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All Publications

2020

L. Jin, A. Lazar, J. Sears, A. Todd, A. Sim, K. Wu, C. A. Spurlock, "Life Course as a Contextual System to Investigate the Effects of Life Events, Gender, and Generation on Travel Mode Use", Transportation Research Board (TRB) 99th Annual Meeting, 2020,

2019

D. Ghosal, S. Shukla, A. Sim, A. V. Thakur, K. Wu, "A Reinforcement Learning Based Network Scheduler For Deadline-Driven Data Transfers", IEEE Global Communications Conference (GLOBECOM 2019), 2019,

Tuowen Zhao, Mary Hall, Samuel Williams, Hans Johansen, "Exploiting Reuse and Vectorization in Blocked Stencil Computations on CPUs and GPUs", Supercomputing (SC), November 2019,

Paul H. Hargrove, Dan Bonachea, "Efficient Active Message RMA in GASNet Using a Target-Side Reassembly Protocol (Extended Abstract)", IEEE/ACM Parallel Applications Workshop, Alternatives To MPI (PAW-ATM), Lawrence Berkeley National Laboratory Technical Report, November 17, 2019, LBNL 2001‍238, doi: 10.25344/S4PC7M

GASNet 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 investigates strategies for efficient implementation of GASNet’s “AM Long” API that couples an RMA (Remote Memory Access) transfer with an Active Message (AM) delivery.
We discuss several network-level protocols for AM Long and propose a new target-side reassembly protocol. We present a microbenchmark evaluation on the Cray XC Aries network hardware. The target-side reassembly protocol on this network improves AM Long end-to-end latency by up to 33%, and the effective bandwidth by up to 49%, while also enabling asynchronous source completion that drastically reduces injection overheads.
The improved AM Long implementation for Aries is available in GASNet-EX release v2019.9.0 and later.

Mark Adams, Stephen Cornford, Daniel Martin, Peter McCorquodale, "Composite matrix construction for structured grid adaptive mesh refinement", Computer Physics Communications, November 2019, 244:35-39, doi: 10.1016/j.cpc.2019.07.006

Alexandra Ballow, Alina Lazar (Advisor), Alex Sim (Advisor), Kesheng Wu (Advisor), "Handling Missing Values in Joint Sequence Analysis", ACM Richard Tapia Celebration of Diversity in Computing (TAPIA 2019), ACM Student Research Competition (SRC), First place winner, 2019,

Reinhard Gentz, Sean Peisert, Joshua Boverhof, Daniel Gunter, "SPARCS: Stream-Processing Architecture applied in Real-time Cyber-physical Security", Proceedings of the 15th IEEE International Conference on e-Science (eScience), San Diego, CA, IEEE, September 2019,

Reinhard Gentz, Héctor García Martin, Edward Baidoo, Sean Peisert, "Workflow Automation in Liquid Chromatography Mass Spectrometry", Proceedings of the 15th IEEE International Conference on e-Science (eScience), San Diego, CA, IEEE, September 2019,

John Bachan, Scott Baden, Dan Bonachea, Paul Hargrove, Steven Hofmeyr, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ v1.0 Specification, Revision 2019.9.0", Lawrence Berkeley National Laboratory Tech Report, September 14, 2019, LBNL 2001237, doi: 10.25344/S4ZW2C

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, Mathias Jacquelin, Amir Kamil, Brian van Straalen, "UPC++ v1.0 Programmer’s Guide, Revision 2019.9.0", Lawrence Berkeley National Laboratory Tech Report, September 14, 2019, LBNL 2001236, doi: 10.25344/S4V30R

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.

Doru Thom Popovici, Devangi N. Parikh, Daniele G. Spampinato, Tze Meng Low, "Exploiting Symmetries of Small Prime-Sized DFTs", PPAM 2019, 2019,

Timur Takhtaganov, Zarija Lukić, Juliane Mueller, Dmitriy Morozov, "Cosmic Inference: Constraining Parameters With Observations and Highly Limited Number of Simulations", Astrophysical Journal (in review), 2019,

D. Fan, A. Nonaka, A.S. Almgren, A. Harpole, M. Zingale, "MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver", August 14, 2019,

M. Zingale, M.P. Katz, J.B. Bell, M.L. Minion, A.J. Nonaka, W. Zhang, "Improved Coupling of Hydrodynamics and Nuclear Reactions via Spectral Deferred Corrections", August 14, 2019,

Knut Sverdrup, Ann S. Almgren, Nikolaos Nikiforakis, "An embedded boundary approach for efficient simulations of viscoplastic fluids in three dimensions", August 10, 2019,

L. Esclapez, V. Ricchiuti, J.B. Bell, M.S. Day, "A spectral deferred correction strategy for low Mach number flows subject to electric fields", August 10, 2019,

D. R. Ladiges, A. J. Nonaka, J. B. Bell, A. L. Garcia, "On the Suppression and Distortion of Non-Equilibrium Fluctuations by Transpiration", August 10, 2019, doi: 10.1063/1.5093922

A. Donev, A. J. Nonaka, C. Kim, A. L. Garcia, J. B. Bell, "Fluctuating hydrodynamics of electrolytes at electroneutral scales", August 10, 2019,

N. T. Wimer, M. S. Day, C. Lapointe, A. S. Makowiecki, J. F. Glusman, J. W. Daily, G. B. Rieker, P. E. Hamlington, "High-resolution numerical simulations of a large-scale helium plume using adaptive mesh refinement", August 10, 2019,

M. T. Henry de Frahan, S. Yellapantula, R. King, M. S. Day, R. W. Grout, "Deep learning for presumed probability density function models", August 10, 2019,

D. Dasgupta, W. Sun, M. Day, A. Aspden, T. Lieuwen, "Analysis of chemical pathways for n-dodecane/air turbulent premixed flames", August 10, 2019,

M. Zingale, K. Eiden, Y. Cavecchi, A. Harpole, J. B. Bell, M. Chang, I. Hawke, M. P. Katz, C.M. Malone, A. J. Nonaka, D. E. Willcox, W. Zhang, "Toward resolved simulations of burning fronts in thermonuclear X-ray bursts", Journal of Physics: Conference Series, 2019, 1225,

A. J. Aspden, M. S. Day, J. B. Bell, "Towards the Distributed Burning Regime in Turbulent Premixed Flames", Journal of Fluid Mechanics, 2019, 871:1-21,

J. Bell, M. Day, J. Goodman, R. Grout, M. Morzfeld, "A Bayesian approach to calibrating hydrogen flame kinetics using many experiments and parameters", Combustion and Flame, 2019,

Ciaran Roberts, Anna Scaglione, Mahdi Jamei, Reinhard Gentz, Sean Peisert, Emma M. Stewart, Chuck McParland, Alex McEachern, Daniel Arnold, "Learning Behavior of Distribution System Discrete Control Devices for Cyber-Physical Security", IEEE Transaction on Smart Grid, July 31, 2019, doi: 0.1109/TSG.2019.2936016

Anna Giannakou, Dipankar Dwivedi, Sean Peisert, "A Machine Learning Approach for Packet Loss Prediction in ScienceFlows", Future Generation Computer Systems, July 2019, doi: 10.1016/j.future.2019.07.053

Bin Dong, Patrick Frank Heiner Kilian, Xiaocan Li, Fan Guo, Suren Byna and Kesheng Wu, "Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study", SSDBM 2019, July 23, 2019,

Samuel Williams, Charlene Yang, Khaled Ibrahim, Thorsten Kurth, Nan Ding, Jack Deslippe, Leonid Oliker, "Performance Analysis using the Roofline Model", SciDAC PI Meeting, July 2019,

Melissa Stockman, Dipankar Dwivedi, Reinhard Gentz, Sean Peisert, "Detecting Programmable Logic Controller Code Using Machine Learning", International Journal of Critical Infrastructure Protection, July 2019, doi: 10.1016/j.ijcip.2019.100306

Hannah E. Ross, Keri L. Dixon, Raghunath Ghara, Ilian T. Iliev, Garrelt Mellema,, "Evaluating the QSO contribution to the 21-cm signal from the Cosmic Dawn", Monthly Notices of the Royal Astronomical Society, July 2019, 487:1101-1119, doi: 10.1093/mnras/stz1220

J. Onorbe, F. B. Davies, Z. Lukić, J. F. Hennawi, D. Sorini, "Inhomogeneous Reionization Models in Cosmological Hydrodynamical Simulations", Monthly Notices of Royal Astronomical Society, 2019, 486:4075, doi: 10.1093/mnras/stz984

H. Sung, J. Bang, A. Sim, K. Wu, H. Eom, "Understanding Parallel I/O Performance Trends Under Various HPC Configurations", the 2nd International Workshop on Systems and Network Telemetry and Analytics (SNTA 2019), in conjunction with ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2019), 2019, doi: 10.1145/3322798.3329258

M. Jin, Y. Homma, A. Sim, W. Kroeger, K. Wu, "Performance Prediction for Data Transfers in LCLS Workflow", the 2nd International Workshop on Systems and Network Telemetry and Analytics (SNTA 2019), in conjunction with ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2019), 2019, doi: 10.1145/3322798.3329254

O. Del Guercio, R. Orozco, A. Sim, K. Wu, "Similarity-based Compression with Multidimensional Pattern Matching", the 2nd International Workshop on Systems and Network Telemetry and Analytics (SNTA 2019), in conjunction with ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2019), 2019, doi: 10.1145/3322798.3329252

A. Syal, A. Lazar, J. Kim, K. Wu, A. Sim, "Automatic Detection of Network Traffic Anomalies and Changes", the 2nd International Workshop on Systems and Network Telemetry and Analytics (SNTA 2019), in conjunction with ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2019), 2019, doi: 10.1145/3322798.3329255

Marquita Ellis, Giulia Guidi, Aydın Buluç, Leonid Oliker, Katherine Yelick, "diBELLA: Distributed Long Read to Long Read Alignment", 48th International Conference on Parallel Processing (ICPP), June 25, 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,

Sambit Shukla, Dipak Ghosal, Kesheng Wu, Alex Sim, Matthew Farrens, "Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters", IEEE International Conference on Fog and Mobile Edge Computing (FMEC2019), 2019,

Vikram Khaire, Michael Walther, Joseph F. Hennawi, Jose Oñorbe, Zarija Lukić, Xavier J. Prochaska, Todd M. Tripp, Joseph N. Burchett, Christian Rodriguez, "The power spectrum of the Lyman-α Forest at z < 0.5", Monthly Notices of the Royal Astronomical Society, 2019, 486:769, doi: 10.1093/mnras/stz344

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.

Elliott Binder, Tze Meng Low, Doru Thom Popovici, "Portable GPU Framework for SNP Comparisons", HiCOMB 2019, 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,

Weiqun Zhang, Ann Almgren, Vince Beckner, John Bell, Johannes Blashke, Cy Chan, Marcus Day, Brian Friesen, Kevin Gott, Daniel Graves, Max P. Katz, Andrew Myers, Tan Nguyen, Andrew Nonaka, Michele Rosso, Samuel Williams, Michael Zingale, "AMReX: a framework for block-structured adaptive mesh refinement", Journal of Open Source Software, May 2019, doi: 10.21105/joss.01370

Charlene Yang, Thorsten Kurth, Samuel Williams, "Hierarchical Roofline Analysis for GPUs: Accelerating Performance Optimization for the NERSC-9 Perlmutter System", Cray User Group (CUG), May 2019,

Wenjing Ma, Yulong Ao, Chao Yang, Samuel Williams, "Solving a trillion unknowns per second with HPGMG on Sunway TaihuLight", Cluster Computing, May 2019, doi: 10.1007/s10586-019-02938-w

M. Mustafa, D. Bard, W. Bhimji, Z. Lukić, R. Al-Rfou, J. Kratochvil, "CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks", Computational Astrophysics and Cosmology, 2019, 6:1, doi: 10.1186/s40668-019-0029-9

Anastasiia Butko, George Michelogiannakis, David Donofrio, John Shalf, "Extending classical processors to support future large scale quantum accelerators", Proceedings of the 16th ACM International Conference on Computing Frontiers Pages, April 2019,

Anastasiia Butko, George Michelogiannakis, David Donofrio, John Shalf, "TIGER: topology-aware task assignment approach using ising machines", Proceedings of the 16th ACM International Conference on Computing Frontiers, April 2019,

Boris Lo, Phillip Colella, "An Adaptive Local Discrete Convolution Method for the Numerical Solution of Maxwell's Equations", Communications in Applied Mathematics and Computational Science, April 26, 2019, 14:105-119, doi: DOI: 10.2140/camcos.2019.14.105

Doru Thom Popovici, Martin D. Schatz, Franz Franchetti, Tze Meng Low, "A Flexible Framework for Parallel Multi-Dimensional DFTs", April 23, 2019,

B. Peng, R. Van Beeumen, D. B. Williams-Young, K. Kowalski and C. Yang, "\Approximate Green's Function Coupled Cluster Method Employing E ective Dimension Reduction", Journal, April 15, 2019, 15:3185-3196, doi: https://doi.org/10.1021/acs.jctc.9b00172

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

D.F. Martin, H.S. Johansen, P.O. Schwartz, E.G. Ng, "Improved Discretization of Grounding Lines and Calving Fronts using an Embedded-Boundary Approach in BISICLES", European Geosciences Union General Assembly, April 10, 2019,

J. Kim, A. Sim, B. Tierney, S. Suh, I. Kim, "Multivariate Network Traffic Analysis using Clustered Patterns", Journal of Computing, April 2019, 101(4):339-361, doi: 10.1007/s00607-018-0619-4

J. Kim, A. Sim, "A new approach to multivariate network traffic analysis", Journal of Computer Science and Technology, 2019, 34(2):388–402, doi: 10.1007/s11390-019-1915-y

Dilip Vasudevan ; George Michclogiannakis ; David Donofrio ; John Shalf, "PARADISE - Post-Moore Architecture and Accelerator Design Space Exploration Using Device Level Simulation and Experiments", IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), March 2019,

Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu, "Multidimensional Compression with Pattern Matching", Data Compression Conference (DCC), 2019,

11242 2019 1266 Fig3 HTML

Sergi Molins, David Trebotich, Bhavna Arora, Carl Steefel, Hang Deng, "Multi-scale Model of Reactive Transport in Fractured Media: Diffusion Limitations on Rates", Transport in Porous Media, March 20, 2019, 128:701-721, doi: 10.1007/s11242-019-01266-2

Sean Peisert, Brooks Evans, Michael Liang, Barclay Osborn, David Rusting, David Thurston, Security Without Moats and Walls: Zero-Trust Networking for Enhancing Security in R&E Environments, CENIC Annual Conference, March 19, 2019,

Charlene Yang, Samuel Williams, Performance Analysis of GPU-Accelerated Applications using the Roofline Model, GPU Technology Conference (GTC), March 2019,

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.

A. Lazar, L. Jin, C. A. Spurlock, K. Wu, A. Sim, A. Todd, "Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization", ACM Journal of Data and Information Quality, 2019, 11:7:1-7:22, doi: 10.1145/3301294

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,

Alexandra Ballow, Alina Lazar, Alex Sim, Kesheng Wu, "Joint Sequence Analysis Challenges: How to Handle Missing Values and Mixed Variable Types", SIAM Conference on Computational Science and Engineering (CSE19), 2019,

Tyler Leibengood, Alina Lazar, Alex Sim, Kesheng Wu, "Network Traffic Performance Prediction with Multivariate Clusters in Time Windows", SIAM Conference on Computational Science and Engineering (CSE19), 2019,

Daniel Martin, Modeling Antarctic Ice Sheet Dynamics using Adaptive Mesh Refinement, 2019 SIAM Conference on Computational Science and Engineering, February 26, 2019,

Samuel Williams, Performance Modeling and Analysis, CS267 Lecture, University of California at Berkeley, February 14, 2019,

Sean Peisert, Experiences in Building a Mission-Driven Security R&D Program for Science and Energy, Computer Science Colloquium Seminar, University of California, Davis, February 7, 2019,

George Michelogiannakis, Jeremiah Wilke, Min Yee Teh, Madeleine Glick, John Shalf, Keren Bergman, "Challenges and opportunities in system-level evaluation of photonics", Proceedings Volume 10946, Metro and Data Center Optical Networks and Short-Reach Links II, February 2019, doi: https://doi.org/10.1117/12.2510443

Sean Peisert, Daniel Arnold, Using Physics to Improve Cybersecurity for the Distribution Grid and Distributed Energy Resources, Naval Postgraduate School, February 5, 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. Walther, J. Onorbe, J. F. Hennawi, Z. Lukić, "New Constraints on IGM Thermal Evolution from the Ly-alpha Forest Power Spectrum", The Astrophysical Journal, 2019, 872:13, doi: 10.3847/1538-4357/aafad1

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,

Yu-Hang Tang, Wibe A. de Jong, "Prediction of atomization energy using graph kernel and active learning", The Journal of Chemical Physics, January 25, 2019, 150:044107, doi: 10.1063/1.5078640

Sean Peisert, Building a Mission-Driven, Applied Cybersecurity R&D Program from Scratch, VISA Research, January 23, 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,

Sebastian Götschel , Michael Minion, "An Efficient Parallel-in-Time Method for Optimization with Parabolic PDEs", SIAM Journal on Scientific Computing, January 21, 2019,

In submission

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

Samuel Williams, Introduction to the Roofline Model, Roofline Tutorial, ECP Annual Meeting, January 2019,

Samuel Williams, Roofline on CPU-based Systems, Roofline Tutorial, ECP Annual Meeting, January 2019,

Jack Deslippe, Optimization Use Cases with the Roofline Model, Roofline Tutorial, ECP Annual Meeting, January 2019,

Charlene Yang, Performance Analysis with Roofline on GPUs, Roofline Tutorial, ECP Annual Meeting, January 2019,

George Michelogiannakis, Computation and Communication in a Post Moore’s Law Era, Post Exascale workshop part of HiPEAC conference, 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,

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,

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, 2019,

Screen Shot 2019 02 25 at 8.59.45 AM

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.

