "A basis set for exploration of sensitivity to prescribed ocean conditions for estimating human contributions to extreme weather in CAM5. 1-1degree", Weather and climate extremes, 2018, 19:10--19,

RJ Pandolfi, DB Allan, E Arenholz, L Barroso-Luque, SI Campbell, TA Caswell, A Blair, F De Carlo, S Fackler, AP Fournier, G Freychet, M Fukuto, D Gürsoy, Z Jiang, H Krishnan, D Kumar, RJ Kline, R Li, C Liman, S Marchesini, A Mehta, AT N Diaye, DY Parkinson, H Parks, LA Pellouchoud, T Perciano, F Ren, S Sahoo, J Strzalka, D Sunday, CJ Tassone, D Ushizima, S Venkatakrishnan, KG Yager, P Zwart, JA Sethian, A Hexemer, "Xi-cam: a versatile interface for data visualization and analysis", Journal of Synchrotron Radiation, 2018, 25:1261--1270, doi: 10.1107/S1600577518005787

C Li, C Michel, L Seland Graff, I Bethke, G Zappa, TJ Bracegirdle, E Fischer, BJ Harvey, T Iversen, MP King, H Krishnan, L Lierhammer, D Mitchell, J Scinocca, H Shiogama, DA Stone, JJ Wettstein, Midlatitude atmospheric circulation responses under 1.5 and 2.0g°C warming and implications for regional impacts, Earth System Dynamics, Pages: 359--382 2018, doi: 10.5194/esd-9-359-2018

M Wehner, D Stone, D Mitchell, H Shiogama, E Fischer, LS Graff, VV Kharin, L Lierhammer, B Sanderson, H Krishnan, Changes in extremely hot days under stabilized 1.5 and 2.0 °c global warming scenarios as simulated by the HAPPI multi-model ensemble, Earth System Dynamics, Pages: 299--311 2018, doi: 10.5194/esd-9-299-2018

MF Wehner, KA Reed, B Loring, D Stone, H Krishnan, "Changes in tropical cyclones under stabilized 1.5 and 2.0°C global warming scenarios as simulated by the Community Atmospheric Model under the HAPPI protocols", Earth System Dynamics, 2018, 9:187--195, doi: 10.5194/esd-9-187-2018

JJ Billings, AR Bennett, J Deyton, K Gammeltoft, J Graham, D Gorin, H Krishnan, M Li, AJ McCaskey, T Patterson, R Smith, GR Watson, A Wojtowicz, The eclipse integrated computational environment, SoftwareX, Pages: 234--244 2018, doi: 10.1016/j.softx.2018.07.004

M Wehner, D Stone, H Shiogama, P Wolski, A Ciavarella, N Christidis, H Krishnan, Early 21st century anthropogenic changes in extremely hot days as simulated by the C20C+ detection and attribution multi-model ensemble, Weather and Climate Extremes, Pages: 1--8 2018, doi: 10.1016/j.wace.2018.03.001

DA Stone, MD Risser, OM Angélil, MF Wehner, S Cholia, N Keen, H Krishnan, TA O Brien, WD Collins, A basis set for exploration of sensitivity to prescribed ocean conditions for estimating human contributions to extreme weather in CAM5.1-1degree, Weather and Climate Extremes, Pages: 10--19 2018, doi: 10.1016/j.wace.2017.12.003

DA Shapiro, R Celestre, B Enders, J Joseph, H Krishnan, MA Marcus, K Nowrouzi, H Padmore, J Park, A Warwick, Y-S Yu, The COSMIC Imaging Beamline at the Advanced Light Source: a new facility for spectro-microscopy of nano-materials, Microscopy and Microanalysis, Pages: 8--11 2018, doi: 10.1017/s1431927618012485

B Enders, K Nowrouzi, H Krishnan, S Marchesini, J Park, Y-S Yu, DA Shapiro, Dataflow at the COSMIC Beamline - Stream Processing and Supercomputing, Microscopy and Microanalysis, Pages: 58--59 2018, doi: 10.1017/s1431927618012710

2017

Stone, D. A., H. Krishnan, R. Lance, S. Sippel, and M. F. Wehner, "The First and Second Hackathons of the International CLIVAR C20C+ Detection and Attribution Project", CLIVAR Exchanges, 2017,

Timmermans, B., D. Stone, M. Wehner, and H. Krishnan, "Impact of tropical cyclones on modeled wind-wave climate", Geophysical Research Letters, 2017, 44:1393-1401, doi: 10.1002/2016GL071681

O Angélil, D Stone, M Wehner, CJ Paciorek, H Krishnan, W Collins, "An independent assessment of anthropogenic attribution statements for recent extreme temperature and rainfall events", Journal of Climate, 2017, 30:5--16, doi: 10.1175/JCLI-D-16-0077.1

Benedikt J Daurer, Hari Krishnan, Talita Perciano, Filipe RNC Maia, David A Shapiro, James A Sethian, Stefano Marchesini, "Nanosurveyor: a framework for real-time data processing", Advanced structural and chemical imaging, 2017, 3:7,

M Farmand, R Celestre, P Denes, ALD Kilcoyne, S Marchesini, H Padmore, T Tyliszczak, T Warwick, X Shi, J Lee, YS Yu, J Cabana, J Joseph, H Krishnan, T Perciano, FRNC Maia, DA Shapiro, "Near-edge X-ray refraction fine structure microscopy", Applied Physics Letters, 2017, 110, doi: 10.1063/1.4975377

T Perciano, D Ushizima, H Krishnan, D Parkinson, N Larson, DM Pelt, W Bethel, F Zok, J Sethian, "Insight into 3D micro-CT data: Exploring segmentation algorithms through performance metrics", Journal of Synchrotron Radiation, 2017, 24:1065--1077, doi: 10.1107/S1600577517010955

T Perciano, D Ushizima, H Krishnan, D Parkinson, J Sethian, "FibriPy: A software environment for fiber analysis from 3D micro-computed tomography data", Advanced Materials - TechConnect Briefs 2017, 2017, 1:25--28,

DY Parkinson, DM Pelt, T Perciano, D Ushizima, H Krishnan, HS Barnard, AA MacDowell, J Sethian, "Machine learning for micro-tomography", Proceedings of SPIE - The International Society for Optical Engineering, 2017, 10391, doi: 10.1117/12.2274731

B Timmermans, D Stone, M Wehner, H Krishnan, Impact of tropical cyclones on modeled extreme wind-wave climate, Geophysical Research Letters, Pages: 1393--1401 2017, doi: 10.1002/2016GL071681

BJ Daurer, H Krishnan, T Perciano, FRNC Maia, DA Shapiro, JA Sethian, S Marchesini, Nanosurveyor: a framework for real-time data processing., Advanced structural and chemical imaging, Pages: 7 2017, doi: 10.1186/s40679-017-0039-0

2016

M. Wehner, D. Stone, H. Krishnan, K. AchutaRao, F. Castillo, "The deadly combination of heat and humidity in India and Pakistan in summer 201", Bulletin of the American Meteorological Society, 2016, 97:S81-S86, doi: 10.1175/BAMS-D-16-0145.2

Harinarayan Krishnan, Burlen Loring, Suren Byna, Michael F. Wehner, Travis A. O'Brien, Prabhat, Chris Paciorek, and Daithi Stone, "Enabling End-to-End Climate Science Workflows in High Performance Computing Environments", The AMS (American Meteorological Society) 96th Annual Meeting, January 6, 2016,

Burlen Loring, Suren Byna, Prabhat, Junmin Gu, Hari Krishnan, Michael Wehner, and Oliver Ruebel, "TECA an Extreme Event Detection and Climate Analysis Package for High Performance Computing", The AMS (American Meteorological Society) 96th Annual Meeting, January 6, 2016,

DA Agarwal, B Faybishenko, VL Freedman, H Krishnan, G Kushner, C Lansing, E Porter, A Romosan, A Shoshani, H Wainwright, A Weidmer, K Wu, "A science data gateway for environmental management", Concurrency Computation, 2016, 28:1994--2004, doi: 10.1002/cpe.3697

DM Ushizima, HA Bale, EW Bethel, P Ercius, BA Helms, H Krishnan, LT Grinberg, M Haranczyk, AA Macdowell, K Odziomek, DY Parkinson, T Perciano, RO Ritchie, C Yang, "IDEAL: Images Across Domains, Experiments, Algorithms and Learning", JOM, 2016, 68:2963--2972, doi: 10.1007/s11837-016-2098-4

SV Venkatakrishnan, KA Mohan, K Beattie, J Correa, E Dart, JR Deslippe, A Hexemer, H Krishnan, AA MacDowell, S Marchesini, SJ Patton, T Perciano, JA Sethian, R Stromsness, BL Tierney, CE Tull, D Ushizima, DY Parkinson, "Making advanced scientific algorithms and big scientific data management more accessible", IS and T International Symposium on Electronic Imaging Science and Technology, 2016, doi: 10.2352/ISSN.2470-1173.2016.19.COIMG-155

DY Parkinson, K Beattie, X Chen, J Correa, E Dart, BJ Daurer, JR Deslippe, A Hexemer, H Krishnan, AA Macdowell, FRNC Maia, S Marchesini, HA Padmore, SJ Patton, T Perciano, JA Sethian, D Shapiro, R Stromsness, N Tamura, BL Tierney, CE Tull, D Ushizima, "Real-time data-intensive computing", AIP Conference Proceedings, 2016, 1741, doi: 10.1063/1.4952921

S Marchesini, H Krishnan, BJ Daurer, DA Shapiro, T Perciano, JA Sethian, FRNC Maia, "SHARP: A distributed GPU-based ptychographic solver", Journal of Applied Crystallography, 2016, 49:1245--1252, doi: 10.1107/S1600576716008074

M Wehner, D Stone, H Krishnan, K Achutarao, F Castillo, 16. The deadly combination of heat and humidity in India and Pakistan in summer 2015, Bulletin of the American Meteorological Society, Pages: S81--S86 2016, doi: 10.1175/BAMS-D-16-0145.1

TA O Brien, WD Collins, K Kashinath, O Rübel, S Byna, J Gu, H Krishnan, PA Ullrich, Resolution dependence of precipitation statistical fidelity in hindcast simulations, Journal of Advances in Modeling Earth Systems, Pages: 976--990 2016, doi: 10.1002/2016MS000671

Wim Lavrijsen

2016

Wim Lavrijsen, Costin Iancu, Wibe Albert de Jong, Xin Chen, Karsten Schwan, "Exploiting Variability for Energy Optimization of Load Balanced Parallel Programs", EuroSys 2016, February 5, 2016,

Bryce Lelbach

2018

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 6", March 26, 2018, LBNL 2001135, doi: 10.2172/1430689

UPC++ is a C++11 library providing classes and functions that support Partitioned Global Address Space (PGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

2017

J Bachan, S Baden, D Bonachea, P Hargrove, S Hofmeyr, K Ibrahim, M Jacquelin, A Kamil, B Lelbach, B van Straalen, "UPC++ Specification v1.0, Draft 4", September 27, 2017, LBNL 2001066, doi: 10.2172/1398521

This document has been superseded by: UPC++ Specification v1.0, Draft 6 (LBNL-2001135)

UPC++ is a C++11 library providing classes and functions that support Asynchronous Partitioned Global Address Space (APGAS) programming. We are revising the library under the auspices of the DOE’s Exascale Computing Project, to meet the needs of applications requiring PGAS support. UPC++ is intended for implementing elaborate distributed data structures where communication is irregular or fine-grained. The UPC++ interfaces for moving non-contiguous data and handling memories with different optimal access methods are composable and similar to those used in conventional C++. The UPC++ programmer can expect communication to run at close to hardware speeds. The key facilities in UPC++ are global pointers, that enable the programmer to express ownership information for improving locality, one-sided communication, both put/get and RPC, futures and continuations. Futures capture data readiness state, which is useful in making scheduling decisions, and continuations provide for completion handling via callbacks. Together, these enable the programmer to chain together a DAG of operations to execute asynchronously as high-latency dependencies become satisfied.