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

Mariam Kiran, Anshuman Chhabra, "Understanding flows in high-speed scientific networks: A Netflow data study", Future Generation Computer Science, 2019,

E. Y. Hsiao, M. M. Phiilips, G. H. Marion, R. P., N. Morrell, D. J. Sand, C. R. Burns, C., P. Hoeflich, M. D. Stritzinger, S., J. P. Anderson, C. Ashall, C. Baltay, E., D. P. K. Banerjee, S. Davis, T. R. Diamond, G., W. L. Freedman, F. Foerster, L., C. Gall, S. Gonzalez-Gaitan, A., M. Hamuy, S. Holmbo, M. M. Kasliwal, K., S. Kumar, C. Lidman, J. Lu, P. E., S. Perlmutter, S. E. Persson, A. L., D. Rabinowitz, M. Roth, S. D. Ryder, B. P., M. Shahbandeh, N. B. Suntzeff, F. Taddia, S. Uddin, L. Wang, Carnegie Supernova Project-II: The Near-infrared Spectroscopy Program, Publications of the ASP, Pages: 014002 2019, doi: 10.1088/1538-3873/aae961

M. M. Phillips, C. Contreras, E. Y. Hsiao, N., C. R. Burns, M. Stritzinger, C. Ashall, W. L., P. Hoeflich, S. E. Persson, A. L., N. B. Suntzeff, S. A. Uddin, J. Anais, E., L. Busta, A. Campillay, S. Castell\ on, C., T. Diamond, C. Gall, C. Gonzalez, S., K. Krisciunas, M. Roth, J. Ser\ on, F., S. Torres, J. P. Anderson, C. Baltay, G., L. Galbany, A. Goobar, E. Hadjiyska, M., M. Kasliwal, C. Lidman, P. E. Nugent, S., D. Rabinowitz, S. D. Ryder, B. P. Schmidt, B. J. Shappee, E. S. Walker, "Carnegie Supernova Project-II: Extending the Near-infrared Hubble Diagram for Type Ia Supernovae to z\nbsp\sim\nbsp0.1", Publications of the ASP, 2019, 131:014001, doi: 10.1088/1538-3873/aae8bd

O Karslıoğlu, M Gehlmann, J Müller, S Nemšák, JA Sethian, A Kaduwela, H Bluhm, C Fadley, "An Efficient Algorithm for Automatic Structure Optimization in X-ray Standing-Wave Experiments", Journal of Electron Spectroscopy and Related Phenomena, January 1, 2019,

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

W. Langhans, J. Mueller, W.D. Collins, "Optimization of the Eddy-Diffusivity/Mass-Flux shallow cumulus and boundary-layer parametrization using surrogate models", Journal of Advances in Modeling Earth Systems (JAMES), 2019,

Catherine A Watkinson, Sambit K. Giri, Hannah E. Ross, Keri L. Dixon, Ilian T. Iliev, Garrelt Mellema, Jonathan R. Pritchard, "The 21-cm bispectrum as a probe of non-Gaussianities due to X-ray heating", Monthly Notices of the Royal Astronomical Society, January 2019, 482:2653-2669, doi: 10.1093/mnras/sty2740

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,

R. Oguz Selvitopi, Gunduz Vehbi Demirci, Ata Turk, Cevdet Aykanat, "Locality-aware and load-balanced static task scheduling for MapReduce", Future Generation Computer Systems (FGCS), January 2019, 90:49-61, doi: https://doi.org/10.1016/j.future.2018.06.035

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,

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

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

O. Erbilgin, O. Rübel, K. B. Louie, M. Trinh, M. de Raad, T. Wildish, D. W. Udwary, C. A. Hoover,, "MAGI: A Bayesian-like method for metabolite, annotation, and gene integration", bioRxiv, December 19, 2018, doi: 10.1101/204362

Y. Li, Z. Wen, C. Yang, Y. Yuan, "A Semi-smooth Newton Method For semidefinite programs and its applications in electronic structure calculations", SIAM J. Sci. Comput., December 18, 2018, 40:A4131–A415, doi: 10.1137/18M1188069

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,

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,

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,

Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger, "Detecting Anomalies in the LCLS Workflow", 3rd workshop on Open Science in Big Data (OSBD 2018), in conjunction with IEEE International Conference on Big Data (Big Data 2018), 2018, doi: 10.1109/bigdata.2018.8622334

A. Lazar, K. Wu, A. Sim, "Predicting Network Traffic Using TCP Anomalies", IEEE International Conference on Big Data (Big Data 2018), 2018, doi: 10.1109/bigdata.2018.8622522

Kade Gibson, Dongeun Lee, Jaesik Choi, Alex Sim, "Dynamic Online Performance Optimization in Streaming Data Compression", IEEE International Conference on Big Data (Big Data 2018), 2018, doi: 10.1109/bigdata.2018.8621867

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,

Seher Acer, R. Oguz Selvitopi, Cevdet Aykanat, "Optimizing nonzero-based sparse matrix partitioning models via reducing latency", Journal of Parallel and Distributed Computing (JPDC), December 2018, 122:145-158, doi: https://doi.org/10.1016/j.jpdc.2018.08.005

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

Tze Meng Low, Daniele G. Spampinato, Anurag Kutuluru, Upasana Sridhar, Doru Thom Popovici, Franz Franchetti, Scott McMillan, "Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices", HPEC, 2018,

Shichao Sun, David B. Williams-Young, Torin F. Stetina, Xiaosong Li, "Generalized Hartree-Fock with a Non-perturbative Treatment of Strong Magnetic Fields: Application to Molecular Spin Phase Transitions", Journal of Chemical Theory and Computation, 2018, 51:348-356, doi: 10.1021/acs.jctc.8b01140

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,

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,

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.

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,

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,

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,

Karen Tu, Alex Sim (Advisor), John Wu (Advisor), "Identification of Network Data Transfer Bottlenecks in HPC Systems", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’18), ACM Student Research Competition (SRC), 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.

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

Hongzhang Shan, Samuel Williams, Calvin W. Johnson, "Improving MPI Reduction Performance for Manycore Architectures with OpenMP and Data Compression", Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), November 2018,

Samuel Williams, Introduction to the Roofline Model, Supercomputing, November 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,

I. Monga, C. Guok, J. MacAuley, A. Sim, H. Newman, J. Balcas, P. DeMar, L. Winkler, T. Lehman, X. Yang, "SDN for End-to-end Networked Science at the Exascale (SENSE)", Innovate the Network for Data-Intensive Science Workshop (INDIS 2018), in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'18), 2018, doi: 10.1109/INDIS.2018.00007

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, doi: 10.1109/INDIS.2018.00004

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,

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,

Gianina Alina Negoita, James P. Vary, Glenn R. Luecke, Pieter Maris, Andrey M. Shirokov, Ik Jae Shin, Youngman Kim, Esmond G. Ng, Chao Yang, Matthew Lockner, Gurpur M. Prabhu, "Deep Learning: Extrapolation Tool for Ab Initio Nuclear Theory", CoRR, November 10, 2018,

Sean Peisert, Usable Computer Security and Privacy to Enable and Encourage Data Sharing for Scientific Research, National Academies of Sciences, Engineering, and Medicine Committee on Science, Engineering, Medicine, and Public Policy (COSEMPUP) Meeting, November 8, 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

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,

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,

Chris Kavouklis, Phillip Colella, "Computation of volume potentials on structured grids with the method of local corrections", Communications in Applied Mathematics and Computational Science, October 31, 2018, 14:1-32, doi: DOI: 10.2140/camcos.2019.14.1

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

Mahdi Jamei, Anna Scaglione, Sean Peisert, "Low-Resolution Fault Localization Using Phasor Measurement Units with Community Detection", Proceedings of the 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Allborg, Denmark, IEEE, October 29, 2018, doi: 10.1109/SmartGridComm.2018.8587461

David P. Randall, Drew Paine, Charlotte P. Lee, "Educational Outreach & Stakeholder Role Evolution in a Cyberinfrastructure Project", 2018 IEEE 14th International Conference on e-Science, IEEE Computer Society, 2018, 201-211, doi: 10.1109/eScience.2018.00035

Franz Franchetti, Tze Meng Low, Doru Thom Popovici, Richard Michael Veras, Daniele G. Spampinato, Jeremy R. Johnson, Markus Puschel, James C. Hoe Jose M. F. Moura, "SPIRAL: Extreme Performance Portability", Proceeding of IEEE, 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,

roughness cropped

Hang Deng, Sergi Molins, David Trebotich, Carl Steefel, Donald DePaolo, "Pore-scale numerical investigation of the impacts of surface roughness: Up-scaling of reaction rates in rough fractures", Geochimica et Cosmochimica Acta, October 15, 2018, 239:374-389, doi: 10.1016/j.gca.2018.08.005

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.

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,

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

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

George Michelogiannakis, How Open Source Hardware Will Drive the Next Generation of HPC Systems, CROSS Symposium at UCSC, October 2018,

T. M. Schmidt, J. F. Hennawi, K.-G. Lee, Z. Lukić, J. Oñorbe, M. White, "Mapping quasar light echoes in 3D with Ly alpha forest tomography", The Astrophysical Journal (in review), 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.

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

George Michelogiannakis, John Shalf, Benjamin Aivazi, Yiwen Shen, Keren Bergman, Madeleine Glick, Larry Dennison, Architectural Opportunities and Challenges from Emerging Photonics in Future Systems, IEEE conference on Photonics in Switching and Computing (PSC), September 2018,

George Michelogiannakis, Benjamin Aivazi, Yiwen Shen, Larry Dennison, John Shalf, Keren Bergman, Madeleine Glick, "Architectural Opportunities and Challenges from Emerging Photonics in Future Systems", Photonics in Switching and Computing (PSC), September 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,

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,

S. Balasubramanian, D. Ghosal, K. N. Balasubramanian, E. Pouyoul, A. Sim, K. Wu, B. Tierney, "Auto-tuned Publisher in a Pub/Sub System: Design and Performance Evaluation", the 15th IEEE International Conference on Autonomic Computing (ICAC 2018), 2018, doi: 10.1109/icac.2018.00012

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

Carter KP, Jian J, Pyrch MM, Forbes TZ, Eaton TM, Abergel RJ, De Jong WA, Gibson JK, "Reductive activation of neptunyl and plutonyl oxo species with a hydroxypyridinone chelating ligand", Chemical Communications, August 30, 2018, 54:10698-1070, doi: 10.1039/C8CC05626A

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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,

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,

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Miroslav Urbanek, Pavel Soldán, "Equilibration in two-dimensional Bose systems with disorders", European Physical Journal D, 2018, 72:114, doi: 10.1140/epjd/e2018-80733-7

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

R. Kettimuthu, Z. Liu, I. Foster, P. Beckman, A. Sim, K. Wu, W. Liao, Q. Kang, A. Agrawal, A. Choudhary, "Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues", Workshop in Autonomous Infrastructure for Science (AI-Science 2018), 2018, in conjunction with the 27th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2018), 2018, doi: 10.1145/3217197.3217205

M. Yang, X. Liu, W. Kroeger, A. Sim, K. Wu, "Identifying Anomalous File Transfer Events in LCLS Workflow", Workshop in Autonomous Infrastructure for Science (AI-Science 2018), 2018, in conjunction with the 27th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC 2018), 2018, doi: 10.1145/3217197.3217203

Keren Bergman, John Shalf, George Michelogiannakis, Sebastien Rumley, Larry Dennison, Monia Ghobadi, "PINE: An Energy Efficient Flexibly Interconnected Photonic Data Center Architecture for Extreme Scalability", 31st annual conference of the IEEE Photonics Society, IEEE, June 2018,

Charlene Yang, Brian Friesen, Thorsten Kurth, Brandon Cook, Samuel Williams, "Toward Automated Application Profiling on Cray Systems", Cray User Group (CUG), May 2018,

D. Jones, J. Bopaiah, F. Alghamedy, M. Jacobs, H.L. Weiss, W.A. de Jong, S.R. Ellingson, "Polypharmacology Within the Full Kinome: a Machine Learning Approach", AMIA Jt Summits Transl Sci Proc, May 18, 2018, 2017:98-107,

Hannah E. Ross, Keri L. Dixon, Ilian T. Iliev, Garrelt Mellema, "New simulation of QSO X-ray heating during the Cosmic Dawn", Peering towards Cosmic Dawn, Proceedings of the International Astronomical Union, IAU Symposium, May 8, 2018, 333:34-38,

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,

G Conti, S Nemšák, C-T Kuo, M Gehlmann, C Conlon, A Keqi, A Rattanachata, O Karslıoğlu, J Mueller, J Sethian, H Bluhm, JE Rault, JP Rueff, H Fang, A Javey, CS Fadley, "Characterization of free-standing InAs quantum membranes by standing wave hard x-ray photoemission spectroscopy", APL Materials, May 1, 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

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,

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

T. Ke, A. S. Brewster, S. X. Yu, D. Ushizima, C. Yang, N. K. Sauter, "A convolutional neural network-based screening tool for X-ray serial crystallography", JOURNAL OF SYNCHROTRON RADIATION, April 24, 2018, 25:665-670, doi: 10.1107/S1600577518004873

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,

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

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

Dan Martin, Ice sheet model-dependence of persistent ice-cliff formation, European Geosciences Union General Assembly 2018, April 11, 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,

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,

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

Kadir Akbudak, R. Oguz Selvitopi, Cevdet Aykanat, "Partitioning Models for Scaling Parallel Sparse Matrix-Matrix Multiplication", ACM Transactions on Parallel Computing (TOPC), April 2018, 4, 3, doi: 10.1145/3155292

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.

Sean Peisert, Keynote: Cybersecurity for HPC Systems: State of the Art and Looking to the Future, High-Performance Computing Security Workshop, National Institute of Standards and Technology (NIST), March 28, 2018,

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.

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,

J. M. Kasper, D. B. Williams-Young, E. Vecharynski, C. Yang, X. Li, "A Well-Tempered Hybrid Method for Solving Challenging Time-Dependent Density Functional Theory (TDDFT) Systems", J. Chem. Theory Comput., March 16, 2018, 14:2034–2041, doi: 10.1021/acs.jctc.8b00141

Blake Barker, Rose Nguyen, Björn Sandsted, Nathaniel Ventura, Colin Wahl, "Computing Evans functions numerically via boundary-value problems", Physica D: Nonlinear Phenomena, March 15, 2018, 367:1-10, doi: https://doi.org/10.1016/j.physd.2017.12.002

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

Sean Peisert, Eli Dart, William K. Barnett, James Cuff, Robert L. Grossman, Edward Balas, Ari Berman, Anurag Shankar, Brian Tierney, "The Medical Science DMZ: An Network Design Pattern for Data-Intensive Medical Science", Journal of the American Medical Informatics Association (JAMIA), March 2018, 25(3):267-274, doi: 10.1093/jamia/ocx104

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,

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,

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,

Samuel Williams, Introduction to the Roofline Model, ECP Annual Meeting, February 8, 2018,

Jack Deslippe, Guiding Optimization on KNL with the Roofline Model, ECP Annual Meeting, February 8, 2018,

Charlene Yang, LIKWID at NERSC, ECP Annual Meeting, February 8, 2018,

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

Charlene Yang, Intel Advisor on Cori, ECP Annual Meeting, February 8, 2018,

Samuel Williams, Advisor Hand-On: Stencil Example, ECP Annual Meeting, February 8, 2018,

Sean Peisert, Ciaran Roberts, Cyber Security of Power Distribution Systems Using Micro-Synchrophasor Measurements and Cyber-Reported SCADA, EPRI Power Delivery & Utilization Winter 2018 Program Advisory & Sector Council Meeting, February 7, 2018,

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,

M. Papadopoulos, R. Van Beeumen, S. François, G. Degrande, G. Lombaert, "Modal characteristics of structures considering dynamic soil-structure interaction effects", Soil Dynamics and Earthquake Engineering, 2018, 105:114-118, doi: 10.1016/j.soildyn.2017.11.012

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,

Samuel Williams, Performance Modeling and Analysis, CS267 lecture, University of California at Berkeley, January 30, 2018,

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

George Michelogiannakis, Open-Source Hardware in the Post Moore Era, NovelHPC: Beyond Exascale: Workshop on Novel HPC Architectures (HiPEAC 2018), January 2018,

George Michelogiannakis, An Architect’s Point of View of the Post Moore Era, 3rd International Workshop on Advanced Interconnect Solutions and Technologies for Emerging Computing Systems (AISTECS with HiPEAC 2018), January 2018,

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

Yu-Hang Tang, Dongkun Zhang, George Em Karniadakis, "An atomistic fingerprint algorithm for learning ab initio molecular force fields", Journal of Chemical Physics, 2018, 148,

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,

P. Benner, H. Fessbender, C. Yang, "Some remarks on the complex J-symmetric eigenproblem", Linear Algebra and its Applications, January 14, 2018, 544:407-442, doi: 10.1016/j.laa.2018.01.014

O. Rübel, B. P. Bowen, "BASTet: Shareable and reproducible analysis and visualization of mass spectrometry imaging data via OpenMSI", IEEE Transactions on Visualization and Computer Graphics, January 12, 2018, 24,no. 1, doi: 10.1109/TVCG.2017.2744479

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,

Patrick J. Lestrange, David B. Williams-Young, Alessio Petrone, Carlos A. Jimenez-Hoyos, Xiaosong Li, "Efficient Implementation of Variation after Projection Generalized Hartree-Fock", Journal of Chemical Theory and Computation, 2018, 14:588-596, doi: 10.1021/acs.jctc.7b00832

T. Kim, J. Choi, D. Lee, A. Sim, C. A. Spurlock, A. Todd, K. Wu, "Predicting Baseline for Analysis of Electricity Pricing", International Journal of Big Data Intelligence. Special issue on Data to Decision, 2018, 5:3-20, doi: 10.1504/IJBDI.2018.10008133

Kesheng Wu, Horst D Simon, "High-Performance Computational Intelligence and Forecasting Technologies", Lawrence Berkeley National Laboratory, 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,

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

Terry Benzel and Sean Peisert, Selected Papers from the 2017 IEEE Symposium on Security and Privacy [Guest editors' introduction], IEEE Security and Privacy, Pages: 10-11 January 2018,

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

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,

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

T. M. C. Abbott, F. B. Abdalla, S. Allam, A., J. Annis, J. Asorey, S. Avila, O., M. Banerji, W. Barkhouse, L. Baruah, M., K. Bechtol, M. R. Becker, A. Benoit-L\ evy, G. M., E. Bertin, J. Blazek, S. Bocquet, D., D. Brout, E. Buckley-Geer, D. L. Burke, V., R. Campisano, L. Cardiel-Sas, A. Carnero Rosell, M. Kind, J. Carretero, F. J. Castander, R., C. Chang, X. Chen, C. Conselice, G., M. Crocce, C. E. Cunha, C. B. D\rsquoAndrea, L. N. Costa, R. Das, G. Daues, T. M. Davis, C., J. De Vicente, D. L. DePoy, J. DeRose, S., H. T. Diehl, J. P. Dietrich, S. Dodelson, P., A. Drlica-Wagner, T. F. Eifler, A. E. Elliott, A. E., A. Farahi, A. Fausti Neto, E. Fernandez, D. A., B. Flaugher, R. J. Foley, P. Fosalba, D. N., J. Frieman, J. Garc\ \ia-Bellido, E., D. W. Gerdes, T. Giannantonio, M. S. S., K. Glazebrook, D. A. Goldstein, M., D. Gruen, R. A. Gruendl, J. Gschwend, R. R., G. Gutierrez, S. Hamilton, W. G. Hartley, S. R., J. M. Hislop, D. Hollowood, K., B. Hoyle, D. Huterer, B. Jain, D. J., T. Jeltema, M. W. G. Johnson, M. D., T. Kacprzak, S. Kent, G. Khullar, M., A. Kovacs, A. M. G. Koziol, E. Krause, A., R. Kron, K. Kuehn, S. Kuhlmann, N., O. Lahav, J. Lasker, T. S. Li, R. T., A. R. Liddle, M. Lima, H. Lin, P., N. MacCrann, M. A. G. Maia, J. D., M. Manera, M. March, J. Marriner, J. L., P. Martini, T. McClintock, T., R. G. McMahon, P. Melchior, F. Menanteau, C. J., R. Miquel, J. J. Mohr, E. Morganson, J., E. Neilsen, R. C. Nichol, F. Nogueira, B., P. Nugent, L. Nunes, R. L. C. Ogando, L., A. B. Pace, A. Palmese, F. Paz-Chinch\ on, H. V., W. J. Percival, D. Petravick, A. A., J. Poh, C. Pond, A. Porredon, A., A. Refregier, K. Reil, P. M. Ricker, R. P., A. K. Romer, A. Roodman, P. Rooney, A. J., E. S. Rykoff, M. Sako, M. L. Sanchez, E., B. Santiago, A. Saro, V. Scarpine, D., S. Serrano, I. Sevilla-Noarbe, E., N. Shipp, M. L. Silveira, M. Smith, R. C., J. A. Smith, M. Soares-Santos, F., J. Song, A. Stebbins, E. Suchyta, M., M. E. C. Swanson, G. Tarle, J. Thaler, D., R. C. Thomas, M. A. Troxel, D. L. Tucker, V., A. K. Vivas, A. R. Walker, R. H. Wechsler, J., W. Wester, R. C. Wolf, H. Wu, B., A. Zenteno, Y. Zhang, J. Zuntz, Collaboration, S. Juneau, M. Fitzpatrick, R., D. Nidever, K. Olsen, A. Scott, N. Data Lab, "The Dark Energy Survey: Data Release 1", Astrophysical Journal Supplement, 2018, 239:18, doi: 10.3847/1538-4365/aae9f0