Bryce Adelstein Lelbach, Hans Johansen, Samuel Williams, "Simultaneously Solving Swarms of Small Sparse Systems on SIMD Silicon", Parallel and Distributed Scientific and Engineering Computing (PDSEC), June 2017,

Xiaoye Li

2019

Y. Liu, W. Sid-Lakhdar, E. Rebrova, P. Ghysels, X. Sherry Li, "A Hierarchical Low-Rank Decomposition Algorithm Based on Blocked Adaptive Cross Approximation Algorithms", arXiv e-prints, January 1, 2019,

2018

H. Zhan, G. Gomes, X. S. Li, K. Madduri, A. Sim, K. Wu, "Consensus Ensemble System for Traffic Flow Prediction", IEEE Transactions on Intelligent Transportation Systems, 2018, doi: 10.1109/TITS.2018.2791505

E. Rebrova, G. Chavez, Y. Liu, P. Ghysels, X. S. Li, "A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression", IEEE IPDPSW, 2018,

Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S Li, "Highly scalable distributed-memory sparse triangular solution algorithms", 2018 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2018, 87--96,

2016

S.V. Venkatakrishnan, Jeffrey Donatelli, Dinesh Kumar, Abhinav Sarje, Sunil K. Sinha, Xiaoye S. Li, Alexander Hexemer, "A Multi-slice Simulation Algorithm for Grazing-Incidence Small-Angle X-ray Scattering", Journal of Applied Crystallography, December 2016, 49-6, doi: 10.1107/S1600576716013273

Grazing-incidence small-angle X-ray scattering (GISAXS) is an important technique in the characterization of samples at the nanometre scale. A key aspect of GISAXS data analysis is the accurate simulation of samples to match the measurement. The distorted-wave Born approximation (DWBA) is a widely used model for the simulation of GISAXS patterns. For certain classes of sample such as nanostructures embedded in thin films, where the electric field intensity variation is significant relative to the size of the structures, a multi-slice DWBA theory is more accurate than the conventional DWBA method. However, simulating complex structures in the multi-slice setting is challenging and the algorithms typically used are designed on a case-by-case basis depending on the structure to be simulated. In this paper, an accurate algorithm for GISAXS simulations based on the multi-slice DWBA theory is presented. In particular, fundamental properties of the Fourier transform have been utilized to develop an algorithm that accurately computes the average refractive index profile as a function of depth and the Fourier transform of the portion of the sample within a given slice, which are key quantities required for the multi-slice DWBA simulation. The results from this method are compared with the traditionally used approximations, demonstrating that the proposed algorithm can produce more accurate results. Furthermore, this algorithm is general with respect to the sample structure, and does not require any sample-specific approximations to perform the simulations.

Pieter Ghysels, Xiaoye S. Li, François-Henry Rouet, Samuel Williams, Artem Napov, "An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling", SIAM J. Sci. Comput. 38-5, pp. S358-S384, October 2016, doi: 10.1137/15M1010117

Abhinav Sarje, Xiaoye S Li, Nicholas Wright, "Achieving High Parallel Efficiency on Modern Processors for X-ray Scattering Data Analysis", International Workshop on Multicore Software Engineering at EuroPar, 2016,

Osni Marques, Alex Druinsky, Xiaoye S. Li, Andrew T. Barker, Panayot Vassilevski, Delyan Kalchev, "Tuning the Coarse Space Construction in a Spectral AMG Solver", ICCS 2016 (The International Conference on Computational Science), San Diego, CA, Elsevier, June 2016,

J. R. Jones, F.-H. Rouet, K. V. Lawler, E. Vecharynski, K. Z. Ibrahim, S. Williams, B. Abeln, C. Yang, C. W. McCurdy, D. J. Haxton, X. S. Li, T. N. Rescigno, "An efficient basis set representation for calculating electrons in molecules", Journal of Molecular Physics, 2016, doi: 10.1080/00268976.2016.1176262

The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.

The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.

 

The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.The method of McCurdy, Baertschy, and Rescigno, J. Phys. B, 37, R137 (2004) is generalized to obtain a straightforward, surprisingly accurate, and scalable numerical representation for calculating the electronic wave functions of molecules. It uses a basis set of product sinc functions arrayed on a Cartesian grid, and yields 1 kcal/mol precision for valence transition energies with a grid resolution of approximately 0.1 bohr. The Coulomb matrix elements are replaced with matrix elements obtained from the kinetic energy operator. A resolution-of-the-identity approximation renders the primitive one- and two-electron matrix elements diagonal; in other words, the Coulomb operator is local with respect to the grid indices. The calculation of contracted two-electron matrix elements among orbitals requires only O(N log(N)) multiplication operations, not O(N^4), where N is the number of basis functions; N = n^3 on cubic grids. The representation not only is numerically expedient, but also produces energies and properties superior to those calculated variationally. Absolute energies, absorption cross sections, transition energies, and ionization potentials are reported for one- (He^+, H_2^+ ), two- (H_2, He), ten- (CH_4) and 56-electron (C_8H_8) systems.

Terry J. Ligocki

2017

Dharshi Devendran, Daniel T. Graves, Hans Johansen,Terry Ligocki, "A Fourth Order Cartesian Grid Embedded Boundary Method for Poisson's Equation", Communications in Applied Mathematics and Computational Science, edited by Silvio Levy, May 12, 2017, 12:51-79, doi: DOI 10.2140/camcos.2017.12.51

Lin Lin

2019

Victor Yu, William Dawson, Alberto Garcia, Ville Havu, Ben Hourahine, William Huhn, Mathias Jacquelin, Weile Jia, Murat Keceli, Raul Laasner, others, Large-Scale Benchmark of Electronic Structure Solvers with the ELSI Infrastructure, Bulletin of the American Physical Society, 2019,

2018

W. Hu, M. Shao, A. Cepelloti, F. H. Jornada, L. Lin, K. Thicke, C. Yang, S. Louie, "Accelerating Optical Absorption Spectra and Exciton Energy Computation via Interpolative Separable Density Fitting", International Conference on Computational Science (ICCS2018), Lecture Notes in Computer Science, Springer, Cham, June 12, 2018, 10861:604-617, doi: 10.1007/978-3-319-93701-4_48

Meiyue Shao, Felipe H. da Jornada, Lin Lin, Chao Yang, Jack Deslippe, Steven G. Louie, "A structure preserving Lanczos algorithm for computing the optical absorption spectrum", SIAM Journal on Matrix Analysis and Applications, 2018, 39:683--711, doi: 10.1137/16M1102641

A. S. Banerjee, L. Lin, P. Suryanarayana, C. Yang, J. E. Pask, "Two-level Chebyshev filter based complementary subspace method for pushing the envelope of large-scale electronic structure calculations", J. Chem. Theory Comput., April 16, 2018, 14:2930–2946, doi: 10.1021/acs.jctc.7b01243

Mathias Jacquelin, Lin Lin, Weile Jia, Yonghua Zhao, Chao Yang, "A Left-Looking Selected Inversion Algorithm and Task Parallelism on Shared Memory Systems", Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region, January 1, 2018, 54--63,

Victor Wen-zhe Yu, Fabiano Corsetti, Alberto Garcia, William P Huhn, Mathias Jacquelin, Weile Jia, Bjorn Lange, Lin Lin, Jianfeng Lu, Wenhui Mi, others, "ELSI: A unified software interface for Kohn--Sham electronic structure solvers", Computer Physics Communications, 2018, 222:267--285,

William Huhn, Alberto Garcia, Luigi Genovese, Ville Havu, Mathias Jacquelin, Weile Jia, Murat Keceli, Raul Laasner, Yingzhou Li, Lin Lin, others, "Unified Access To Kohn-Sham DFT Solvers for Different Scales and HPC: The ELSI Project", Bulletin of the American Physical Society, American Physical Society, 2018,

Mathias Jacquelin, Lin Lin, Chao Yang, "PSelInv--A distributed memory parallel algorithm for selected inversion: The non-symmetric case", Parallel Computing, 2018, 74:84--98,

2017

W. Hu, L. Lin, R. Zhang, C. Yang, J. Yang, "Highly efficient photocatalytic water splitting over edge-modified phosphorene nanoribbons", J. Am. Chem. Soc., October 13, 2017, 139:15429–1543, doi: 10.1021/jacs.7b08474

V. Yu. F. Corsetti, A. García, W. P. Huhn, M. Jacquelin, W. Jia, B. Lange, L. Lin, J. Lu, W. Mi, A. Seifitokaldan, Á. Vazquez-Mayagoitia, C. Yang, H. Yang, V. Blum, "ELSI: A unified software interface for Kohn–Sham electronic structure solvers", Computer Physics Communications, September 7, 2017, 222:267-285, doi: 10.1016/j.cpc.2017.09.007

W. Hu, L. Lin, A. Banerjee, E. Vecharynski, C. Yang, "Adaptively compressed exchange operator for large scale hybrid density functional calculations with applications to the adsorption of water on silicene", J. Chem. Theory Comput., February 8, 2017, 13:1188–1198,

Mathias Jacquelin, Lin Lin, Chao Yang, "PSelInv—A distributed memory parallel algorithm for selected inversion: The symmetric case", ACM Transactions on Mathematical Software (TOMS), 2017, 43:21,

2016

M. Jacquelin, L. Lin and C. Yang, "A Distributed Memory Parallel Algorithm for Selected Inversion: the non-symmetric case", PMAA, December 30, 2016,

A. S. Banerjee, L. Lin, W. Hu, C. Yang and J. E. Pask, "Chebyshev polynomial filtered subspace iteration in the discontinuous Galerkin method for large-scale electronic structure calculations", Journal of Chemical Physics, October 1, 2016,

Meiyue Shao, Lin Lin, Chao Yang, Fang Liu, Felipe H. da Jornada, Jack Deslippe and Steven G. Louie, "Low rank approximation in G0W0 calculations", Science China Mathematics, June 4, 2016, 59:1593–1612, doi: 10.1007/s11425-016-0296-x

M. Jacquelin, L. Lin, W. Jia, Y. Zhao and C. Yang, "A Left-looking selected inversion algorithm and task parallelism on shared memory systems", April 9, 2016,

Wei Hu,  Lin Lin, Chao Yang, Jun Dai and Jinlong Yang, "Edge-Modi ed Phosphorene Nano ake Heterojunctions as Highly Efficient Solar Cells", Nano Lett, February 5, 2016, 16:1675–1682, doi: 10.1021/acs.nanolett.5b04593

L. Lin, Y. Saad and C. Yang, "Approximating spectral densities of large matrices", SIAM Review, February 1, 2016, 58:34–65, doi: 10.1137/130934283