T. M. C. Abbott, F. B. Abdalla, J. Annis, K., J. Blazek, B. A. Benson, R. A. Bernstein, G. M., E. Bertin, D. Brooks, D. L. Burke, A. Rosell, M. Carrasco Kind, J. Carretero, F. J., C. L. Chang, T. M. Crawford, C. E., C. B. D Andrea, L. N. da Costa, C., J. DeRose, S. Desai, H. T. Diehl, J. P., P. Doel, A. Drlica-Wagner, A. E., E. Fernandez, B. Flaugher, P. Fosalba, J., J. Garc\ \ia-Bellido, E. Gaztanaga, D. W., T. Giannantonio, D. Gruen, R. A. Gruendl, J., G. Gutierrez, W. G. Hartley, J. W., K. Honscheid, B. Hoyle, D. Huterer, B., D. J. James, M. Jarvis, T. Jeltema, M. D., M. W. G. Johnson, E. Krause, K., S. Kuhlmann, N. Kuropatkin, O. Lahav, A. R., M. Lima, H. Lin, N. MacCrann, M. A. G., A. Manzotti, M. March, J. L. Marshall, R., J. J. Mohr, T. Natoli, P. Nugent, R. L. C., Y. Park, A. A. Plazas, C. L. Reichardt, K., A. Roodman, A. J. Ross, E. Rozo, E. S., E. Sanchez, V. Scarpine, M. Schubnell, D., I. Sevilla-Noarbe, E. Sheldon, M., R. C. Smith, M. Soares-Santos, F. Sobreira, E., G. Tarle, D. Thomas, M. A. Troxel, A. R., R. H. Wechsler, J. Weller, W. Wester, W. L. K. Wu, J. Zuntz, "Dark Energy Survey Year 1 Results: A Precise H$_0$ Estimate from DES Y1, BAO, and D/H Data", Monthly Notices of the RAS, 2018, 480:3879-3888, doi: 10.1093/mnras/sty1939

C. E. Harris, P. E. Nugent, A. Horesh, J. S. Bright, R. P., M. L. Graham, K. Maguire, M. Smith, N., S. Valenti, A. V. Filippenko, O. Fox, A. Goobar, P. L. Kelly, K. J. Shen, "Don't Blink: Constraining the Circumstellar Environment of the Interacting Type Ia Supernova 2015cp", Astrophysical Journal, 2018, 868:21, doi: 10.3847/1538-4357/aae521

K. De, M. M. Kasliwal, E. O. Ofek, T. J. Moriya, J., Y. Cao, S. B. Cenko, G. B. Doran, G. E., R. P. Fender, C. Fransson, A. Gal-Yam, A., S. R. Kulkarni, R. R. Laher, R. Lunnan, I., F. Masci, P. A. Mazzali, P. E. Nugent, D. A., T. Petrushevska, A. L. Piro, C., J. Sollerman, M. Sullivan, F. Taddia, "A hot and fast ultra-stripped supernova that likely formed a compact neutron star binary", Science, 2018, 362:201-206, doi: 10.1126/science.aas8693

T. Hung, S. Gezari, S. B. Cenko, S. van Velzen, N., L. Yan, S. R. Kulkarni, R. Lunnan, T., G. Leloudas, A. K. H. Kong, P. E. Nugent, C., R. R. Laher, F. J. Masci, Y. Cao, R. Roy, T. Petrushevska, "Sifting for Sapphires: Systematic Selection of Tidal Disruption Events in iPTF", Astrophysical Journal Supplement, 2018, 238:15, doi: 10.3847/1538-4365/aad8b1

K. De, M. M. Kasliwal, T. Cantwell, Y. Cao, S. B., A. Gal-Yam, J. Johansson, A. Kong, S. R., R. Lunnan, F. Masci, M. Matuszewski, K. P., J. D. Neill, P. E. Nugent, E. O. Ofek, Y., U. D. Rebbapragada, A. Rubin, D. O\rsquo Sullivan, O. Yaron, "iPTF 16hgs: A Double-peaked Ca-rich Gap Transient in a Metal-poor, Star-forming Dwarf Galaxy", Astrophysical Journal, 2018, 866:72, doi: 10.3847/1538-4357/aadf8e

C. Fremling, J. Sollerman, M. M. Kasliwal, S. R., C. Barbarino, M. Ergon, E. Karamehmetoglu, F., I. Arcavi, S. B. Cenko, K. Clubb, A. Cia, G. Duggan, A. V. Filippenko, A. Gal-Yam, M. L., A. Horesh, G. Hosseinzadeh, D. A., D. Kuesters, R. Lunnan, T. Matheson, P. E., D. A. Perley, R. M. Quimby, C. Saunders, Oxygen and helium in stripped-envelope supernovae, Astronomy and Astrophysics, Pages: A37 2018, doi: 10.1051/0004-6361/201731701

R. Lunnan, C. Fransson, P. M. Vreeswijk, S. E. Woosley, G., D. A. Perley, R. M. Quimby, L. Yan, N., B. D. Bue, S. B. Cenko, A. De Cia, D. O., C. U. Fremling, P. Gatkine, A. Gal-Yam, M. M., S. R. Kulkarni, F. J. Masci, P. E., A. Nyholm, A. Rubin, N. Suzuki, P. Wozniak, A UV resonance line echo from a shell around a hydrogen-poor superluminous supernova, Nature Astronomy, Pages: 887-895 2018, doi: 10.1038/s41550-018-0568-z

T. M. C. Abbott, F. B. Abdalla, A. Alarcon, J., S. Allam, S. Allen, A. Amara, J., J. Asorey, S. Avila, D. Bacon, E., M. Banerji, N. Banik, W. Barkhouse, M., E. Baxter, K. Bechtol, M. R. Becker, A., B. A. Benson, G. M. Bernstein, E., J. Blazek, S. L. Bridle, D. Brooks, D., E. Buckley-Geer, D. L. Burke, M. T. Busha, A., D. Capozzi, A. Carnero Rosell, M. Kind, J. Carretero, F. J. Castander, R., C. Chang, N. Chen, M. Childress, A., C. Conselice, R. Crittenden, M. Crocce, C. E., C. B. D Andrea, L. N. da Costa, R., T. M. Davis, C. Davis, J. De Vicente, D. L., J. DeRose, S. Desai, H. T. Diehl, J. P., S. Dodelson, P. Doel, A. Drlica-Wagner, T. F., A. E. Elliott, F. Elsner, J. Elvin-Poole, J., A. E. Evrard, Y. Fang, E. Fernandez, A., D. A. Finley, B. Flaugher, P. Fosalba, O., J. Frieman, J. Garc\ \ia-Bellido, M., M. Gatti, E. Gaztanaga, D. W., T. Giannantonio, M. S. S. Gill, K., D. A. Goldstein, D. Gruen, R. A., J. Gschwend, G. Gutierrez, S., W. G. Hartley, S. R. Hinton, K., B. Hoyle, D. Huterer, B. Jain, D. J., M. Jarvis, T. Jeltema, M. D. Johnson, M. W. G., T. Kacprzak, S. Kent, A. G. Kim, A., D. Kirk, N. Kokron, A. Kovacs, E., C. Krawiec, A. Kremin, K. Kuehn, S., N. Kuropatkin, F. Lacasa, O. Lahav, T. S., A. R. Liddle, C. Lidman, M. Lima, H., N. MacCrann, M. A. G. Maia, M. Makler, M., M. March, J. L. Marshall, P. Martini, R. G., P. Melchior, F. Menanteau, R., V. Miranda, D. Mudd, J. Muir, A., E. Neilsen, R. C. Nichol, B. Nord, P., R. L. C. Ogando, A. Palmese, J. Peacock, H. V., J. Peoples, W. J. Percival, D., A. A. Plazas, A. Porredon, J. Prat, A., M. M. Rau, A. Refregier, P. M. Ricker, N., R. P. Rollins, A. K. Romer, A. Roodman, R., A. J. Ross, E. Rozo, E. S. Rykoff, M., A. I. Salvador, S. Samuroff, C. S\ anchez, E., B. Santiago, V. Scarpine, R. Schindler, D., L. F. Secco, S. Serrano, I. Sevilla-Noarbe, E., R. C. Smith, M. Smith, J. Smith, M., F. Sobreira, E. Suchyta, G., D. Thomas, M. A. Troxel, D. L. Tucker, B. E., S. A. Uddin, T. N. Varga, P. Vielzeuf, V., A. K. Vivas, A. R. Walker, M. Wang, R. H., J. Weller, W. Wester, R. C. Wolf, B., F. Yuan, A. Zenteno, B. Zhang, Y., J. Zuntz, Dark Energy Survey Collaboration, Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing, Physical Review D, Pages: 043526 2018, doi: 10.1103/PhysRevD.98.043526

K.-G. Lee, A. Krolewski, M. White, D. Schlegel, P. E., J. F. Hennawi, T. M\ uller, R., J. X. Prochaska, A. Font-Ribera, N. Suzuki, K., G. G. Kacprzak, J. S. Kartaltepe, A. M., O. Le F\ evre, B. C. Lemaux, C., T. Nanayakkara, R. M. Rich, D. B. Sanders, M. Salvato, L. Tasca, K.-V. H. Tran, First Data Release of the COSMOS Ly$\alpha$ Mapping and Tomography Observations: 3D Ly$\alpha$ Forest Tomography at 2.05 $\lt$ z $\lt$ 2.55, Astrophysical Journal Supplement, Pages: 31 2018, doi: 10.3847/1538-4365/aace58

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

C. Contreras, M. M. Phillips, C. R. Burns, A. L., B. J. Shappee, M. D. Stritzinger, C., P. J. Brown, E. Conseil, A. Klotz, P. E., D. Turpin, S. Parker, D. Rabinowitz, E. Y., N. Morrell, A. Campillay, S. Castell\ on, C., C. Gonz\ alez, K. Krisciunas, J., B. E. Tucker, E. S. Walker, E., C. Cain, M. J. Childress, G. Folatelli, W. L., M. Hamuy, P. Hoeflich, S. E. Persson, R. Scalzo, B. Schmidt, N. B. Suntzeff, SN 2012fr: Ultraviolet, Optical, and Near-infrared Light Curves of a Type Ia Supernova Observed within a Day of Explosion, Astrophysical Journal, Pages: 24 2018, doi: 10.3847/1538-4357/aabaf8

C. Frohmaier, M. Sullivan, K. Maguire, P. Nugent, "The Volumetric Rate of Calcium-rich Transients in the Local Universe", Astrophysical Journal, 2018, 858:50, doi: 10.3847/1538-4357/aabc0b

M. Rigault, Y. Copin, G. Aldering, P. Antilogus, C., S. Bailey, C. Baltay, S. Bongard, C., A. Canto, F. Cellier-Holzem, M. Childress, N., H. K. Fakhouri, U. Feindt, M. Fleury, E., P. Greskovic, J. Guy, A. G. Kim, M., S. Lombardo, J. Nordin, P. Nugent, R., E. P\ econtal, R. Pereira, S. Perlmutter, D., K. Runge, C. Saunders, R. Scalzo, G., C. Tao, R. C. Thomas, B. A. Weaver, Nearby Supernova Factory, "Evidence of environmental dependencies of Type Ia supernovae from the Nearby Supernova Factory indicated by local H$\alpha$ (Corrigendum)", Astronomy and Astrophysics, 2018, 612:C1, doi: 10.1051/0004-6361/201322104e

S. M. Adams, N. Blagorodnova, M. M. Kasliwal, R., T. Barlow, B. Bue, M. Bulla, Y., S. B. Cenko, D. O. Cook, R. Ferretti, O. D., C. Fremling, S. Gezari, A. Goobar, A. Y. Q., T. Hung, E. Karamehmetoglu, S. R. Kulkarni, T., R. R. Laher, F. J. Masci, A. A. Miller, J. D., P. E. Nugent, J. Sollerman, F. Taddia, R. Walters, "iPTF Survey for Cool Transients", Publications of the ASP, 2018, 130:034202, doi: 10.1088/1538-3873/aaa356

D. A. Goldstein, P. E. Nugent, D. N. Kasen, T. E. Collett, "Precise Time Delays from Strongly Gravitationally Lensed Type Ia Supernovae with Chromatically Microlensed Images", Astrophysical Journal, 2018, 855:22, doi: 10.3847/1538-4357/aaa975

R. M. Quimby, A. De Cia, A. Gal-Yam, G. Leloudas, R., D. A. Perley, P. M. Vreeswijk, L., J. S. Bloom, S. B. Cenko, J. Cooke, R., A. V. Filippenko, M. M. Kasliwal, I. K. W., S. R. Kulkarni, T. Matheson, P. E., Y.-C. Pan, J. M. Silverman, A. Sternberg, M. Sullivan, O. Yaron, Spectra of Hydrogen-poor Superluminous Supernovae from the Palomar Transient Factory, Astrophysical Journal, Pages: 2 2018, doi: 10.3847/1538-4357/aaac2f

A. Y. Q. Ho, S. R. Kulkarni, P. E. Nugent, W., F. Rusu, S. B. Cenko, V. Ravi, M. M., D. A. Perley, S. M. Adams, E. C., P. Brady, C. Fremling, A. Gal-Yam, D. A., D. Kaplan, R. R. Laher, F. Masci, E. O. Ofek, J. Sollerman, A. Urban, "iPTF Archival Search for Fast Optical Transients", Astrophysical Journal Letters, 2018, 854:L13, doi: 10.3847/2041-8213/aaaa62

M. Smith, M. Sullivan, R. C. Nichol, L. Galbany, C. B., C. Inserra, C. Lidman, A. Rest, M., A. V. Filippenko, W. Zheng, S. B. Cenko, C. R., P. J. Brown, T. M. Davis, D. A. Finley, R. J., S. Gonz\ alez-Gait\ an, C. P. Guti\ errez, R., S. Kuhlmann, J. Marriner, A. M\ oller, P. E., S. Prajs, R. Thomas, R. Wolf, A., T. M. C. Abbott, F. B. Abdalla, S., J. Annis, K. Bechtol, A. Benoit-L\ evy, E., D. Brooks, D. L. Burke, A. Carnero Rosell, M. Kind, J. Carretero, F. J. Castander, M., C. E. Cunha, L. N. da Costa, C. Davis, S., H. T. Diehl, P. Doel, T. F. Eifler, B., P. Fosalba, J. Frieman, J. Garc\ \ia-Bellido, E., D. W. Gerdes, D. A. Goldstein, D., R. A. Gruendl, J. Gschwend, G. Gutierrez, K., D. J. James, M. W. G. Johnson, K., N. Kuropatkin, T. S. Li, M. Lima, M. A. G., J. L. Marshall, P. Martini, F., C. J. Miller, R. Miquel, R. L. C. Ogando, D., A. A. Plazas, A. K. Romer, E. S. Rykoff, M., E. Sanchez, V. Scarpine, R. Schindler, M., I. Sevilla-Noarbe, R. C. Smith, M., F. Sobreira, E. Suchyta, M. E. C., G. Tarle, A. R. Walker, DES Collaboration, Studying the Ultraviolet Spectrum of the First Spectroscopically Confirmed Supernova at Redshift Two, Astrophysical Journal, Pages: 37 2018, doi: 10.3847/1538-4357/aaa126

D. Scolnic, R. Kessler, D. Brout, P. S. Cowperthwaite, M., J. Annis, K. Herner, H.-Y. Chen, M., Z. Doctor, R. E. Butler, A. Palmese, H. T., J. Frieman, D. E. Holz, E. Berger, R., V. A. Villar, M. Nicholl, R. Biswas, R., R. J. Foley, J. Metzger, A. Rest, J., A. M\ oller, P. Nugent, T. M. C., F. B. Abdalla, S. Allam, K., A. Benoit-L\ evy, E. Bertin, D., E. Buckley-Geer, A. Carnero Rosell, M. Kind, J. Carretero, F. J. Castander, C. E., C. B. D Andrea, L. N. da Costa, C., P. Doel, A. Drlica-Wagner, T. F. Eifler, B., P. Fosalba, E. Gaztanaga, D. W. Gerdes, D., R. A. Gruendl, J. Gschwend, G. Gutierrez, W. G., K. Honscheid, D. J. James, M. W. G., M. D. Johnson, E. Krause, K., S. Kuhlmann, O. Lahav, T. S. Li, M., M. A. G. Maia, M. March, J. L. Marshall, F., R. Miquel, E. Neilsen, A. A. Plazas, E., V. Scarpine, M. Schubnell, I. Sevilla-Noarbe, M., R. C. Smith, F. Sobreira, E. Suchyta, M. E. C., G. Tarle, R. C. Thomas, D. L. Tucker, A. R. Walker, DES Collaboration, "How Many Kilonovae Can Be Found in Past, Present, and Future Survey Data Sets?", Astrophysical Journal Letters, 2018, 852:L3, doi: 10.3847/2041-8213/aa9d82

A. A. Miller, Y. Cao, A. L. Piro, N. Blagorodnova, B. D., S. B. Cenko, S. Dhawan, R. Ferretti, O. D., C. Fremling, A. Goobar, D. A. Howell, G., M. M. Kasliwal, R. R. Laher, R., F. J. Masci, C. McCully, P. E. Nugent, J. Sollerman, F. Taddia, S. R. Kulkarni, "Early Observations of the Type Ia Supernova iPTF 16abc: A Case of Interaction with Nearby, Unbound Material and/or Strong Ejecta Mixing", Astrophysical Journal, 2018, 852:100, doi: 10.3847/1538-4357/aaa01f

F. Taddia, J. Sollerman, C. Fremling, E. Karamehmetoglu, R. M., A. Gal-Yam, O. Yaron, M. M. Kasliwal, S. R., P. E. Nugent, G. Smadja, C. Tao, "PTF11mnb: First analog of supernova 2005bf. Long-rising, double-peaked supernova Ic from a massive progenitor", Astronomy and Astrophysics, 2018, 609:A106, doi: 10.1051/0004-6361/201629874

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

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

Tom Liebmann, Gunther H. Weber, Gerik Scheuermann, "Hierarchical Correlation Clustering in Multiple 2D Scalar Fields", Computer Graphics Forum (Special Issue, Proceedings Symposium on Visualization), 2018, 37, doi: 10.1111/cgf.13396

K Beketayev, D Yeliussizov, D Morozov, GH Weber, B Hamann, "Measuring the Error in Approximating the Sub-Level Set Topology of Sampled Scalar Data", International Journal of Computational Geometry and Applications, 2018, 28:57--77, doi: 10.1142/S0218195918500036

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

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

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

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

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

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,

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,

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,

A. Donev, C.-Y. Yang, C. Kim, "Efficient reactive Brownian dynamics", J. Chem. Phys. 148, 034103, 2018,

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,

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

RM Richard, C Bertoni, JS Boschen, K Keipert, B Pritchard, EF Valeev, RJ Harrison, WA De Jong, TL Windus, "Developing a Computational Chemistry Framework for the Exascale Era", Computing in Science and Engineering, 2018, doi: 10.1109/MCSE.2018.2884921

JK Gibson, WA de Jong, MJ van Stipdonk, J Martens, G Berden, J Oomens, "Equatorial coordination of uranyl: Correlating ligand charge donation with the O<inf>yl</inf>-U-O<inf>yl</inf> asymmetric stretch frequency", Journal of Organometallic Chemistry, 2018, 857:94--100, doi: 10.1016/j.jorganchem.2017.10.010

M Minion, S Goetschel, "Parallel-in-Time for Parabolic Optimal Control Problems Using PFASST", Domain Decomposition Methods in Science and Engineering XXIV, (Springer: 2018)

GH Weber, C Ophus, L Ramakrishnan, "Automated Labeling of Electron Microscopy Images Using Deep Learning", Proc. 4th Workshop of Machine Learning in HPC Environments (MLHPC), 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

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,

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

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,

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

E Deelman, T Peterka, I Altintas, CD Carothers, KK van Dam, K Moreland, M Parashar, L Ramakrishnan, M Taufer, J Vetter, "The future of scientific workflows", International Journal of High Performance Computing Applications, 2018, 32:159--175, doi: 10.1177/1094342017704893

GP Rodrigo, PO Östberg, E Elmroth, K Antypas, R Gerber, L Ramakrishnan, "Towards understanding HPC users and systems: A NERSC case study", Journal of Parallel and Distributed Computing, 2018, 111:206--221, doi: 10.1016/j.jpdc.2017.09.002

GP Rodrigo, E Elmroth, P-O Ostberg, L Ramakrishnan, "ScSF: A Scheduling Simulation Framework", Job Scheduling Strategies for Parallel Processing, Cham, Springer International Publishing, 2018, 152--173,

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,

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,

Andrey Babichev, Dmitriy Morozov, Yuri Dabaghian, "Robust spatial memory maps encoded by networks with transient", PLoS computational biology, 2018, 14:e1006433,

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

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

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

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

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

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,

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

F. B. Davies, J. F. Hennawi, E. Ba\ nados, Z., R. Decarli, X. Fan, E. P. Farina, C., H.-W. Rix, B. P. Venemans, F. Walter, F. Wang, J. Yang, Quantitative Constraints on the Reionization History from the IGM Damping Wing Signature in Two Quasars at z\nbsp$\gt$\nbsp7, Astrophysical Journal, Pages: 142 2018, doi: 10.3847/1538-4357/aad6dc

V. Khaire, M. Walther, J. F. Hennawi, J. O\ norbe, Z., J. X. Prochaska, T. M. Tripp, J. N. Burchett, C. Rodriguez, The Power Spectrum of the Lyman-$\alpha$ Forest at z $\lt$ 0.5, arXiv e-prints, 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

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

B Mohammed, S Moyo, KM Maiyama, S Kinteh, ANMK Al-Shaidy, MA Kamala, M Kiran, "Technical Report on Deploying a highly secured OpenStack Cloud Infrastructure using BradStack as a Case Study", 2017,

George Michelogiannakis, John Shalf, "Last Level Collective Hardware Prefetching For Data-Parallel Applications", IEEE 24th International Conference on High Performance Computing, IEEE, December 2017,

George Michelogiannakis, John Shalf, Last Level Collective Hardware Prefetching For Data-Parallel Applications, IEEE 24th International Conference on High Performance Computing, December 18, 2017,

J. Wang, A. Sim, K. Wu, S. Hwangbo, "Accurate Signal Timing from High Frequency Streaming Data", 2017 IEEE International Conference on Big Data (Big Data 2017), 2017, doi: 10.1109/bigdata.2017.8258565

A. Lazar, L. Jin, A. Spurlock, A. Todd, K. Wu, A. Sim, "Data Quality Challenges with Missing Values and Mixed Types in Joint Sequence Analysis", Workshop in Data Quality Issues in Big Data and Machine Learning Applications: Going Beyond Data Cleaning and Transformations, in conjunction with the 2017 IEEE International Conference on Big Data (Big Data 2017), 2017, doi: 10.1109/BigData.2017.8258222

J. Wang, K. Wu, A. Sim, S. Hwangbo, "Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers", 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017), 2017, doi: 10.1145/3148055.3149270

Shashanka Ubaru, Kesheng Wu, Kristofer E. Bouchard, "UoI-NMF Cluster: A Robust Nonnegative Matrix Factorization Algorithm for Improved Parts-Based Decomposition and Reconstruction of Noisy Data", the 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017), 2017, 241-248, doi: 10.1109/ICMLA.2017.0-152

P. Harrington, W. Yoo (Advisor), A. Sim (Advisor), K. Wu (Advisor), "Diagnosing Parallel I/O Bottlenecks in HPC Applications", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’17), ACM Student Research Competition (SRC), First place winner, 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,

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,

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, November 13, 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.

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

Brian Van Straalen, David Trebotich, Andrey Ovsyannikov, Daniel T. Graves, "Scalable Structured Adaptive Mesh Refinement with Complex Geometry", Exascale Scientific Applications: Scalability and Performance Portability, edited by Tjerk P. Straatsma, Katerina B. Antypas, Timothy J. Williams, (Chapman and Hall/CRC: November 13, 2017) doi: 10.1201/b21930

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,

Samuel Williams, Introduction to the Roofline Model, Roofline Training, November 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,

J. Wang, K. Wu, A. Sim, S. Hwangbo, "Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data", 3rd IEEE International Conference on Big Data Intelligence and Computing (DataCom2017), 2017, doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.157

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)

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)

David Hatchell, Patrick Miller, Michael Coleman, Sean Peisert, Cybersecurity for the Electricity Grid", Bits & Watts Annual Conference, November 6, 2017,

Tze Meng Low, Varun Nagaraj Rao, Matthew Lee, Doru Thom Popovici, Franz Franchetti Scott McMillan, "First look: Linear algebra-based triangle counting without matrix multiplication", HPEC, 2017,

Doru Thom Popovici, Franz Franchetti, Tze Meng Low, "Mixed data layout kernels for vectorized complex arithmetic", HPEC, 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,

N. Sanderson, E. Shugerman, S. Molnar, J. Meiss E. Bradley, "Computational Topology Techniques for Characterizing Time-Series Data", Advances in Intelligent Data Analysis XVI 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings, October 2017, pp.284-296, doi: 10.1007/978-3-319-68765-0_24

Topological data analysis (TDA), while abstract, allows a characterization of time-series data obtained from nonlinear and complex dynamical systems. Though it is surprising that such an abstract measure of structure—counting pieces and holes—could be useful for real-world data, TDA lets us compare different systems, and even do membership testing or change-point detection. However, TDA is computationally expensive and involves a number of free parameters. This complexity can be obviated by coarse-graining, using a construct called the witness complex. The parametric dependence gives rise to the concept of persistent homology: how shape changes with scale. Its results allow us to distinguish time-series data from different systems—e.g., the same note played on different musical instruments.

Philip C. Roth, Hongzhang Shan, David Riegner, Nikolas Antolin, Sarat Sreepathi, Leonid Oliker, Samuel Williams, Shirley Moore, Wolfgang Windl, "Performance Analysis and Optimization of the RAMPAGE Metal Alloy Potential Generation Software", SIGPLAN International Workshop on Software Engineering for Parallel Systems (SEPS), October 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

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

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

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,

Sean Peisert, Security in High Performance Computing Environments, Computing Sciences/NERSC Security Seminar, October 5, 2017,

Meiyue Shao and Chao Yang, "Properties of Definite Bethe--Salpeter Eigenvalue Problems", Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing. EPASA 2015. Lecture Notes in Computational Science and Engineering, vol 117., 2017, 91--105, doi: 10.1007/978-3-319-62426-6_7

Sean Peisert, Matt Bishop, Ed Talbot,, "A Model of Owner Controlled, Full-Provenance, Non-Persistent, High-Availability Information Sharing", Proceedings of the 2017 New Security Paradigms Workshop (NSPW), Santa Cruz, CA, October 2017, 80-89, doi: 10.1145/3171533.3171536

Sean Peisert, Security and Privacy in Data-Intensive, High-Performance Computing Contexts, Berkeley Institute for Data Science (BIDS), October 2, 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

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.

Matthew S. Barclay, Timothy J. Quincy, David B. Williams-Young, Marco Caricato, Christopher G. Elles, "Accurate Assignments of Excited-State Resonance Raman Spectra: A Benchmark Study Combining Experiment and Theory", Journal of Physical Chemistry A, 2017, 121:7937-7946, doi: 10.1021/acs.jpca.7b09467

Jonathan Ganz, Sean Peisert, "ASLR: How Robust is the Randomness", Proceedings of the IEEE Secure Development Conference (SecDev), Cambridge, MA, IEEE Computer Society, September 24, 2017, doi: 10.1109/SecDev.2017.19

Mahdi Jamei, Anna Scaglione, Ciaran Roberts, Emma Stewart, Sean Peisert, Chuck McParland, Alex McEachern, "Anomaly Detection Using μPMU Measurements in Distribution Grids", IEEE Transactions on Power Systems, 2017, doi: 10.1109/TPWRS.2017.2764882

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

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,

Sean Peisert, "Security in High-Performance Computing Environments", Communications of the ACM (CACM), September 2017, 60(9):72-80, doi: 10.1145/3096742

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,

R. Van Beeumen, D.B. Williams-Young, J.M. Kasper, C. Yang, E.G. Ng, X. Li, "Model order reduction algorithm for estimating the absorption spectrum", Journal of Chemical Theory and Computation, 2017, 13:4950-4961, doi: 10.1021/acs.jctc.7b00402

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,

Jack Deslippe, Doug Doerfler, Brandon Cook, Tareq Malas, Samuel Williams, Sudip Dosanjh, "Optimizing science applications for the Cori, Knights Landing, System at NERSC", Advances in Parallel Computing, New Frontiers in High Performance Computing and Big Data, August 2017, 30, doi: 10.3233/978-1-61499-816-7-235

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".

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,

Daniel Martin, Stephen Cornford, Antony Payne, Millennial-Scale Vulnerability of the Antarctic Ice Sheet to localized subshelf warm-water forcing, International Symposium on Polar Ice, Polar Climate, Polar Change, August 18, 2017,

K. Wu, D. Lee, A. Sim, J. Choi, "Statistical Data Reduction for Streaming Data", 2017 New York Scientific Data Summit (NYSDS), Data-Driven Discovery in Science and Industry, 2017, doi: 10.1109/NYSDS.2017.8085035

Seher Acer, R. Oguz Selvitopi, Cevdet Aykanat, "Addressing Volume and Latency Overheads in 1D-parallel Sparse Matrix-Vector Multiplication", European Conference on Parallel Processing (Euro-Par), Springer, August 2017, 625-637, doi: 10.1007/978-3-319-64203-1_45

Jinoh Kim, Alex Sim, "A New Approach to Online, Multivariate Network Traffic Analysis", 2nd Workshop on Network Security Analytics and Automation (NSAA), in conjunction with the 26th International Conference on Computer Communications and Networks (ICCCN 2017), 2017, doi: 10.1109/ICCCN.2017.8038520

J Muller, "SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems", INFORMS Journal on Computing, July 31, 2017, 29:581-596,

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

Dilip Vasudevan, George Michelogiannakis, John Shalf, "CASPER - Configurable Design Space Exploration of Programmable Architectures for Machine Learning using Beyond Moore Devices", IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), July 2017,

Mahdi Jamei, Anna Scaglione, Ciaran Roberts, Alex McEachern, Emma Stewart, Sean Peisert, Chuck McParland, "Online Thevenin Parameter Tracking Using Synchrophasor Data", Proceedings of the 2017 IEEE Power Engineering Society (PES) General Meeting (GM), Chicago, IL, IEEE, July 2017, doi: 10.1109/PESGM.2017.8273818

Sugeerth Murugesan, Kristofer Bouchard, Jesse A. Brown, Bernd Hamann, William W. Seeley, Andrew Trujillo, Gunther H. Weber, "Brain Modulyzer: Interactive Visual Analysis of Functional Brain Connectivity", IEEE Transactions on Computational Biology and Bioinformatics, 2017, 14(4):805-818, LBNL 1005732, doi: 10.1109/TCBB.2016.2564970

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

Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu, "Improving Statistical Similarity Based Data Reduction for Non-Stationary Data", 29th International Conference on Scientific and Statistical Database Management (SSDBM2017), 2017, doi: 10.1145/3085504.3085583

Updated experiment version: https://sdm.lbl.gov/oapapers/ssdbm17-lee-upd.pdf
Original version: http://dl.acm.org/citation.cfm?doid=3085504.3085583

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,

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

Alberto Gonzalez, Jason Leigh, Sean Peisert, Brian Tierney, Edward Balas, Predrag Radulovic, Jennifer M. Schopf, "Big Data and Analysis of Data Transfers for International Research Networks Using NetSage", Proceedings of IEEE BigData Congress 2017, Honolulu, Hawaii, June 2017, doi: 10.1109/BigDataCongress.2017.51

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.

Sean Peisert, Mike Corn, Dewight Kramer, David Rusting, Tye Stallard, The Role of the WAN and the Community to Improve Security, 2017 UC Information Security Symposium,, June 21, 2017,

Galen Rasche, Jenna Goodward, Sheeraz Haji, Gabriel Paun, Sean Peisert, Managing Energy: Role of Data and Security, Prospect Silicon Valley 2017 Innovation and Impact Symposium, June 14, 2017,

Sugeerth Murugesan, Kristofer Bouchard, Edward Chang, Dougherty, Bernd Hamann, Gunther H. Weber, "Multi-scale Visual Analysis of Time-varying Electrocorticography Data Clustering of Brain Regions", BMC Bioinformatics, 2017, 18:236, doi: 10.1186/s12859-017-1633-9

Hongzhang Shan, Samuel Williams, Calvin Johnson, Kenneth McElvain, "A Locality-based Threading Algorithm for the Configuration-Interaction Method", Parallel and Distributed Scientific and Engineering Computing (PDSEC), June 2017,

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,

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

Thorsten Kurth, William Arndt, Taylor Barnes, Brandon Cook, Jack Deslippe, Doug Doerfler, Brian Friesen, Yun (Helen) He, Tuomas Koskela, Mathieu Lobet, Tareq Malas, Leonid Oliker, Andrey Ovsyannikov, Samuel Williams, Woo-Sun Yang, and Zhengji Zhao, "Analyzing Performance of Selected NESAP Applications on the Cori HPC System", Intel Xeon Phi Users Group (IXPUG), June 2017,

Jonas Lukasczyk, Ross Maciejewski, Gunther H. Weber, Garth, Heike Leitte, "Nested Tracking Graphs", Computer Graphics Forum (Special Issue, Proceedings Symposium on Visualization), 2017, 36 (3):12--22, doi: 10.1111/cgf.13164

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.

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,

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,

Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, K. John Wu, "Parallel Variable Selection for Effective Performance Prediction", the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2017), 2017, doi: 10.1109/CCGRID.2017.47

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,

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,

Dai Wang, Junyu Gaob, Pan Li, Bin Wang, Cong Zhang, Samveg Saxena, "Modeling of plug-in electric vehicle travel patterns and charging load based on trip chain generation", Journal of Power Sources, May 13, 2017, 359:468 - 479, doi: 10.1016/j.jpowsour.2017.05.036

Modeling PEV travel and charging behavior is the key to estimate the charging demand and further explore the potential of providing grid services. This paper presents a stochastic simulation methodology to generate itineraries and charging load profiles for a population of PEVs based on real-world vehicle driving data. In order to describe the sequence of daily travel activities, we use the trip chain model which contains the detailed information of each trip, namely start time, end time, trip distance, start location and end location. A trip chain generation method is developed based on the Naive Bayes model to generate a large number of trips which are temporally and spatially coupled. We apply the proposed methodology to investigate the multi-location charging loads in three different scenarios. Simulation results show that home charging can meet the energy demand of the majority of PEVs in an average condition. In addition, we calculate the lower bound of charging load peak on the premise of lowest charging cost. The results are instructive for the design and construction of charging facilities to avoid excessive infrastructure.

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

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,

Alessio Petrone, David B. Williams-Young, David B. Lingerfelt, Xiaosong Li, "Ab Initio Transient Raman Analysis", Journal of Physical Chemistry A, 2017, 121:3958-3965, doi: 10.1021/acs.jpca.7b02905

M. de Raad, T. de Rond, O. Rübel, J. D. Keasling, T. R. Northen, B. P. Bowen, "OpenMSI Arrayed Analysis Toolkit: Analyzing Spatially Defined Samples Using Mass Spectrometry Imaging", ACS Analytical Chemistry, May 3, 2017, doi: 10.1021/acs.analchem.6b05004

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,

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

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,

Franco Egidi, David B. Williams-Young, Alberto Baiardi, Julien Bloino, Giovanni Scalmani, Michael J. Frisch, Xiaosong Li, Vincenzo Barone, "Effective Inclusion of MEchanical and Electrical Anharmonivity in Excited Electronic States: VPT2-TDDFT Route", Journal of Chemical Theory and Computation, 2017, 13:2789-2803, doi: 10.1021/acs.jctc.7b00218

Gunther H. Weber, Sheelagh Carpendale, David Ebert, Brian Fisher Hans Hagen, Ben Shneiderman, Anders Ynnerman, "Apply or Die: On the Role and Assessment of Application Papers in", IEEE Computer Graphics \& Applications, 2017, 37 (3):96--104, doi: 10.1109/MCG.2017.51

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

ellis simulation

Sergi Molins, David Trebotich, Gregory H. Miller, Carl I. Steefel, "Mineralogical and transport controls on the evolution of porous media texture using direct numerical simulation", Water Resources Research, April 7, 2017, doi: 10.1002/2016WR020323

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

Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu, "Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns", Data Compression Conference (DCC 2017), 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,

Sean Peisert, Greg Bell, Anita Nikolich, Von Welch, Cybersecurity: New Directions for Research and Education - Your own safety is at stake when your neighbor's wall is ablaze. (—Horace), CENIC Annual Conference — The Right Connection ¦ CENIC 2.0, March 22, 2017,

Hannah E. Ross, Keri L. Dixon, Ilian T. Iliev, Garrelt Mellema, "Simulating the impact of X-ray heating during the cosmic dawn", Montly Notices of the Royal Astronomical Society, March 22, 2017,

Hannah E. Ross, Keri L. Dixon, Ilian T. Iliev, Garrelt Mellema, "Simulating the impact of X-ray heating during the cosmic dawn", Monthly Notices of the Royal Astronomical Society, March 2017, 468:3785-3797, doi: 10.1093/mnras/stx649

Yingqi Xiong, Bin Wang, Chi-cheng Chu, Rajit Gadh, "Distributed Optimal Vehicle Grid Integration Strategy with User Behavior Prediction", IEEE PES General Meeting 2017, March 13, 2017,

With the increasing of electric vehicle (EV) adoption in recent years, the impact of EV charging activities to the power grid becomes more and more significant. In this article, an optimal scheduling algorithm which combines smart EV charging and V2G gird service is developed to integrate EVs into power grid as distributed energy resources, with improved system cost performance. Specifically, an optimization problem is formulated and solved at each EV charging station according to control signal from aggregated control center and user charging behavior prediction by mean estimation and linear regression. The control center collects distributed optimization results and updates the control signal, periodically. The iteration continues until it converges to optimal scheduling. Experimental result shows this algorithm helps fill the valley and shave the peak in electric load profiles within a microgrid, while the energy demand of individual driver can be satisfied.