P. Li, X. Liu, M. Chen, P. Lin, X. Ren, L. Lin, C. Yang, L. He, "Large-scale ab initio simulations based on systematically improvable atomic basis", Computational Materials Science, February 1, 2016, 112:503–517, doi: doi:10.1016/j.commatsci.2015.07.004

Yang Liu

2019

Y. Liu, W. Sid-Lakhdar, E. Rebrova, P. Ghysels, X. Sherry Li, "A Hierarchical Low-Rank Decomposition Algorithm Based on Blocked Adaptive Cross Approximation Algorithms", arXiv e-prints, January 1, 2019,

2018

E. Rebrova, G. Chavez, Y. Liu, P. Ghysels, X. S. Li, "A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression", IEEE IPDPSW, 2018,

A. C. Yucel, W. Sheng, C. Zhou, Y. Liu, H. Bagci, E. Michielssen, "An FMM-FFT Accelerated SIE Simulator for Analyzing EM Wave Propagation in Mine Environments Loaded With Conductors", IEEE Journal on Multiscale and Multiphysics Computational Techniques, 2018, 3:3-15,

H. Guo, Y. Liu, J. Hu, E. Michielssen, "A butterfly-based direct solver using hierarchical LU factorization for Poggio-Miller-Chang-Harrington-Wu-Tsai equations", Microwave and Optical Technology Letters, 2018, 60:1381-1387,

Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S Li, "Highly scalable distributed-memory sparse triangular solution algorithms", 2018 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2018, 87--96,

2017

Y. Liu, A. C. Yucel, H. Bagci, A. C. Gilbert, and E. Michielssen, "Wavelet-enhanced plane-wave time-domain algorithm for analysis of transient scattering from electrically large conducting objects", IEEE Trans. Antennas Propag., 2017,

Y. Liu, H. Guo, and E. Michielssen, "A HSS matrix-inspired butterfly-based direct solver for analyzing scattering from two-dimensional objects", IEEE AntennasWireless Propag. Lett., 2017,

2016

Y. Liu, A. Al-Jarro, H. Bagci, and E. Michielssen, "Parallel PWTD-accelerated explicit solution of the time domain electric field volume integral equation", IEEE Trans. Antennas Propag., 2016,

Y. Liu, A. C. Yucel, H. Bagci, and E. Michielssen, "A Scalable Parallel PWTD-Accelerated SIE Solver for Analyzing Transient Scattering From Electrically Large Objects", IEEE Trans. Antennas Propag., 2016,

Boris Lo

2016

Boris Lo, Victor Minden, Phillip Colella, "A real-space Green’s function method for the numerical solution of Maxwell’s equations", Communications in Applied Mathematics and Computational Science, August 11, 2016, 11.2:143-170, doi: 10.2140/camcos.2016.11.143

Burlen Loring

2018

MF Wehner, KA Reed, B Loring, D Stone, H Krishnan, "Changes in tropical cyclones under stabilized 1.5 and 2.0°C global warming scenarios as simulated by the Community Atmospheric Model under the HAPPI protocols", Earth System Dynamics, 2018, 9:187--195, doi: 10.5194/esd-9-187-2018

B Loring, A Myers, D Camp, EW Bethel, "Python-based in situ analysis and visualization", Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - ISAV 18, ACM Press, 2018, doi: 10.1145/3281464.3281465

2017

U Ayachit, A Bauer, EPN Duque, G Eisenhauer, N Ferrier, J Gu, KE Jansen, B Loring, Z Lukic, S Menon, D Morozov, P O Leary, R Ranjan, M Rasquin, CP Stone, V Vishwanath, GH Weber, B Whitlock, M Wolf, KJ Wu, EW Bethel, "Performance Analysis, Design Considerations, and Applications of Extreme-Scale in Situ Infrastructures", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 2017, 921--932, LBNL 1007264, doi: 10.1109/SC.2016.78

U Ayachit, B Whitlock, M Wolf, B Loring, B Geveci, D Lonie, EW Bethel, "The SENSEI generic in situ interface", Proceedings of ISAV 2016: 2nd Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017, 40--44, doi: 10.1109/ISAV.2016.13

2016

Harinarayan Krishnan, Burlen Loring, Suren Byna, Michael F. Wehner, Travis A. O'Brien, Prabhat, Chris Paciorek, and Daithi Stone, "Enabling End-to-End Climate Science Workflows in High Performance Computing Environments", The AMS (American Meteorological Society) 96th Annual Meeting, January 6, 2016,

Burlen Loring, Suren Byna, Prabhat, Junmin Gu, Hari Krishnan, Michael Wehner, and Oliver Ruebel, "TECA an Extreme Event Detection and Climate Analysis Package for High Performance Computing", The AMS (American Meteorological Society) 96th Annual Meeting, January 6, 2016,

O Rübel, B Loring, JL Vay, DP Grote, R Lehe, S Bulanov, H Vincenti, EW Bethel, "WarpIV: In Situ Visualization and Analysis of Ion Accelerator Simulations", IEEE Computer Graphics and Applications, 2016, 36:22--35, doi: 10.1109/MCG.2016.62

M Alegro, E Amaro, B Loring, H Heinsen, E Alho, L Zollei, D Ushizima, LT Grinberg, "Multimodal Whole Brain Registration: MRI and High Resolution Histology", IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2016, 634--642, doi: 10.1109/CVPRW.2016.85

Zarija Lukic

2018

A. Krolewski, K.-G. Lee, M. White, J. F. Hennawi, D. J., P. E. Nugent, Z. Lukic, C. W., A. M. Koekemoer, O. Le F\ evre, B. C., C. Maier, R. M. Rich, M. Salvato, L. Tasca, "Detection of z \tilde 2.3 Cosmic Voids from 3D Ly$\alpha$ Forest Tomography in the COSMOS Field", Astrophysical Journal, 2018, 861:60, doi: 10.3847/1538-4357/aac829