Leon J. Osterweil, Matt Bishop, Heather M. Conboy, Huong Phan, Borislava I. Simidchieva, George S. Avrunin, Lori A. Clarke, Sean Peisert, "A Comprehensive Framework for Using Iterative Analysis to Improve Human-Intensive Process Security: An Election Example", ACM Transactions on Privacy and Security (TOPS), 2017, 20(2), doi: https://doi.org/10.1145/3041041

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,

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

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,

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

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,

Ma, S., T. Zhou, D. A. Stone, D. Polson, A. Dai, P. A. Stott, H. von Storch, Y. Qian, C. Burke, P. Wu, L. Zou, and A. Ciavarella, "Detectable anthropogenic shift toward heavy precipitation over eastern China", Journal of Climate, 2017, 30:1381-1396, doi: 10.1175/JCLI-D-16-0311.1

Saverio E Spagnolie, Colin Wahl, Joseph Lukasik, Jean-Luc Thiffeault, "Microorganism billiards", Physica D: Nonlinear Phenomena, February 15, 2017, 341:33 - 44, doi: https://doi.org/10.1016/j.physd.2016.09.010

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

Sean Peisert, Von Welch, Andrew Adams, Michael Dopheide, Susan Sons, RuthAnne Bevier, Rich LeDuc, Pascal Meunier, Stephen Schwab, and Karen Stocks, Ilkay Altintas, James Cuff, Reagan Moore, Warren Raquel, "Open Science Cyber Risk Profile", February 10, 2017, doi: 2022/21259

Mitchell, D., K. AchutaRao, M. Allen, I. Bethke, U. Beyerle, A. Ciavarella, P. M. Forster, J. Fuglestvedt, N. Gillett, K. Haustein, W. Ingram, T. Iverson, V. Kharin, N. Klingaman, N. Massey, E. Fischer, C.-F. Schleussner, J. Scinocca, O. Seland, H. Shiogama, E. Shuckburgh, S. Sparrow, D. Stone, P. Uhe, D. Wallom, M. Wehner, and R. Zaaboul, "Half a degree additional warming, prognosis and projected impacts (HAPPI): background and experimental design", Geoscientific Model Development, 2017, 10:571-583, doi: 10.5194/gmd-10-571-2017

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,

Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, John Wu, Anna Spurlock, Annika Todd, "Comparison of Clustering Techniques for Residential Energy Behavior using Smart Meter Data", 2nd International Workshop on Artificial Intelligence for Smart Grids and Smart Buildings, In conjunction with AAAI 2017, 2017,

R. Oguz Selvitopi, Seher Acer, Cevdet Aykanat, "A Recursive Hypergraph Bipartitioning Framework for Reducing Bandwidth and Latency Costs Simultaneously", IEEE Transactions on Parallel and Distributed Systems (TPDS), February 2017, 28, 2:345-358, doi: 10.1109/TPDS.2016.2577024

Yubo Wan, Wenbo Shi, Bin Wang, Chi-Cheng Ch, Rajit Gadh, "Optimal operation of stationary and mobile batteries in distribution grids", Applied Energy, January 28, 2017, 190:1289 - 130, doi: 10.1016/j.apenergy.2016.12.139

The trending integrations of Battery Energy Storage System (BESS, stationary battery) and Electric Vehicles (EV, mobile battery) to distribution grids call for advanced Demand Side Management (DSM) technique that addresses the scalability concerns of the system and stochastic availabilities of EVs. Towards this goal, a stochastic DSM is proposed to capture the uncertainties in EVs. Numerical approximation is then used to make the problem tractable. To accelerate the computational speed, the proposed DSM is tightly relaxed to a convex form using second-order cone programming. Furthermore, in light of the continuous increasing problem size, a distributed method with a guaranteed convergence is applied to shift the centralized computational burden to distributed controllers. To verify the proposed DSM, real-life EV data collected on UCLA campus is used to test the proposed DSM in an IEEE benchmark test system. Numerical results demonstrate the correctness and merits of the proposed approach.

J. Kim, A. Sim, S.C. Suh, I. Kim, "An Approach to Online Network Monitoring Using Clustered Patterns", International Conference on Computing, Networking and Communications (ICNC 2017), 2017, doi: 10.1109/ICCNC.2017.7876207

J. Kim, W. Yoo, A. Sim, S.C. Suh, I. Kim, "A Lightweight Network Anomaly Detection Technique", International Workshop on Computing, Networking and Communications (CNC 2017), 2017, doi: 10.1109/ICCNC.2017.7876251

Richard LeDuc, Sean Peisert, Karen Stocks, Von Welch, Open Science Cyber Risk Profile (OSCRP), National Science Foundation Cybersecurity Center of Excellence (CCoE) Webinar Series, January 23, 2017,

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

K. Meerbergen, W. Michiels, R. Van Beeumen, E. Mengi, "Computation of pseudospectral abscissa for large-scale nonlinear eigenvalue problems", IMA Journal of Numerical Analysis, 2017, 37:1831-1863, doi: 10.1093/imanum/drw065

Mahdi Jamei, Anna Scaglione, Ciaran Roberts, Emma Stewart, Sean Peisert, Chuck McParland, Alex McEachern, "Automated Anomaly Detection in Distribution Grids Using µPMU Measurements", Proceedings of the 50th Hawaii International Conference on System Sciences (HICSS), Electric Energy Systems Track, Resilient Networks Minitrack, IEEE, January 2017, doi: http://hdl.handle.net/10125/41543

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

P Oesterling, C Heine, GH Weber, D Morozov, G Scheuermann, "Computing and visualizing time-varying merge trees for high-dimensional data", Mathematics and Visualization, ( 2017) Pages: 87--101 doi: 10.1007/978-3-319-44684-4_5

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

E. Vecharynski and C. Yang, "Preconditioned iterative methods for eigenvalue counts", Lecture Notes in Computational Science, January 1, 2017,

Esmond Ng, Katherine J. Evans, Peter Caldwell, Forrest M. Hoffman, Charles Jackson, Kerstin Van Dam, Ruby Leung, Daniel F. Martin, George Ostrouchov, Raymond Tuminaro, Paul Ullrich, Stefan Wild, Samuel Williams, "Advances in Cross-Cutting Ideas for Computational Climate Science (AXICCS)", January 2017, doi: 10.2172/1341564

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,

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

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

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,

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

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,

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

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

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 Lovegrove, SE Woosley, W Zhang, Very Low-energy Supernovae: Light Curves and Spectra of Shock Breakout, Astrophysical Journal, 2017, doi: 10.3847/1538-4357/aa7b7d

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

David A Shapiro, Rich Celestre, Peter Denes, Maryam Farmand, John Joseph, ALD Kilcoyne, Stefano Marchesini, Howard Padmore, Singanallur V Venkatakrishnan, Tony Warwick, others, Ptychographic Imaging of Nano-Materials at the Advanced Light Source with the Nanosurveyor Instrument, Journal of Physics: Conference Series, Pages: 012028 2017,

M. M. Kasliwal, E. Nakar, L. P. Singer, D. L. Kaplan, D. O., A. Van Sistine, R. M. Lau, C. Fremling, O., J. E. Jencson, S. M. Adams, U. Feindt, K., S. Ghosh, D. A. Perley, P.-C. Yu, T., J. R. Allison, G. C. Anupama, A. Balasubramanian, K. W., J. Bally, J. Barnes, S. Barway, E., V. Bhalerao, D. Bhattacharya, N. Blagorodnova, J. S., P. R. Brady, C. Cannella, D. Chatterjee, S. B., B. E. Cobb, C. Copperwheat, A. Corsi, K., D. Dobie, S. W. K. Emery, P. A. Evans, O. D., D. A. Frail, C. Frohmaier, A. Goobar, G., F. Harrison, G. Helou, T. Hinderer, A. Y. Q., A. Horesh, W.-H. Ip, R. Itoh, D., H. Kim, N. P. M. Kuin, T. Kupfer, C., K. Madsen, P. A. Mazzali, A. A. Miller, K., T. Murphy, C.-C. Ngeow, D. Nichols, S., P. Nugent, E. O. Ofek, H. Qi, R. M., S. Rosswog, F. Rusu, E. M. Sadler, P., J. Sollerman, I. Steele, A. R. Williamson, Y., L. Yan, Y. Yatsu, C. Zhang, W. Zhao, "Illuminating gravitational waves: A concordant picture of photons from a neutron star merger", Science, 2017, 358:1559-1565, doi: 10.1126/science.aap9455

L. Whitesides, R. Lunnan, M. M. Kasliwal, D. A., A. Corsi, S. B. Cenko, N. Blagorodnova, Y., D. O. Cook, G. B. Doran, D. D. Frederiks, C., K. Hurley, E. Karamehmetoglu, S. R., G. Leloudas, F. Masci, P. E. Nugent, A., A. Rubin, V. Savchenko, J. Sollerman, D. S., F. Taddia, P. Vreeswijk, P. Wozniak, "iPTF 16asu: A Luminous, Rapidly Evolving, and High-velocity Supernova", Astrophysical Journal, 2017, 851:107, doi: 10.3847/1538-4357/aa99de

I. Arcavi, D. A. Howell, D. Kasen, L. Bildsten, G., C. McCully, Z. C. Wong, S. R. Katz, A., J. Sollerman, F. Taddia, G. Leloudas, C., P. E. Nugent, A. Horesh, K. Mooley, C., S. B. Cenko, M. L. Graham, D. A. Perley, E., N. J. Shaviv, O. Bromberg, K. J. Shen, E. O., Y. Cao, X. Wang, F. Huang, L., T. Zhang, W. Li, Z. Li, J. Zhang, S., D. Guevel, B. Shappee, C. S. Kochanek, T. W.-S., A. V. Filippenko, R. Fender, A., O. Yaron, M. M. Kasliwal, M. Sullivan, N., R. S. Walters, R. Lunnan, D., I. Andreoni, R. R. Laher, N. Konidaris, P. Wozniak, B. Bue, "Energetic eruptions leading to a peculiar hydrogen-rich explosion of a massive star", Nature, 2017, 551:210-213, doi: 10.1038/nature24030

B. P. Abbott, R. Abbott, T. D. Abbott, F. Acernese, K., C. Adams, T. Adams, P. Addesso, R. X. Adhikari, V. B. Adya, et al., A gravitational-wave standard siren measurement of the Hubble constant, Nature, Pages: 85-88 2017, doi: 10.1038/nature24471

Y. Vadai, D. Poznanski, D. Baron, P. E. Nugent, D. Schlegel, "The effect of interstellar absorption on measurements of the baryon acoustic peak in the Lyman $\alpha$ forest", Monthly Notices of the RAS, 2017, 472:799-807, doi: 10.1093/mnras/stx2088

Y.-C. Pan, R. J. Foley, M. Smith, L. Galbany, C. B., S. Gonz\ alez-Gait\ an, M. J. Jarvis, R., E. Kovacs, R. C. Lidman, A., M. Sako, M. Sullivan, T. M. C. Abbott, F. B., J. Annis, K. Bechtol, A. Benoit-L\ evy, D., E. Buckley-Geer, D. L. Burke, A. Carnero Rosell, M. Kind, J. Carretero, F. J. Castander, C. E., L. N. da Costa, S. Desai, H. T. Diehl, P., T. F. Eifler, D. A. Finley, B. Flaugher, J., J. Garc\ \ia-Bellido, D. A. Goldstein, D., R. A. Gruendl, J. Gschwend, G. Gutierrez, D. J., A. G. Kim, E. Krause, K. Kuehn, N., O. Lahav, M. Lima, M. A. G. Maia, M., J. L. Marshall, P. Martini, R. Miquel, P., A. A. Plazas, A. K. Romer, E. Sanchez, V., M. Schubnell, I. Sevilla-Noarbe, R. C., F. Sobreira, E. Suchyta, M. E. C. Swanson, R. C. Thomas, A. R. Walker, DES Collaboration, DES15E2mlf: a spectroscopically confirmed superluminous supernova that exploded 3.5 Gyr after the big bang, Monthly Notices of the RAS, Pages: 4241-4250 2017, doi: 10.1093/mnras/stx1467

B. P. Abbott, R. Abbott, T. D. Abbott, F. Acernese, K., C. Adams, T. Adams, P. Addesso, R. X. Adhikari, V. B. Adya, et al., Multi-messenger Observations of a Binary Neutron Star Merger, Astrophysical Journal Letters, Pages: L12 2017, doi: 10.3847/2041-8213/aa91c9

A. A. Miller, M. M. Kasliwal, Y. Cao, S. M. Adams, A., S. Kne\v zevi\ c, R. R. Laher, R., F. J. Masci, P. E. Nugent, D. A. Perley, T., R. M. Quimby, U. D. Rebbapragada, J. Sollerman, F. Taddia, S. R. Kulkarni, "Color Me Intrigued: The Discovery of iPTF 16fnm, an SN 2002cx-like Object", Astrophysical Journal, 2017, 848:59, doi: 10.3847/1538-4357/aa8c7e

L. Yan, R. Lunnan, D. A. Perley, A. Gal-Yam, O., R. Roy, R. Quimby, J. Sollerman, C., G. Leloudas, S. B. Cenko, P. Vreeswijk, M. L., D. A. Howell, A. De Cia, E. O. Ofek, P., S. R. Kulkarni, G. Hosseinzadeh, F., C. McCully, U. D. Rebbapragada, P. Wo\ zniak, Hydrogen-poor Superluminous Supernovae with Late-time H$\alpha$ Emission: Three Events From the Intermediate Palomar Transient Factory, Astrophysical Journal, Pages: 6 2017, doi: 10.3847/1538-4357/aa8993

H. T. Diehl, E. J. Buckley-Geer, K. A. Lindgren, B., H. Gaitsch, S. Gaitsch, H. Lin, S., T. E. Collett, C. Furlanetto, M. S. S. Gill, A., J. Nightingale, C. Odden, A. Pellico, D. L., L. N. da Costa, A. Fausti Neto, N., M. Soares-Santos, B. Welch, Y., J. A. Frieman, F. B. Abdalla, J. Annis, A., E. Bertin, D. Brooks, D. L., A. Carnero Rosell, M. Carrasco Kind, J., C. E. Cunha, C. B. D Andrea, S., J. P. Dietrich, A. Drlica-Wagner, A. E., D. A. Finley, B. Flaugher, J. Garc\ \ia-Bellido, D. W., D. A. Goldstein, D. Gruen, R. A. Gruendl, J., G. Gutierrez, D. J. James, K. Kuehn, S., O. Lahav, T. S. Li, M. Lima, M. A. G., J. L. Marshall, F. Menanteau, R., R. C. Nichol, P. Nugent, R. L. C. Ogando, A. A., K. Reil, A. K. Romer, M. Sako, E., B. Santiago, V. Scarpine, R. Schindler, M., I. Sevilla-Noarbe, E. Sheldon, M., F. Sobreira, E. Suchyta, M. E. C. Swanson, G., D. Thomas, A. R. Walker, DES Collaboration, "The DES Bright Arcs Survey: Hundreds of Candidate Strongly Lensed Galaxy Systems from the Dark Energy Survey Science Verification and Year 1 Observations", Astrophysical Journal Supplement, 2017, 232:15, doi: 10.3847/1538-4365/aa8667

A. Nyholm, J. Sollerman, F. Taddia, C. Fremling, T. J., E. O. Ofek, A. Gal-Yam, A. De Cia, R., M. M. Kasliwal, Y. Cao, P. E. Nugent, F. J. Masci, "The bumpy light curve of Type IIn supernova iPTF13z over 3 years", Astronomy and Astrophysics, 2017, 605:A6, doi: 10.1051/0004-6361/201629906

G. Dimitriadis, M. Sullivan, W. Kerzendorf, A. J., I. R. Seitenzahl, S. Taubenberger, G. B., A. Gal-Yam, R. R. Laher, K. Maguire, P. Nugent, E. O. Ofek, J. Surace, "The late-time light curve of the Type Ia supernova SN 2011fe", Monthly Notices of the RAS, 2017, 468:3798-3812, doi: 10.1093/mnras/stx683

N. Blagorodnova, S. Gezari, T. Hung, S. R. Kulkarni, S. B., D. R. Pasham, L. Yan, I. Arcavi, S., B. D. Bue, T. Cantwell, Y. Cao, A. J., R. Fender, C. Fremling, A., A. Y. Q. Ho, A. Horesh, G. Hosseinzadeh, M. M., A. K. H. Kong, R. R. Laher, G., R. Lunnan, F. J. Masci, K. Mooley, J. D., P. Nugent, M. Powell, A. F. Valeev, P. M. Vreeswijk, R. Walters, P. Wozniak, "iPTF16fnl: A Faint and Fast Tidal Disruption Event in an E+A Galaxy", Astrophysical Journal, 2017, 844:46, doi: 10.3847/1538-4357/aa7579

M. L. Graham, C. E. Harris, O. D. Fox, P. E. Nugent, D. Kasen, J. M. Silverman, A. V. Filippenko, "PTF11kx: A Type Ia Supernova with Hydrogen Emission Persisting after 3.5 Years", Astrophysical Journal, 2017, 843:102, doi: 10.3847/1538-4357/aa78ee

P. Nugent, "Supernovae: The explosion in a bubble", Nature Astronomy, Pages: 0140 2017, doi: 10.1038/s41550-017-0140

T. Hung, S. Gezari, N. Blagorodnova, N. Roth, S. B., S. R. Kulkarni, A. Horesh, I. Arcavi, C., L. Yan, R. Lunnan, C. Fremling, Y. Cao, P. E. Nugent, P. Wozniak, "Revisiting Optical Tidal Disruption Events with iPTF16axa", Astrophysical Journal, 2017, 842:29, doi: 10.3847/1538-4357/aa7337

B. Friesen, E. Baron, J. T. Parrent, R. C. Thomas, D., P. E. Nugent, P. H. Hauschildt, R. J., D. E. Wright, Y.-C. Pan, A. V. Filippenko, K. I., J. M. Silverman, K. Maeda, I. Shivvers, P. L., D. P. Cohen, A. Rest, D. Kasen, "Optical and ultraviolet spectroscopic analysis of SN 2011fe at late times", Monthly Notices of the RAS, 2017, 467:2392-2411, doi: 10.1093/mnras/stx241

C. Frohmaier, M. Sullivan, P. E. Nugent, D. A. Goldstein, J. DeRose, "Real-time Recovery Efficiencies and Performance of the Palomar Transient Factory\rsquos Transient Discovery Pipeline", Astrophysical Journal Supplement, 2017, 230:4, doi: 10.3847/1538-4365/aa6d70

W. Zheng, A. V. Filippenko, J. Mauerhan, M. L. Graham, H., G. Hosseinzadeh, J. M. Silverman, L., R. Arbour, R. J. Foley, B. Abolfathi, L. E., I. Arcavi, A. J. Barth, V. N. Bennert, A. P., M. C. Cooper, M. Cosens, S. P. Fillingham, B. J., G. Halevi, D. A. Howell, T. Hsyu, P. L., S. Kumar, L. Li, W. Li, M. A., C. Manzano-King, C. McCully, P. E., Y.-C. Pan, L. Pei, B. Scott, R. O., I. Shivvers, B. Stahl, T. Treu, S., H. A. Vogler, J. L. Walsh, X. Wang, Discovery and Follow-up Observations of the Young Type Ia Supernova 2016coj, Astrophysical Journal, Pages: 64 2017, doi: 10.3847/1538-4357/aa6dfa

A. Goobar, R. Amanullah, S. R. Kulkarni, P. E. Nugent, J., C. Steidel, D. Law, E. M\ ortsell, R., N. Blagorodnova, A. Brandeker, Y., A. Cooray, R. Ferretti, C. Fremling, L., M. Kasliwal, T. Kupfer, R. Lunnan, F., A. A. Miller, H. Nayyeri, J. D. Neill, E. O., S. Papadogiannakis, T. Petrushevska, V., J. Sollerman, M. Sullivan, F. Taddia, R., D. Wilson, L. Yan, O. Yaron, "iPTF16geu: A multiply imaged, gravitationally lensed type Ia supernova", Science, 2017, 356:291-295, doi: 10.1126/science.aal2729

O. Yaron, D. A. Perley, A. Gal-Yam, J. H. Groh, A., E. O. Ofek, S. R. Kulkarni, J. Sollerman, C., A. Rubin, P. Szabo, N. Sapir, F., S. B. Cenko, S. Valenti, I. Arcavi, D. A., M. M. Kasliwal, P. M. Vreeswijk, D., O. D. Fox, Y. Cao, O. Gnat, P. L., P. E. Nugent, A. V. Filippenko, R. R., P. R. Wozniak, W. H. Lee, U. D. Rebbapragada, K. Maguire, M. Sullivan, M. T. Soumagnac, "Confined dense circumstellar material surrounding a regular type II supernova", Nature Physics, 2017, 13:510-517, doi: 10.1038/nphys4025

R. Lunnan, M. M. Kasliwal, Y. Cao, L. Hangard, O., J. T. Parrent, C. McCully, A. Gal-Yam, J. S., S. Ben-Ami, A. V. Filippenko, C., A. S. Fruchter, D. A. Howell, J., T. Kupfer, S. R. Kulkarni, R. Laher, F., P. E. Nugent, E. O. Ofek, M. Yagi, L. Yan, "Two New Calcium-rich Gap Transients in Group and Cluster Environments", Astrophysical Journal, 2017, 836:60, doi: 10.3847/1538-4357/836/1/60

S. Gezari, T. Hung, S. B. Cenko, N. Blagorodnova, L., S. R. Kulkarni, K. Mooley, A. K. H. Kong, T. M., P. C. Yu, Y. Cao, C. Fremling, J. D., C.-C. Ngeow, P. E. Nugent, P. Wozniak, "iPTF Discovery of the Rapid \ldquoTurn-on\rdquo of a Luminous Quasar", Astrophysical Journal, 2017, 835:144, doi: 10.3847/1538-4357/835/2/144

A. M. Meisner, B. C. Bromley, P. E. Nugent, D. J., S. J. Kenyon, E. F. Schlafly, K. S. Dawson, "Searching for Planet Nine with Coadded WISE and NEOWISE-Reactivation Images", Astronomical Journal, 2017, 153:65, doi: 10.3847/1538-3881/153/2/65

P. M. Vreeswijk, G. Leloudas, A. Gal-Yam, A. Cia, D. A. Perley, R. M. Quimby, R. Waldman, M., L. Yan, E. O. Ofek, C. Fremling, F., J. Sollerman, S. Valenti, I. Arcavi, D. A., A. V. Filippenko, S. B. Cenko, O., M. M. Kasliwal, Y. Cao, S. Ben-Ami, A., A. Rubin, R. Lunnan, P. E. Nugent, R., U. D. Rebbapragada, P. Wo\ zniak, S. R. Kulkarni, "On the Early-time Excess Emission in Hydrogen-poor Superluminous Supernovae", Astrophysical Journal, 2017, 835:58, doi: 10.3847/1538-4357/835/1/58

D. A. Goldstein, P. E. Nugent, "How to Find Gravitationally Lensed Type Ia Supernovae", Astrophysical Journal Letters, 2017, 834:L5, doi: 10.3847/2041-8213/834/1/L5

N. Blagorodnova, R. Kotak, J. Polshaw, M. M. Kasliwal, Y., A. M. Cody, G. B. Doran, N. Elias-Rosa, M., C. Fremling, C. Gonzalez-Fernandez, J., J. Jencson, E. Kankare, R.-P. Kudritzki, S. R., E. Magnier, I. Manulis, F. J. Masci, S., P. Nugent, P. Ochner, A. Pastorello, T., K. Smith, J. Sollerman, F. Taddia, G., L. Tomasella, M. Turatto, P. M. Vreeswijk, P. Wozniak, S. Zaggia, "Common Envelope Ejection for a Luminous Red Nova in M101", Astrophysical Journal, 2017, 834:107, doi: 10.3847/1538-4357/834/2/107

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

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

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,

J Müller, JD Woodbury, "GOSAC: global optimization with surrogate approximation of constraints", Journal of Global Optimization, 2017, 69:117--136, doi: 10.1007/s10898-017-0496-y

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

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

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,

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,

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

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

JK Gibson, WA De Jong, PD Dau, Y Gong, "Heptavalent Actinide Tetroxides NpO<inf>4</inf><sup>-</sup>and PuO<inf>4</inf><sup>-</sup>: Oxidation of Pu(V) to Pu(VII) by Adding an Electron to PuO<inf>4</inf>", Journal of Physical Chemistry A, 2017, 121:9156--9162, doi: 10.1021/acs.jpca.7b09721

KD Vogiatzis, D Ma, J Olsen, L Gagliardi, WA De Jong, "Pushing configuration-interaction to the limit: Towards massively parallel MCSCF calculations", Journal of Chemical Physics, 2017, 147, doi: 10.1063/1.4989858

MD Hanwell, WA De Jong, CJ Harris, "Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application", Journal of Cheminformatics, 2017, 9, doi: 10.1186/s13321-017-0241-z

RJ Abergel, WA De Jong, GJP Deblonde, PD Dau, I Captain, TM Eaton, J Jian, MJ Van Stipdonk, J Martens, G Berden, J Oomens, JK Gibson, "Cleaving off Uranyl Oxygens through Chelation: A Mechanistic Study in the Gas Phase", Inorganic Chemistry, 2017, 56:12930--129, doi: 10.1021/acs.inorgchem.7b01720

GJP Deblonde, M Sturzbecher-Hoehne, PB Rupert, DD An, MC Illy, CY Ralston, J Brabec, WA De Jong, RK Strong, RJ Abergel, "Chelation and stabilization of berkelium in oxidation state<sup>+</sup>IV", Nature Chemistry, 2017, 9:843--849, doi: 10.1038/nchem.2759

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

WA De Jong, PD Dau, RE Wilson, J Marçalo, MJ Van Stipdonk, TA Corcovilos, G Berden, J Martens, J Oomens, JK Gibson, "Revealing Disparate Chemistries of Protactinium and Uranium. Synthesis of the Molecular Uranium Tetroxide Anion, UO<inf>4</inf><sup>-</sup>", Inorganic Chemistry, 2017, 56:3686--3694, doi: 10.1021/acs.inorgchem.7b00144

TY Takeshita, WA De Jong, D Neuhauser, R Baer, E Rabani, "Stochastic Formulation of the Resolution of Identity: Application to Second Order Møller-Plesset Perturbation Theory", Journal of Chemical Theory and Computation, 2017, 13:4605--4610, doi: 10.1021/acs.jctc.7b00343

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

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,

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

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

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

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

GP Rodrigo, E Elmroth, P-O Östberg, L Ramakrishnan, "Enabling Workflow-Aware Scheduling on HPC Systems", Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing - HPDC 17, ACM Press, 2017, doi: 10.1145/3078597.3078604

Libmodbus, \urlhttp://libmodbus.org, 2017,

MATLAB, Matlab mex compiler, \urlhttp://www.mathworks.com/help/matlab/ref/mex.html, 2017,

OSIsoft, \urlhttp://www.osisoft.com/, 2017,

Anton Cherepanov, \urlhttps://www.welivesecurity.com/wp-content/uploads/2017/06/Win32_Industroyer.pdf, 2017,

AmazonKinesis, \urlhttps://aws.amazon.com/kinesis/, 2017,

Amin Vahdat, Bikash Koley, \urlhttps://blog.google/topics/google-cloud/making-google-cloud-faster-more-available-and-cost-effective-extending-sdn-public-internet-espresso/, 2017,

IBMstreams, \urlhttp://www-03.ibm.com/software/products/en/ibm-streams, 2017,

Apache Storm, \urlhttps://storm.apache.org/, 2017,

ZeroMQ, \urlhttps://www.zeromq.org/, 2017,

BeagleBoneBlack, \urlhttps://beagleboard.org/black, 2017,

Bro, \urlhttps://bro.org/, 2017,

GoogleProtocolbuffers, \urlhttps://developers.google.com/protocol-buffers/, 2017,

Docker, \urlhttps://docker.com, 2017,

Rancher, \urlhttps://rancher.com, 2017,

MsgPack, \urlhttps://msgpack.org/, 2017,

Ansible, \urlhttps://www.ansible.com/, 2017,

ApacheCassandra, \urlhttps://cassandra.apache.org/, 2017,

Jupyter, \urlhttps://jupyter.org/, 2017,

RabbitMQ, \urlhttps://www.rabbitmq.com/, 2017,

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

Paypal, Cybersecurity Strategy, \urlhttps://www.paypal.com/us/webapps/mpp/public-policy/issues/cybersecurity, 2017,

Michael Kerber, Dmitriy Morozov, Arnur Nigmetov, "Geometry Helps to Compare Persistence Diagrams", Journal of Experimental Algorithmics, 2017, 22:1.4:1--1.4, doi: 10.1145/3064175

Dmitriy Smirnov, Dmitriy Morozov, Triplet Merge Trees, 2017,

Herbert Edelsbrunner, Dmitriy Morozov, "Persistent Homology", Handbook of Discrete and Computational Geometry, 3rd ed., (CRC Press: 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

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

Gilberto Z. Pastorello, "Generation of Uniform Data Products for AmeriFlux and FLUXNET", The practice of reproducible research: case studies and lessons from the data-intensive sciences, (University of California Press: 2017) Pages: 305-309

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

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

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

TP Straatsma, KB Antypas, TJ Williams, Exascale scientific applications: Scalability and performance portability, Exascale Scientific Applications: Scalability and Performance Portability, Pages: 1--580 2017, doi: 10.1201/b21930

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,

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

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

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

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

Yingqi Xiong, Bin Wang, Zhiyuan Cao, Chi-cheng Chu, Hemanshu Pota, Rajit Gadh, "Extension of IEC61850 with smart EV charging", Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016 IEEE, Melbourne, VIC, Australia, IEEE, December 26, 2016, 294 - 299, doi: 10.1109/ISGT-Asia.2016.7796401

Un-coordinated Electric Vehicle (EV) charging behaviors will impact the power grid and degrade power quality. Smart charging system can optimally allocate the energy among EVs and minimize the impact on grid. IEC 61850 is an international standard for distribution & substation automation and intelligence device communication in smart grid. This paper introduces the extension of IEC 61850 with smart EV scheduling algorithms, considering current multiplexing, power sharing strategies and user behaviors. We have developed an IEC 61850 abstract data model for the information exchanged among components of smart EV charging infrastructures, including the EV charging control center, intelligent Electric Vehicle Supply Equipment (EVSE) and the EV users with mobile applications. Real-world EV usage data on UCLA campus is utilized in the simulation experiment, which is based on the predictive control paradigm. The data model is instantiated by a web service on EV control center by converting the raw data streams from EVSEs in various formats, such as JSON or raw string, etc. into a standardized IEC 61850 SCL file, which contains the critical meter data and charging session parameters. The system cost performance, the interoperability and scalability of smart EV charging infrastructure are greatly improved.

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,

E. Vecharynski, A. Knyazev, "Preconditioned steepest descent-like methods for symmetric indefinite systems", Linear Algebra and its Applications, Vol. 511, pp. 274–295, 2016,

We construct preconditioned steepest descent (PSD)-like methods for iterative solution of symmetric indefinite linear systems using symmetric and positive definite (SPD) preconditioners. Our construction is based on a locally optimal residual minimization over two-dimensional subspaces, mathematically equivalent in exact arithmetic to preconditioned MINRES (PMINRES) restarted after every two steps. A convergence bound is derived. If certain information on the spectrum of the preconditioned system is available, we present a simpler PSD-like algorithm that performs only one-dimensional residual minimization. Search direction randomization for accelerating this algorithm is discussed. Our primary goal is to bridge the theoretical gap between the optimal (PMINRES) and PSD-like methods for solving symmetric indefinite systems. We also demonstrate situations where the suggested PSD-like schemes can be preferable to the optimal PMINRES iteration. 

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

K. A. Lawal, A. A. Abatan, O. Ang\'elil, E. Olaniyan, V. H. Olusoji, P. G. Oguntunde, B. Lamptey, B. J. Abiodun, H. Shiogama, M. F. Wehner, D. A. Stone, "The late onset of the 2015 wet season in Nigeria", Bulletin of the American Meteorological Society, 2016, 97:S63-S69, doi: 10.1175/BAMS-D-16-0131.2

Sean Peisert, Overcoming Security and Privacy Challenges in Computing and Networking in Medical Research Environments, Department of Public Health Sciences, University of California, Davis School of Medicine,, December 14, 2016,

Wenzhao Zhang, Houjun Tang, Xiaocheng Zou, Steven Harenberg, Qing Liu, Scott Klasky, Nagiza F Samatova, "Exploring Memory Hierarchy to Improve Scientific Data Read Performance", 2015 IEEE International Conference on Cluster Computing, 2016, 66--69,

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,

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.

R. Atta-Fynn, E.J. Bylaska, W.A. de Jong, "Strengthening of the Coordination Shell by Counter Ions in Aqueous Th4+ Solutions", J. Phys. Chem. A, December 1, 2016, 120:10216–1022, doi: 10.1021/acs.jpca.6b09878

Sam Fries, Sasha Ames, Alex Sim, Dean Williams, "HPSS Connections to ESGF: BASEJumper", 2016 Earth System Grid Federation (ESGF) Conference, 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

J. Wang, W. Yoo (Advisor), A. Sim (Advisor), K. Wu (Advisor), "Analysis of Variable Selection Methods on Scientific Cluster Measurement Data", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’16), ACM Student Research Competition (SRC), Second place winner, 2016, 2016,

M. Bae, W. Yoo (Advisor), A. Sim (Advisor), K. Wu (Advisor), "Discovering Energy Resource Usage Patterns on Scientific Clusters", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’16), ACM Student Research Competition (SRC), Third place winner, 2016, 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,

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

Samuel Williams, HPGMG on the Knights Landing Processor, HPGMG BoF, Supercomputing, November 2016,

Vladimir Marjanovic, Communication and Vectorization within HPGMG, HPGMG BoF, Supercomputing, November 2016,

Peng Wang, Nikolay Sakharnykh, HPGMG PERFORMANCE ON PASCAL GPU ARCHITECTURE, HPGMG BoF, Supercomputing, November 2016,

Samuel Williams, HPGMG Benchmark, Top500 BoF, Supercomputing, November 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,

Taylor Barnes, Brandon Cook, Jack Deslippe, Douglas Doerfler, Brian Friesen, Yun (Helen) He, Thorsten Kurth, Tuomas Koskela, Mathieu Lobet, Tareq Malas, Leonid Oliker, Andrey Ovsyannikov, Abhinav Sarje, Jean-Luc Vay, Henri Vincenti, Samuel Williams, Pierre Carrier, Nathan Wichmann, Marcus Wagner, Paul Kent, Christopher Kerr, John Dennis, "Evaluating and Optimizing the NERSC Workload on Knights Landing", Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), November 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,

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,

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,

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,

Seher Acer, R. Oguz Selvitopi, Cevdet Aykanat, "Improving performance of sparse matrix dense matrix multiplication on large-scale parallel systems", Journal of Parallel Computing (PARCO), November 2016, 59:71-96, doi: 10.1016/j.parco.2016.10.001

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

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

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

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

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

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,

R. Oguz Selvitopi, Kadir Akbudak, Cevdet Aykanat, "Parallelization of Sparse Matrix Kernels for Big Data Applications", Resource Management for Big Data Platforms, edited by Pop F., Kołodziej J., Di Martino B. , (Springer: October 2016) Pages: 367-382 doi: 10.1007/978-3-319-44881-7_17

Alessio Petrone, David Lingerfelt, David Williams-Young, Xiaosong Li, "Ab Initio Transient Vibrational Spectral Analysis", Journal of Physical Chemistry Letters, 2016, 7:4501-4508, doi: 10.1021/acs.jpclett.6b02292

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,

Sean Peisert (moderator), Jill Gemmill, Michael Sinatra, Von Welch, National Cybersecurity Panel, NSF Campus Cyberinfrastructure/ESCC/The Quilt Colocated Meeting, October 20, 2016,

Gillett, N. P., H. Shiogama, B. Funke, G. Hegerl, R. Knutti, K. Matthes, B. D. Santer, D. Stone, C. Tebaldi, "The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6", Geoscientific Model Development, 2016, 9:3685-3697, doi: 10.5194/gmd-9-3685-2016

David Bruce Williams-Young, Joshua J. Goings, Xiaosong Li, "Accelerating Real-Time Time-Dependent Density Functional Theory with a Non-Recursive Chebyshev Expansion of the Quantum Propagator", Journal of Chemical Theory and Computation, 2016, 12:5333-5338, doi: 10.1021/acs.jctc.6b00693

Bin Wang, Yubo Wang, Hamidreza Nazaripouya, Charlie Qiu, Chi-Cheng Chu, Rajit Gadh, "Predictive Scheduling Framework for Electric Vehicles with Uncertainties of User Behaviors", IEEE Internet of Things Journal, October 13, 2016, 4:52 - 63, doi: 10.1109/JIOT.2016.2617314

The randomness of user behaviors plays a significant role in electric vehicle (EV) scheduling problems, especially when the power supply for EV supply equipment (EVSE) is limited. Existing EV scheduling methods do not consider this limitation and assume charging session parameters, such as stay duration and energy demand values, are perfectly known, which is not realistic in practice. In this paper, based on real-world implementations of networked EVSEs on University of California at Los Angeles campus, we developed a predictive scheduling framework, including a predictive control paradigm and a kernel-based session parameter estimator. Specifically, the scheduling service periodically computes for cost-efficient solutions, considering the predicted session parameters, by the adaptive kernel-based estimator with improved estimation accuracies. We also consider the power sharing strategy of existing EVSEs and formulate the virtual load constraint to handle the future EV arrivals with unexpected energy demand. To validate the proposed framework, 20-fold cross validation is performed on the historical dataset of charging behaviors for over one-year period. The simulation results demonstrate that average unit energy cost per kWh can be reduced by 29.42% with the proposed scheduling framework and 66.71% by further integrating solar generations with the given capacity, after the initial infrastructure investment. The effectiveness of kernel-based estimator, virtual load constraint, and event-based control scheme are also discussed in detail.