Erich Lohrmann, Zarija Lukic, Dmitriy Morozov, Juliane Mueller, "Programmable In Situ System for Iterative Workflows", Lecture Notes in Computer Science, Cham, Springer International Publishing, January 1, 2018, 10773:122--131, doi: 10.1007/978-3-319-77398-8\_7

J. Onorbe, F. B. Davies, Z. Lukic, J. F. Hennawi, D. Sorini, "Inhomogeneous Reionization Models in Cosmological Hydrodynamical Simulations", The Astrophysical Journal (in review), 2018,

T. M. Schmidt, J. F. Hennawi, K.-G. Lee, Z. Lukic, J. Onorbe, M. White, "Mapping quasar light echoes in 3D with Ly alpha forest tomography", The Astrophysical Journal (in review), 2018,

H. Hiss, M. Walther, J. F. Hennawi, J. Onorbe, J. M. O\rsquoMeara, A. Rorai, Z. Lukic, "A New Measurement of the Temperature\ndashdensity Relation of the IGM from Voigt Profile Fitting", Astrophysical Journal, 2018, 865:42, doi: 10.3847/1538-4357/aada86

M. Walther, J. Onorbe, J. F. Hennawi, Z. Lukic, "New Constraints on IGM Thermal Evolution from the Ly-alpha Forest Power Spectrum", The Astrophysical Journal (in review), 2018,

T. M. Schmidt, J. F. Hennawi, G. Worseck, F. B. Davies, Z. Lukic, J. O\ norbe, "Modeling the He II Transverse Proximity Effect: Constraints on Quasar Lifetime and Obscuration", Astrophysical Journal, 2018, 861:122, doi: 10.3847/1538-4357/aac8e4

D. Sorini, J. Onorbe, J. F. Hennawi, Z. Lukic, "A Fundamental Test for Galaxy Formation Models: Matching the Lyman-$\alpha$ Absorption Profiles of Galactic Halos Over Three Decades in Distance", Astrophysical Journal, 2018, 859:125, doi: 10.3847/1538-4357/aabb52

F. B. Davies, J. F. Hennawi, A.-C. Eilers, Z. Lukic, "A New Method to Measure the Post-reionization Ionizing Background from the Joint Distribution of Ly$\alpha$ and Ly$\beta$ Forest Transmission", Astrophysical Journal, 2018, 855:106, doi: 10.3847/1538-4357/aaaf70

Y.-Y. Mao, E. Kovacs, K. Heitmann, T. D. Uram, A. J., D. Campbell, S. A. Cora, J. DeRose, T. Matteo, S. Habib, A. P. Hearin, J. Bryce Kalmbach, K. S., F. Lanusse, Z. Lukic, R., J. A. Newman, N. Padilla, E. Paillas, A., P. M. Ricker, A. N. Ruiz, A. Tenneti, C. A., R. H. Wechsler, R. Zhou, Y. Zu, LSST Dark Energy Science Collaboration, "DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs", Astrophysical Journal Supplement, 2018, 234:36, doi: 10.3847/1538-4365/aaa6c3

2017

Jose Oñorbe, Joseph F. Hennawi, Zarija Lukić, and Michael Walther, "Constraining Reionization with the z ~ 5-6 Lyman-alpha Forest Power Spectrum: the Outlook after Planck", The Astrophysical Journal, 2017,

Frederick B. Davies, Joseph F. Hennawi, Anna-Christina Eilers, and Zarija Lukić, "A New Method to Measure the Post-Reionization Ionizing Background from the Joint Distribution of Lyman-alpha and Lyman-beta Forest Transmission", The Astrophysical Journal, 2017,

Anna-Christina Eilers, Frederick B. Davies, Joseph F. Hennawi, J. Xavier Prochaska, Zarija Lukić, and Chiara Mazzucchelli, "Implications of z ~ 6 Quasar Proximity Zones for the Epoch of Reionization and Quasar Lifetimes", The Astrophsyical Journal, 2017, 840:24,

Alex Krolewski, Khee-Gan Lee, Zarija Lukić, and Martin White, "Measuring Alignments between Galaxies and the Cosmic Web at z ~ 2-3 Using IGM Tomography", The Astrophysical Journal, 2017, 837:31,

J. O\ norbe, J. F. Hennawi, Z. Luki\ c, "Self-consistent Modeling of Reionization in Cosmological Hydrodynamical Simulations", Astrophysical Journal, 2017, 837:106, doi: 10.3847/1538-4357/aa6031

A. Rorai, J. F. Hennawi, J. O\ norbe, M. White, J. X., G. Kulkarni, M. Walther, Z. Luki\ c, K.-G. Lee, "Measurement of the small-scale structure of the intergalactic medium using close quasar pairs", Science, 2017, 356:418-422, doi: 10.1126/science.aaf9346

U Ayachit, A Bauer, EPN Duque, G Eisenhauer, N Ferrier, J Gu, KE Jansen, B Loring, Z Lukic, S Menon, D Morozov, P O Leary, R Ranjan, M Rasquin, CP Stone, V Vishwanath, GH Weber, B Whitlock, M Wolf, KJ Wu, EW Bethel, "Performance Analysis, Design Considerations, and Applications of Extreme-Scale in Situ Infrastructures", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 2017, 921--932, LBNL 1007264, doi: 10.1109/SC.2016.78

T. M. Schmidt, G. Worseck, J. F. Hennawi, J. X., N. H. M. Crighton, Z. Lukic, J. Onorbe, "Statistical Detection of the HeII Transverse Proximity Effect: Evidence for Sustained Quasar Activity for $\gt$25 Million Years", Frontiers in Astronomy and Space Sciences, 2017, 4:23, doi: 10.3389/fspas.2017.00023