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

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

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,

Lee Beausoleil, David Lombard, Angelos Keromytis, Sean Peisert, Panel: HPC Monitoring, NSCI: High-Performance Computing Security Workshop, September 30, 2016,

Sean Peisert, Security Expert on Why HPC Matters - Cybersecurity for HPC Systems: Challenges and Opportunities, NSCI: High-Performance Computing Security Workshop, September 29, 2016,

journalcover 2016 10

C. Huggel, I. Wallimann-Helmer, D. Stone, W. Cramer, "Reconciling justice and attribution research to advance climate policy", Nature Climate Change, 2016, 6:901-908, doi: 10.1038/NCLIMATE3104

David Bruce Williams-Young, Franco Egidi, Xiaosong Li, "Relativistic Particle-Particle Tamm-Dancoff Approximation", Journal of Chemical Theory and Computation, 2016, 12:5379-5384, doi: 10.1021/acs.jctc.6b00833

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.

S.L. Cornford, D.F.Martin, V. Lee, A.J. Payne, E.G. Ng, "Adaptive mesh refinement versus subgrid friction interpolation in simulations of Antarctic ice dynamics", Annals of Glaciology, September 2016, 57 (73), doi: 10.1017/aog.2016.13

Mahdi Jamei, Emma Stewart, Sean Peisert, Anna Scaglione, Chuck McParland, Ciaran Roberts, Alex McEachern, "Micro Synchrophasor-Based Intrusion Detection in Automated Distribution Systems: Towards Critical Infrastructure Security", IEEE Internet Computing, September 2016, 20(5):18-27, doi: 10.1109/MIC.2016.102

W. Yoo, M. Koo, Y. Cao, A. Sim, P. Nugent, K. Wu, "Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters", Conquering Big Data with High Performance Computing, edited by R. Arora, (Springer International: 2016) Pages: 139-161 doi: 10.1007/978-3-319-33742-5

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,

Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky, "Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma", IEEE Transactions on Big Data (TBD), 2016, 2:3:262-275, doi: 10.1109/TBDATA.2016.2599929

R. Oguz Selvitopi, Cevdet Aykanat, "Reducing latency cost in 2D sparse matrix partitioning models", Journal of Parallel Computing (PARCO), September 2016, 57:1-24, doi: 10.1016/j.parco.2016.04.004

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,

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

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

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,

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,

Abhinav Sarje, Achieving High Parallel Efficiency on Modern Processors for X-ray Scattering Data Analysis, EuroPar 2016, August 22, 2016,

R. Li, Y. Xi, E. Vecharynski, C. Yang, and Y. Saad, "A Thick-Restart Lanczos algorithm with polynomial filtering for Hermitian eigenvalue problems", SIAM Journal on Scientific Computing, Vol. 38, Issue 4, pp. A2512–A2534, 2016, doi: 10.1137/15M1054493

Polynomial filtering can provide a highly effective means of computing all eigenvalues of a real symmetric (or complex Hermitian) matrix that are located in a given interval, anywhere in the spectrum. This paper describes a technique for tackling this problem by combining a Thick-Restart version of the Lanczos algorithm with deflation ('locking') and a new type of polynomial filters obtained from a least-squares technique. The resulting algorithm can be utilized in a 'spectrum-slicing' approach whereby a very large number of eigenvalues and associated eigenvectors of the matrix are computed by extracting eigenpairs located in different sub-intervals independently from one another.

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,

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

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,

H. Shiogama, Y. Imada, M. Mori, R. Mizuta, D. Stone, K. Yoshida, O. Arakawa, M. Ikeda, C. Takahashi, M. Arai, M. Ishii, M. Watanabe, and M. Kimoto, "Attributing historical changes in probabilities of record-breaking daily temperature and precipitation extreme events", Scientific Online Letters on the Atmosphere, 2016, 12:225-231, doi: 10.2151/sola.2016-045

Nikolaos Alachiotis, Doru Thom Popovici, Tze Meng Low, "Efficient Computation of Linkage Disequilibria as Dense Linear Algebra Operations", IPDPS HiCOMB, 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,

Daniele Sorini, José Oñorbe, Zarija Lukić, Joseph Hennawi, "Modeling the Lyman-alpha Forest in Collisionless Simulations", The Astrophysical Journal, 2016, 827:97,

Zhangpeng Guo, Nicolas Zweibaum, Meiyue Shao, Lakshana R. Huddar, Per F. Peterson, and Suizheng Qiu, "Development of the FHR advanced natural circulation analysis code and application to FHR safety analysis", Progress in Nuclear Energy, 2016, 91:56–67, doi: 10.1016/j.pnucene.20

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)

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.

Xylar S. Asay-Davis, Stephen L. Cornford, Gaël Durand, Benjamin K. Galton-Fenzi, Rupert M. Gladstone, G. Hilmar Gudmundsson, Tore Hattermann, David M. Holland, Denise Holland, Paul R. Holland, Daniel F. Martin, Pierre Mathiot, Frank Pattyn, Hélène Seroussi, "Experimental design for three interrelated marine ice sheet and ocean model intercomparison projects: MISMIP v. 3 (MISMIP +), ISOMIP v. 2 (ISOMIP +) and MISOMIP v. 1 (MISOMIP1)", Geoscientific Model Development, July 2016, 9(7), doi: doi:10.5194/gmd-9-2471-2016

Bin Wang, Rui Huang, Yubo Wang, Hamidreza Nazaripouya, Charlie Qiu, Chi-Cheng Chu, Rajit Gadh, "Predictive Scheduling for Electric Vehicles Considering Uncertainty of Load and User Behaviors", 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), Dallas, TX, USA, IEEE, July 25, 2016, 1 - 5, doi: 10.1109/TDC.2016.7520018

Un-coordinated Electric Vehicle (EV) charging can create unexpected load in local distribution grid, which may degrade the power quality and system reliability. The uncertainty of EV load, user behaviors and other baseload in distribution grid, is one of challenges that impedes optimal control for EV charging problem. Previous researches did not fully solve this problem due to lack of real-world EV charging data and proper stochastic model to describe these behaviors. In this paper, we propose a new predictive EV scheduling algorithm (PESA) inspired by Model Predictive Control (MPC), which includes a dynamic load estimation module and a predictive optimization module. The user-related EV load and base load are dynamically estimated based on the historical data. At each time interval, the predictive optimization program will be computed for optimal schedules given the estimated parameters. Only the first element from the algorithm outputs will be implemented according to MPC paradigm. Current-multiplexing function in each Electric Vehicle Supply Equipment (EVSE) is considered and accordingly a virtual load is modeled to handle the uncertainties of future EV energy demands. This system is validated by the real-world EV charging data collected on UCLA campus and the experimental results indicate that our proposed model not only reduces load variation up to 40% but also maintains a high level of robustness. Finally, IEC 61850 standard is utilized to standardize the data models involved, which brings significance to more reliable and large-scale implementation.

H. Nazaripouya, B. Wang, Y. Wang, P. Chu, H. R. Pota, R. Gadh, "Univariate Time Series Prediction of Solar Power Using a Hybrid Wavelet-ARMA-NARX Prediction Method", 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), Dallas, TX, USA, IEEE, July 25, 2016, 1 - 5, doi: 10.1109/TDC.2016.7519959

This paper proposes a new hybrid method for super short-term solar power prediction. Solar output power usually has a complex, nonstationary, and nonlinear characteristic due to intermittent and time varying behavior of solar radiance. In addition, solar power dynamics is fast and is inertia less. An accurate super short-time prediction is required to compensate for the fluctuations and reduce the impact of solar power penetration on the power system. The objective is to predict one step-ahead solar power generation based only on historical solar power time series data. The proposed method incorporates discrete wavelet transform (DWT), Auto-Regressive Moving Average (ARMA) models, and Recurrent Neural Networks (RNN), while the RNN architecture is based on Nonlinear Auto-Regressive models with eXogenous inputs (NARX). The wavelet transform is utilized to decompose the solar power time series into a set of richer-behaved forming series for prediction. ARMA model is employed as a linear predictor while NARX is used as a nonlinear pattern recognition tool to estimate and compensate the error of wavelet-ARMA prediction. The proposed method is applied to the data captured from UCLA solar PV panels and the results are compared with some of the common and most recent solar power prediction methods. The results validate the effectiveness of the proposed approach and show a considerable improvement in the prediction precision.

Yubo Wang, Bin Wang, Tianyang Zhang, Hamidreza Nazaripouya, Chi-Cheng Chu, Rajit Gadh, "Optimal Energy Management for Microgrid with Stationary and Mobile Storages", 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), Dallas, TX, USA, IEEE, July 25, 2016, 1 - 5, doi: 10.1109/TDC.2016.7520004

This paper studies energy management in a Microgrid (MG) with solar generation, Battery Energy Management System (BESS) and gridable (V2G) Electric Vehicles (EVs). A two-stage stochastic optimization method is proposed to capture the intermittent solar generation and random EV user behaviors. It is subsequently formulated as a Mixed Integer Linear Programming (MILP) problem. To evaluate the proposed method, real solar generation, loads, BESS and EV data is used in Sample Average Approximation (SAA). Computational results show the correctness of the proposed method as well as steady and tightly bounded optimality gap. Comparisons demonstrate that the proposed stochastic method outperforms its deterministic counterpart at the expense of higher computational cost. It is also observed that moderate number of EVs helps to reduce the overall operational cost of the MG, which sheds light on future EV integration to the smart grid.

Yubo Wang, Bin Wang, Rui Huang, Chi-Cheng Chu, Hemanshu R. Pota, Rajit Gadh, "Two-Tier Prediction of Solar Power Generation with Limited Sensing Resource", 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), Dallas, TX, USA, IEEE, July 25, 2016, 1 - 5, doi: 10.1109/TDC.2016.7519968

This paper considers a typical solar installations scenario with limited sensing resources. In the literature, there exist either day-ahead solar generation prediction methods with limited accuracy, or high accuracy short timescale methods that are not suitable for applications requiring longer term prediction. We propose a two-tier (global-tier and local-tier) prediction method to improve accuracy for long term (24 hour) solar generation prediction using only the historical power data. In global-tier, we examine two popular heuristic methods: weighted k-Nearest Neighbors (k-NN) and Neural Network (NN). In local-tier, the global-tier results are adaptively updated using real-time analytical residual analysis. The proposed method is validated using the UCLA Microgrid with 35kW of solar generation capacity. Experimental results show that the proposed two-tier prediction method achieves higher accuracy compared to day-ahead predictions while providing the same prediction length. The difference in the overall prediction performance using either weighted k-NN based or NN based in the global-tier are carefully discussed and reasoned. Case studies with a typical sunny day and a cloudy day are carried out to demonstrate the effectiveness of the proposed two-tier predictions.

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,

W. Yoo, B. Foster, A. Sim, K. Wu, "Machine Learning Based Job Status Prediction in Scientific Clusters", IEEE SAI Computing Conference, 2016, 44-53, doi: 10.1109/SAI.2016.7555961

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,

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,

Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng, "Novel Data Reduction Based on Statistical Similarity", International Conference on Scientific and Statistical Database Management (SSDBM'16), New York, NY, USA, ACM, 2016, 21:1--21:1, doi: 10.1145/2949689.2949708

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

Brandon Cook, Pieter Maris, Meiyue Shao, Nathan Wichmann, Marcus Wagner, John O'Neill, Thanh Phung, Gaurav Bansal, "High performance optimizations for nuclear pyhsics code MFDn on KNL", High Performance Computing, 2016, 366--377, doi: 10.1007/978-3-319-46079-6_26

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,

Jonathan Ganz, Matt Bishop, and Sean Peisert, "Security Analysis of Scantegrity, an Electronic Voting System", University of California, Davis, Department of Computer Science Technical Report, June 2016,

Fabien Bruneval, Tonatiuh Rangel, Samia M. Hamed, Meiyue Shao, Chao Yang, Jeffrey B. Neaton, "MOLGW 1: many-body perturbation theory software for atoms, molecules, and clusters", Computer Physics Communications, 2016, 208:149–161, doi: 10.1016/j.cpc.2016.06.019

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

Douglas Doerfer, Jack Deslippe, Samuel Williams, Leonid Oliker, Brandon Cook, Thorsten Kurth, Mathieu Lobet, Tareq Malas, Jean-Luc Vay, and Henri Vincenti, "Applying the Roofline Performance Model to the Intel Xeon Phi Knights Landing Processor", Intel Xeon Phi User Group Workshop (IXPUG), June 2016,

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,

Robert Saye, James Sethian, "Multiscale modelling of evolving foams", Journal of Computational Physics, June 15, 2016, doi: 10.1016/j.jcp.2016.02.077

Alberto Gonzalez, Jason Leigh, Sean Peisert, Brian Tierney, Andrew Lee, Jennifer M. Schopf, "NetSage: Open Privacy-Aware Network Measurement, Analysis, And Visualization Service", Proceedings of TNC16 Networking Conference, Prague, Czech Republic, June 2016,

Robert Saye, "Interfacial gauge methods for incompressible fluid dynamics", Science Advances, June 10, 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,

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

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

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

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

Tan Nguyen, Data and Loop Abstractions for Portable Locality Management, 2016 High Performance Data Analysis and Visualization (HPDAV) Workshop, May 23, 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

 

Mark R. Krumholz, Andrew T. Myers, Richard I. Klein, Christopher F. McKee,, "What Physics Determines the Peak of the IMF? Insights from the Structure of Cores in Radiation-Magnetohydrodynamic Simulations", accepted by MNRAS, May 19, 2016,

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

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,

Abhinav Sarje, Douglas W. Jacobsen, Samuel W. Williams, Todd Ringler, Leonid Oliker, "Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers", Cray User Group (CUG), London, UK, May 2016,

Abhinav Sarje, Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers, Cray Users Group (CUG), May 12, 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,

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

Sean Peisert, William K. Barnett, Eli Dart, James Cuff, Robert L. Grossman, Edward Balas, Ari Berman, Anurag Shankar, Brian Tierney, "The Medical Science DMZ", Journal of the American Medical Informatics Association (JAMIA), May 2, 2016, 23(6):1199-1201, doi: 10.1093/jamia/ocw032

Nils E. R. Zimmermann, Maciej Haranczyk, "History and Utility of Zeolite Framework-Type Discovery from a Data-Science Perspective", Crystal Growth & Design, May 2, 2016, 16:3043-3048,

Mature applications such as fluid catalytic cracking and hydrocracking rely critically on early zeolite structures. With a data-driven approach, we find that the discovery of exceptional zeolite framework types around the new millennium was spurred by exciting new utilization routes. The promising processes have yet not been successfully implemented (“valley of death” effect), mainly because of the lack of thermal stability of the crystals. This foreshadows limited deployability of recent zeolite discoveries that were achieved by novel crystal synthesis routes.

Nils E. R. Zimmermann, Maciej Haranczyk, "History and Utility of Zeolite Framework-Type Discovery from a Data-Science Perspective", Crystal Growth & Design, May 2, 2016,

Mature applications such as fluid catalytic cracking and hydrocracking rely critically on early zeolite structures. With a data-driven approach, we find that the discovery of exceptional zeolite framework types around the new millennium was spurred by exciting new utilization routes. The promising processes have yet not been successfully implemented (“valley of death” effect), mainly because of the lack of thermal stability of the crystals. This foreshadows limited deployability of recent zeolite discoveries that were achieved by novel crystal synthesis routes.

Watch a movie illustrating our seeded simulation strategy here.

Hansen, G., and D. Stone, "Assessing the observed impact of anthropogenic climate change", Nature Climate Change, 2016, 6:532-537, doi: 10.1038/nclimate2896

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

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

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,

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.

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,

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,

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

Sean Peisert, CENIC 2016 Conference Panel: Security in R&E Networks and Campus Environments, 2016 CENIC Annual Conference, March 22, 2016,

Bin Wang, Yubo Wang, Charlie Qiu, Chi-Cheng Chu, Rajit Gadh, "Event-based Electric Vehicle Scheduling Considering Random User Behaviors", 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm), Miami, FL, USA, IEEE, March 21, 2016, 313-318, doi: 10.1109/SmartGridComm.2015.7436319

Uncontrolled Electric Vehicle (EV) and Plug-in Hybrid Electric Vehicle (PHEV) charging within a local distribution grid may cause unexpected high load, which further results in power quality degradation. However, coordinating charging behaviors of a number of EVs is a challenging task, which involves not only the deterministic schedule computing but also nondeterministic EV driver behaviors with random arrival time and energy demands. Previous researches in this area rarely consider these random behaviors for real EV users. In this paper, an implementable event-based cost optimal scheduling algorithm (ECSA) is developed, which solves EV scheduling problem by dynamically estimating the stay duration and energy demand for each participating EV user. Datasets, including users' historical charging records and time series meter data collected from Electric Vehicle Supply Equipments (EVSEs) in UCLA campus, are utilized for feature extraction. Based on that, proper inference technique is employed to determine parameters within each charging session. In addition, solar generation integration into EVSEs is also considered in our problem formulation. The proposed approaches are tested and validated by real EV charging schedules of users in UCLA campus. The results from simulation experiment demonstrate that the proposed algorithm has a better performance in cost minimization and load shifting compared to existing equal-sharing scheduling algorithm (ESSA).

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

R. Van Beeumen, E. Jarlebring, W. Michiels, "A rank-exploiting infinite Arnoldi algorithm for nonlinear eigenvalue problems", Numerical Linear Algebra with Applications, 2016, 23:607-628, doi: 10.1002/nla.2043

Z. Wen, C. Yang, X. Liu and Y. Zhang, "A Penalty-based Trace Minimization Method for Large-scale Eigenspace Computation", J. Sci. Comp., March 1, 2016, 66:1175-1203, doi: 10.1007/s10915-015-0061-0

Sean Peisert, Computer Security & the Electric Power Grid, 15th Annual ON*VECTOR Photonics Workshop, March 1, 2016,

E. Vecharynski, C. Yang, and F. Xue, "Generalized preconditioned locally harmonic residual method for non-Hermitian eigenproblems", SIAM Journal on Scientific Computing, Vol. 38, No. 1, pp. A500–A527, 2016, doi: 10.1137/15M1027413

We introduce the Generalized Preconditioned Locally Harmonic Residual (GPLHR) method for solving standard and generalized non-Hermitian eigenproblems. The method is particularly useful for computing a subset of eigenvalues, and their eigen- or Schur vectors, closest to a given shift. The proposed method is based on block iterations and can take advantage of a preconditioner if it is available. It does not need to perform exact shift-and-invert transformation. Standard and generalized eigenproblems are handled in a unified framework. Our numerical experiments demonstrate that GPLHR is generally more robust and efficient than existing methods, especially if the available memory is limited.