J. O\ norbe, J. F. Hennawi, Z. Lukic, M. Walther, "Constraining Reionization with the z ~ 5-6 Ly-alpha Forest Power Spectrum: The Outlook after Planck", Astrophysical Journal, 2017, 847:63, doi: 10.3847/1538-4357/aa898d

M. Mustafa, D. Bard, W. Bhimji, Z. Lukic, R. Al-Rfou, J. Kratochvil, "CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks", Computational Astrophysics and Cosmology (in review), 2017,

A.-C. Eilers, F. B. Davies, J. F. Hennawi, J. X., Z. Lukic, C. Mazzucchelli, "Implications of z ~ 6 Quasar Proximity Zones for the Epoch of Reionization and Quasar Lifetimes", Astrophysical Journal, 2017, 840:24, doi: 10.3847/1538-4357/aa6c60

A. Krolewski, K.-G. Lee, Z. Lukic, M. White, "Measuring Alignments between Galaxies and the Cosmic Web at z~ 2-3 Using IGM Tomography", Astrophysical Journal, 2017, 837:31, doi: 10.3847/1538-4357/837/1/31

2016

A. Aghamousa et al., "The DESI Experiment Part I: Science,Targeting, and Survey Design", arXiv:1611.00036, 2016,

A. Aghamousa et al., "The DESI Experiment Part II: Instrument Design", arXiv:1611.00037, 2016,

Brian Friesen, Ann Almgren, Zarija Lukić, Gunther Weber, Dmitriy Morozov, Vincent Beckner, Marcus Day, "In situ and in-transit analysis of cosmological simulations", Computational Astrophysics and Cosmology, 2016, 3 (4):1-18,

Daniele Sorini, José Oñorbe, Zarija Lukić, Joseph Hennawi, "Modeling the Lyman-alpha Forest in Collisionless Simulations", The Astrophysical Journal, 2016, 827:97,

S. Habib, R. Roser, R. Gerber, K. Antypas, K. Riley, T. Williams, J. Wells, T. Straatsma, A. Almgren, J. Amundson, S. Bailey, D. Bard, K. Bloom, B. Bockelman, A. Borgland, J. Borrill, R. Boughezal, R. Brower, B. Cowan, H. Finkel, N. Frontiere, S. Fuess, L. Ge, N. Gnedin, S. Gottlieb, O. Gutsche, T. Han, K. Heitmann, S. Hoeche, K. Ko, O. Kononenko, T. LeCompte, Z. Li, Z. Lukic, W. Mori, P. Nugent, C.-K. Ng, G. Oleynik, B. O'Shea, N. Padmanabhan, D. Petravick, F.J. Petriello, J. Power, J. Qiang, L. Reina, T.J. Rizzo, R. Ryne, M. Schram, P. Spentzouris, D. Toussaint, J.-L. Vay, B. Viren, F. Wurthwein, L. Xiao, "ASCR/HEP Exascale Requirements Review Report", arXiv:1603.09303, 2016,

Salman Habib, Adrian Pope, Hal Finkel, Nicholas Frontiere, Katrin Heitmann, David Daniel, Patricia Fasel, Vitali Morozov, George Zagaris, Tom Peterka, Venkatram Vishwanath, Zarija Lukić, Saba Sehrish, Wei-keng Liao, "HACC: Simulating sky surveys on state-of-the-art supercomputing architectures", New Astronomy, 2016, 42:49,

D Morozov, Z Lukić, "Master of puppets: Cooperative multitasking for in situ processing", HPDC 2016 - Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016, 285--288, doi: 10.1145/2907294.2907301

Kamesh Madduri

2017

Bei Wang, Stephane Ethier, William Tang, Khaled Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, "Modern Gyrokinetic Particle-in-cell Simulation of Fusion Plasmas on Top Supercomputers", International Journal of High-Performance Computing Applications (IJHPCA), May 2017, doi: https://doi.org/10.1177/1094342017712059

Stefano Marchesini

2019

Stefano Marchesini, Anne Sakdinawat, "Shaping Coherent X-rays with Binary Optics", Optics Express Vol. 27, Issue 2, pp. 907-917 (2019), January 21, 2019,

2018

Huibin Chang, Stefano Marchesini, "Denoising Poisson phaseless measurements via orthogonal dictionary learning", Optics express, 2018, 26:19773--197,

Huibin Chang, Pablo Enfedaque, Yifei Lou, Stefano Marchesini, "Partially Coherent Ptychography by Gradient Decomposition of the Probe", Acta Cryst. A74, 2018, 157-169,

P Enfedaque, H Chang, H Krishnan, S Marchesini, "GPU-based implementation of ptycho-ADMM for high performance x-ray imaging", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 10860 LN:540--553, doi: 10.1007/978-3-319-93698-7_41

Huibin Chang, Yifei Lou, Yuping Duan, Stefano Marchesini, "Total Variation--Based Phase Retrieval for Poisson Noise Removal", SIAM Journal on Imaging Sciences, 2018, 11:24--55,

Huibin Chang, Stefano Marchesini, Yifei Lou, Tieyong Zeng, "Variational phase retrieval with globally convergent preconditioned proximal algorithm", SIAM Journal on Imaging Sciences, 2018, 11:56--93,

2017

Benedikt J Daurer, Hari Krishnan, Talita Perciano, Filipe RNC Maia, David A Shapiro, James A Sethian, Stefano Marchesini, "Nanosurveyor: a framework for real-time data processing", Advanced structural and chemical imaging, 2017, 3:7,

Michael Chen, Dilworth Parkinson, Singanallur Venkatakrishnan, Stefano Marchesini, Laura Waller, "Data Efficient X-ray Phase Tomography with Self-calibrated Sandpaper Analyzer", Computational Optical Sensing and Imaging, 2017, CW2B--2,

M Farmand, R Celestre, P Denes, ALD Kilcoyne, S Marchesini, H Padmore, T Tyliszczak, T Warwick, X Shi, J Lee, YS Yu, J Cabana, J Joseph, H Krishnan, T Perciano, FRNC Maia, DA Shapiro, "Near-edge X-ray refraction fine structure microscopy", Applied Physics Letters, 2017, 110, doi: 10.1063/1.4975377

2016

Stefano Marchesini, Yu-Chao Tu, Hau-tieng Wu, "Alternating projection, ptychographic imaging and phase synchronization", Applied and Computational Harmonic Analysis, 2016, 41:815--851,

Stefano Marchesini, Hari Krishnan, David A Shapiro, Talita Perciano, James A Sethian, Benedikt J Daurer, Filipe RNC Maia, "SHARP: a distributed, GPU-based ptychographic solver", arXiv preprint arXiv:1602.01448, 2016,

Osni Marques

2018

R. Van Beeumen, O. Marques, E.G. Ng, C. Yang, Z. Bai, L. Ge, O. Kononenko, Z. Li, C.-K. Ng, L. Xiao, "Computing resonant modes of accelerator cavities by solving nonlinear eigenvalue problems via rational approximation", Journal of Computational Physics, 2018, 374:1031-1043, doi: 10.1016/j.jcp.2018.08.017

2016

Osni Marques, Paulo B. Vasconcelos, "Computing the Bidiagonal SVD through an Associated Tridiagonal Eigenproblem", VECPAR 2016, Porto, Portugal, Springer, June 2016,

Naoya Nomura, Akihiro Fujii, Teruo Tanaka, Kengo Nakajima, Osni Marques, "Performance Analysis of SA-AMG Method by Setting Extracted Near-kernel Vectors", VECPAR 2016, Porto, Portugal, Springer, June 2016,

Osni Marques, Alex Druinsky, Xiaoye S. Li, Andrew T. Barker, Panayot Vassilevski, Delyan Kalchev, "Tuning the Coarse Space Construction in a Spectral AMG Solver", ICCS 2016 (The International Conference on Computational Science), San Diego, CA, Elsevier, June 2016,

Daniel F. Martin

2019

Daniel Martin, Modeling Antarctic Ice Sheet Dynamics using Adaptive Mesh Refinement, 2019 SIAM Conference on Computational Science and Engineering, February 26, 2019,

Daniel F. Martin, Stephen L. Cornford, Antony J. Payne, "Millennial‐scale Vulnerability of the Antarctic Ice Sheet to Regional Ice Shelf Collapse", Geophysical Research Letters, January 9, 2019, doi: 10.1029/2018gl081229

Abstract: 

The Antarctic Ice Sheet (AIS) remains the largest uncertainty in projections of future sea level rise. A likely climate‐driven vulnerability of the AIS is thinning of floating ice shelves resulting from surface‐melt‐driven hydrofracture or incursion of relatively warm water into subshelf ocean cavities. The resulting melting, weakening, and potential ice‐shelf collapse reduces shelf buttressing effects. Upstream ice flow accelerates, causing thinning, grounding‐line retreat, and potential ice sheet collapse. While high‐resolution projections have been performed for localized Antarctic regions, full‐continent simulations have typically been limited to low‐resolution models. Here we quantify the vulnerability of the entire present‐day AIS to regional ice‐shelf collapse on millennial timescales treating relevant ice flow dynamics at the necessary ∼1km resolution. Collapse of any of the ice shelves dynamically connected to the West Antarctic Ice Sheet (WAIS) is sufficient to trigger ice sheet collapse in marine‐grounded portions of the WAIS. Vulnerability elsewhere appears limited to localized responses.

Plain Language Summary:

The biggest uncertainty in near‐future sea level rise (SLR) comes from the Antarctic Ice Sheet. Antarctic ice flows in relatively fast‐moving ice streams. At the ocean, ice flows into enormous floating ice shelves which push back on their feeder ice streams, buttressing them and slowing their flow. Melting and loss of ice shelves due to climate changes can result in faster‐flowing, thinning and retreating ice leading to accelerated rates of global sea level rise.To learn where Antarctica is vulnerable to ice‐shelf loss, we divided it into 14 sectors, applied extreme melting to each sector's floating ice shelves in turn, then ran our ice flow model 1000 years into the future for each case. We found three levels of vulnerability. The greatest vulnerability came from attacking any of the three ice shelves connected to West Antarctica, where much of the ice sits on bedrock lying below sea level. Those dramatic responses contributed around 2m of sea level rise. The second level came from four other sectors, each with a contribution between 0.5‐1m. The remaining sectors produced little to no contribution. We examined combinations of sectors, determining that sectors behave independently of each other for at least a century.

2018

Dan Martin, Brent Minchew, Stephen Price, Esmond Ng, Modeling Marine Ice Cliff Instability: Higher resolution leads to lower impact, AGU Fall Meeting, December 12, 2018,

Dan Martin, Ice sheet model-dependence of persistent ice-cliff formation, European Geosciences Union General Assembly 2018, April 11, 2018,

M. S. Waibel, C. L. Hulbe, C. S. Jackson, D. F. Martin, "Rate of Mass Loss Across the Instability Threshold for Thwaites Glacier Determines Rate of Mass Loss for Entire Basin", Geophysical Research Letters, February 19, 2018, 45:809-816, doi: 10.1002/2017GL076470

Daniel F Martin, Xylar Asay-Davis, Jan De Rydt,, "Sensitivity of Ice-Ocean coupling to interactions with subglacial hydrology", AGU 2018 Ocean Sciences Meeting,, February 14, 2018,