David Lingerfelt, David Bruce Williams-Young, Alessio Petrone, Xiaosong Li, "Direct Ab Initio (Meta-)Surface-Hopping Dynamics", Journal of Chemical Theory and Computation, 2016, 12:935-945, doi: 10.1021/acs.jctc.5b00697

E. Vecharynski and C. Yang, "Preconditioned iterative methods for eigenvalue counts", to appear in Proceedings of International Workshop on Eigenvalue Problems: Algorithms, Software and Applications in Petascale Computing, in Lecture Notes in Computational Science and Engineering, Springer, 2016,

We describe preconditioned iterative methods for estimating the number of eigenvalues of a Hermitian matrix within a given interval. Such estimation is useful in a number of applications.In particular, it can be used to develop an efficient spectrum-slicing strategy to compute many eigenpairs of a Hermitian matrix. Our method is based on the Lanczos- and Arnoldi-type of iterations. We show that with a properly defined preconditioner, only a few iterations may be needed to obtain a good estimate of the number of eigenvalues within a prescribed interval. We also demonstrate that the number of iterations required by the proposed preconditioned schemes is independent of the size and condition number of the matrix. The efficiency of the methods is illustrated on several problems arising from density functional theory based electronic structure calculations.

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,

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

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,

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

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,

R.M. Cox, P.B. Armentrout, W.A. de Jong, "Reactions of Th+ + H2, D2, and HD Studied by Guided Ion Beam Tandem Mass Spectrometry and Quantum Chemical Calculations", J. Phys. Chem. B – Bruce Garrett Festschrift, February 1, 2016, 120:1601, doi: 10.1021/acs.jpcb.5b08008

Miroslav Urbanek, Pavel Soldán, "Parallel implementation of the time-evolving block decimation algorithm for the Bose–Hubbard model", Computer Physics Communications, 2016, 199:170–177, doi: 10.1016/j.cpc.2015.10.016

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

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,

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.

Shiogama, H., , D. Stone, S. Emori, K. Takahashi, S. Mori, A. Maeda, Y. Ishizaki, and M. R. Allen, "Predicting future uncertainty constraints on global warming projections", Scientific Reports, 2016, doi: 10.1038/srep18903

E. Vecharynski, "A generalization of Saad's bound on harmonic Ritz vectors of Hermitian matrices", Linear Algebra and its Applications, Vol. 494, pp. 219-235, 2016, doi: 10.1016/j.laa.2016.01.013

We prove a Saad's type bound for harmonic Ritz vectors of a Hermitian matrix. The new bound reveals a dependence of the harmonic Rayleigh-Ritz procedure on the condition number of a shifted problem operator. Several practical implications are discussed. In particular, the bound motivates incorporation of preconditioning into the harmonic Rayleigh-Ritz scheme.

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,

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,

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,

J Müller, "MISO: mixed-integer surrogate optimization framework", Optimization and Engineering, January 2016, 17:177--203, doi: 10.1007/s11081-015-9281-2

Meiyue Shao, Felipe H. da Jornada, Chao Yang, Jack Deslippe, Steven G. Louie, "Structure preserving parallel algorithms for solving the Bethe–Salpeter eigenvalue problem", Linear Algebra and its Applications, 2016, 488:148–167, doi: 10.1016/j.laa.2015.09.036

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

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,

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,

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

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

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,

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

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,

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

G. Abla, E. N. Coviello, S. M. Flanagan, M., X. Lee, A. Romosan, D. P. Schissel A. Shoshani, J. Stillerman, J. Wright, K., The MPO system for automatic workflow, Fusion Engineering and Design, Pages: - 2016, doi: http://dx.doi.org/10.1016/j.fusengdes.2016.04.023

Bin Dong, Surendra Byna, Kesheng Wu, SDS-Sort: Scalable Dynamic Skew-aware Parallel, HPDC 16, Pages: 57--68 2016, doi: 10.1145/2907294.2907300

D. Pugmire, J. Kress, J. Choi, S. Klasky, Kurc, R. M. Churchill, M. Wolf, G., H. Childs, K. Wu, A. Sim, J. Gu J. Low, Visualization and Analysis for Near-Real-Time Decision in Distributed Workflows, 2016 IEEE International Parallel and Distributed Symposium Workshops (IPDPSW), Pages: 1007--1013 2016, doi: 10.1109/IPDPSW.2016.175

T. Wu, H. Shyng, J. Chou, B. Dong, K. Wu, Indexing Blocks to Reduce Space and Time Requirements Searching Large Data Files, 2016 16th IEEE/ACM International Symposium on Cluster, and Grid Computing (CCGrid), Pages: 398--402 2016, doi: 10.1109/CCGrid.2016.18

Kesheng Wu, Elizabeth N Coviello, SM Flanagan Martin Greenwald, Xia Lee, Alex Romosan, P Schissel, Arie Shoshani, Josh Stillerman John Wright, MPO: A System to Document and Analyze Distributed Workflows, International Provenance and Annotation Workshop, Pages: 166--170 2016, doi: 10.1007/978-3-319-40593-3_14

DML Brown, H Cho, WA De Jong, "Bridging experiment and theory: A template for unifying NMR data and electronic structure calculations", Journal of Cheminformatics, January 1, 2016, 8, doi: 10.1186/s13321-016-0120-z

H Shan, S Williams, Y Zheng, W Zhang, B Wang, S Ethier, Z Zhao, IEEE, "Experiences of Applying One-Sided Communication to Nearest-Neighbor Communication", PROCEEDINGS OF PAW 2016: 1ST PGAS APPLICATIONS WORKSHOP (PAW), January 2016, 17--24, doi: 10.1109/PAW.2016.8

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

 

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

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

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,

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,

P Fischer, X Shi, V Neu, D Elefant, JCT Lee, DA Shapiro, M Farmand, T Tyliszczak, W Shiu, S Marchesini, others, Soft x-ray ptychography studies of nanoscale magnetic and structural correlations in thin SmCo5 films, Bulletin of the American Physical Society, 2016,

Keri Troutman, Elke Arenholz, Stefano Marchesini, David Shapiro, Chenhui Zhu, Alessandra Lanzara, James Analytis, Ashvin Vishwanath, ALS User Meeting Highlights Accomplishments and Challenges, Synchrotron Radiation News, Pages: 7--11 2016,

Y. Cao, P. E. Nugent, M. M. Kasliwal, "Intermediate Palomar Transient Factory: Realtime Image Subtraction Pipeline", Publications of the ASP, 2016, 128:114502, doi: 10.1088/1538-3873/128/969/114502

Y. Cao, S. R. Kulkarni, A. Gal-Yam, S. Papadogiannakis, P. E. Nugent, F. J. Masci, B. D. Bue, "SN2002es-like Supernovae from Different Viewing Angles", Astrophysical Journal, 2016, 832:86, doi: 10.3847/0004-637X/832/1/86

A. Corsi, A. Gal-Yam, S. R. Kulkarni, D. A. Frail, P. A., S. B. Cenko, M. M. Kasliwal, Y., A. Horesh, N. Palliyaguru, D. A. Perley, R. R., F. Taddia, G. Leloudas, K. Maguire, P. E. Nugent, J. Sollerman, M. Sullivan, "Radio Observations of a Sample of Broad-line Type IC Supernovae Discovered by PTF/IPTF: A Search for Relativistic Explosions", Astrophysical Journal, 2016, 830:42, doi: 10.3847/0004-637X/830/1/42

D. A. Perley, R. M. Quimby, L. Yan, P. M. Vreeswijk, A. Cia, R. Lunnan, A. Gal-Yam, O. Yaron, A. V., M. L. Graham, R. Laher, P. E. Nugent, "Host-galaxy Properties of 32 Low-redshift Superluminous Supernovae from the Palomar Transient Factory", Astrophysical Journal, 2016, 830:13, doi: 10.3847/0004-637X/830/1/13

N. T. Palliyaguru, A. Corsi, M. M. Kasliwal, S. B., D. A. Frail, D. A. Perley, N. Mishra, L. P., A. Gal-Yam, P. E. Nugent, J. A. Surace, "Radio Follow-up of Gravitational-wave Triggers during Advanced LIGO O1", Astrophysical Journal Letters, 2016, 829:L28, doi: 10.3847/2041-8205/829/2/L28

C. Fremling, J. Sollerman, F. Taddia, M. Ergon, M., E. Karamehmetoglu, S. Valenti, A., I. Arcavi, F. Bufano, N. Elias Rosa, A. V., D. Fox, A. Gal-Yam, D. A. Howell, R., P. Mazzali, D. Milisavljevic, P. E. Nugent, A. Nyholm, E. Pian, S. Smartt, "PTF12os and iPTF13bvn. Two stripped-envelope supernovae from low-mass progenitors in NGC 5806", Astronomy and Astrophysics, 2016, 593:A68, doi: 10.1051/0004-6361/201628275

B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy, F., K. Ackley, C. Adams, T. Adams, P. Addesso, R. X. Adhikari, et al., Supplement: \ldquoLocalization and Broadband Follow-up of the Gravitational-wave Transient GW150914\rdquo (2016, ApJL, 826, L13), Astrophysical Journal Supplement, Pages: 8 2016, doi: 10.3847/0067-0049/225/1/8

B. P. Abbott, R. Abbott, T. D. Abbott, M. R. Abernathy, F., K. Ackley, C. Adams, T. Adams, P. Addesso, R. X. Adhikari, et al., Localization and Broadband Follow-up of the Gravitational-wave Transient GW150914, Astrophysical Journal Letters, Pages: L13 2016, doi: 10.3847/2041-8205/826/1/L13

R. Ferretti, R. Amanullah, A. Goobar, J. Johansson, P. M., R. P. Butler, Y. Cao, S. B. Cenko, G., A. V. Filippenko, E. Freeland, G. Hosseinzadeh, D. A., P. Lundqvist, S. Mattila, J. Nordin, P. E., T. Petrushevska, S. Valenti, S. Vogt, P. Wozniak, Time-varying sodium absorption in the Type Ia supernova 2013gh, Astronomy and Astrophysics, Pages: A40 2016, doi: 10.1051/0004-6361/201628351

L. Tartaglia, A. Pastorello, M. Sullivan, C., D. Rabinowitz, P. Nugent, A. J. Drake, S. G., A. Gal-Yam, S. Fabrika, E. A., V. P. Goranskij, A. F. Valeev, T., S. Schulze, A. Mehner, F. E. Bauer, S., J. Nordin, S. Valenti, D. A. Howell, S., E. Cappellaro, G. Fasano, N. Elias-Rosa, M., D. Bettoni, A. Harutyunyan, T. Kangas, E., J. C. Martin, S. Mattila, A. Morales-Garoffolo, P., U. D. Rebbapragada, G. Terreran, L., M. Turatto, E. Verroi, P. R. Wo\ zniak, "Interacting supernovae and supernova impostors. LSQ13zm: an outburst heralds the death of a massive star", Monthly Notices of the RAS, 2016, 459:1039-1059, doi: 10.1093/mnras/stw675

M. M. Kasliwal, S. B. Cenko, L. P. Singer, A., Y. Cao, T. Barlow, V. Bhalerao, E., D. Cook, G. E. Duggan, R. Ferretti, D. A., A. Horesh, R. Kendrick, S. R. Kulkarni, R., N. Palliyaguru, R. Laher, F. Masci, I., A. A. Miller, P. E. Nugent, D. Perley, T. A., R. M. Quimby, J. Rana, U. Rebbapragada, B., A. Singhal, J. Surace, A. Van Sistine, "iPTF Search for an Optical Counterpart to Gravitational-wave Transient GW150914", Astrophysical Journal Letters, 2016, 824:L24, doi: 10.3847/2041-8205/824/2/L24

E. O. Ofek, S. B. Cenko, N. J. Shaviv, G. Duggan, N.-L., A. Rubin, S. R. Kulkarni, A., M. Sullivan, Y. Cao, P. E. Nugent, M. M., J. Sollerman, C. Fransson, A. V., D. A. Perley, O. Yaron, R. Laher, "PTF13efv\mdashAn Outburst 500 Days Prior to the SNHunt 275 Explosion and Its Radiative Efficiency", Astrophysical Journal, 2016, 824:6, doi: 10.3847/0004-637X/824/1/6

Y. Cao, J. Johansson, P. E. Nugent, A. Goobar, J., S. R. Kulkarni, S. B. Cenko, O. D. Fox, M. M., C. Fremling, R. Amanullah, E. Y., D. A. Perley, B. D. Bue, F. J. Masci, W. H. Lee, N. Chotard, "Absence of Fast-moving Iron in an Intermediate Type Ia Supernova between Normal and Super-Chandrasekhar", Astrophysical Journal, 2016, 823:147, doi: 10.3847/0004-637X/823/2/147

C. E. Harris, P. E. Nugent, D. N. Kasen, "Against the Wind: Radio Light Curves of Type Ia Supernovae Interacting with Low-density Circumstellar Shells", Astrophysical Journal, 2016, 823:100, doi: 10.3847/0004-637X/823/2/100

S. J. Prentice, P. A. Mazzali, E. Pian, A. Gal-Yam, S. R., A. Rubin, A. Corsi, C. Fremling, J., O. Yaron, I. Arcavi, W. Zheng, M. M., A. V. Filippenko, S. B. Cenko, Y. Cao, P. E. Nugent, "The bolometric light curves and physical parameters of stripped-envelope supernovae", Monthly Notices of the RAS, 2016, 458:2973-3002, doi: 10.1093/mnras/stw299

N. Ganot, A. Gal-Yam, E. O. Ofek, I. Sagiv, E., O. Lapid, S. R. Kulkarni, S. Ben-Ami, M. M., ULTRASAT Science, D. Chelouche, S., E. Behar, A. Laor, D. Poznanski, E., D. Maoz, B. Trakhtenbrot, WTTH Consortium, J. D., T. A. Barlow, C. D. Martin, S. Gezari, Science Team, I. Arcavi, J. S. Bloom, P. E., M. Sullivan, Palomar Transient Factory, The Detection Rate of Early UV Emission from Supernovae: A Dedicated Galex/PTF Survey and Calibrated Theoretical Estimates, Astrophysical Journal, Pages: 57 2016, doi: 10.3847/0004-637X/820/1/57

A. Rubin, A. Gal-Yam, A. De Cia, A. Horesh, D., E. O. Ofek, S. R. Kulkarni, I. Arcavi, I., O. Yaron, P. Vreeswijk, M. M. Kasliwal, S., D. A. Perley, Y. Cao, S. B. Cenko, U. D., P. R. Wo\ zniak, A. V. Filippenko, K. I., P. E. Nugent, Y.-C. Pan, C. Badenes, D. A., S. Valenti, D. Sand, J. Sollerman, J., D. C. Leonard, J. C. Horst, S. F., J. M. Fedrow, R. M. Quimby, P. Mazzali, E., A. Sternberg, T. Matheson, M. Sullivan, K. Maguire, S. Lazarevic, "Type II Supernova Energetics and Comparison of Light Curves to Shock-cooling Models", Astrophysical Journal, 2016, 820:33, doi: 10.3847/0004-637X/820/1/33

F. Taddia, P. Moquist, J. Sollerman, A. Rubin, G., A. Gal-Yam, I. Arcavi, Y. Cao, A. V., M. L. Graham, P. A. Mazzali, P. E., Y.-C. Pan, J. M. Silverman, D. Xu, O. Yaron, Metallicity from Type II supernovae from the (I)PTF, Astronomy and Astrophysics, Pages: L7 2016, doi: 10.1051/0004-6361/201527983

M. Smith, M. Sullivan, C. B. D Andrea, F. J. Castander, R., S. Prajs, A. Papadopoulos, R. C. Nichol, N. V., S. R. Bernard, P. Brown, R. Cartier, J., C. Curtin, T. M. Davis, D. A. Finley, R. J., A. Gal-Yam, D. A. Goldstein, S., R. R. Gupta, D. A. Howell, C., R. Kessler, C. Lidman, J. Marriner, P., T. A. Pritchard, M. Sako, S. Smartt, R. C., H. Spinka, R. C. Thomas, R. C. Wolf, A., T. M. C. Abbott, A. Benoit-L\ evy, E., D. Brooks, E. Buckley-Geer, A. Carnero Rosell, M. Kind, J. Carretero, M. Crocce, C. E., L. N. da Costa, S. Desai, H. T. Diehl, P., J. Estrada, A. E. Evrard, B. Flaugher, P., J. Frieman, D. W. Gerdes, D. Gruen, R. A., D. J. James, K. Kuehn, N. Kuropatkin, O., T. S. Li, J. L. Marshall, P. Martini, C. J., R. Miquel, B. Nord, R. Ogando, A. A., K. Reil, A. K. Romer, A. Roodman, E. S., E. Sanchez, V. Scarpine, M. Schubnell, I., M. Soares-Santos, F. Sobreira, E., M. E. C. Swanson, G. Tarle, A. R. Walker, W. Wester, DES Collaboration, DES14X3taz: A Type I Superluminous Supernova Showing a Luminous, Rapidly Cooling Initial Pre-peak Bump, Astrophysical Journal Letters, Pages: L8 2016, doi: 10.3847/2041-8205/818/1/L8

D. Khazov, O. Yaron, A. Gal-Yam, I. Manulis, A., S. R. Kulkarni, I. Arcavi, M. M. Kasliwal, E. O., Y. Cao, D. Perley, J. Sollerman, A., M. Sullivan, A. V. Filippenko, P. E., D. A. Howell, S. B. Cenko, J. M. Silverman, H., F. Taddia, J. Johansson, R. R. Laher, J., U. D. Rebbapragada, P. R. Wozniak, T. Matheson, Flash Spectroscopy: Emission Lines from the Ionized Circumstellar Material around $\lt$10-day-old Type II Supernovae, Astrophysical Journal, Pages: 3 2016, doi: 10.3847/0004-637X/818/1/3

K.-G. Lee, J. F. Hennawi, M. White, J. X. Prochaska, A., D. J. Schlegel, R. M. Rich, N., C. W. Stark, O. Le F\ evre, P. E. Nugent, M. Salvato, G. Zamorani, "Shadow of a Colossus: A z 2.44 Galaxy Protocluster Detected in 3D Ly$\alpha$ Forest Tomographic Mapping of the COSMOS Field", Astrophysical Journal, 2016, 817:160, doi: 10.3847/0004-637X/817/2/160

K. S. Dawson, J.-P. Kneib, W. J. Percival, S., F. D. Albareti, S. F. Anderson, E. Armengaud, \ E., S. Bailey, J. E. Bautista, A. A., M. A. Bershady, F. Beutler, D., M. R. Blanton, M. Blomqvist, A. S. Bolton, J., W. N. Brandt, J. Brinkmann, J. R. Brownstein, E., N. G. Busca, Z. Cai, C.-H. Chuang, N., J. Comparat, F. Cope, R. A. C. Croft, I., L. N. da Costa, M.-C. Cousinou, J., A. de la Macorra, S. de la Torre, T., H. du Mas des Bourboux, T. Dwelly, A., D. J. Eisenstein, M. Eracleous, S., X. Fan, A. Finoguenov, A. Font-Ribera, P., P. Gaulme, A. Georgakakis, P., H. Guo, J. Guy, S. Ho, D. Holder, J., T. Hutchinson, Y. Jing, E. Jullo, V., K. Kinemuchi, D. Kirkby, F.-S. Kitaura, M. A., R. R. Laher, D. Lang, P. Laurent, J.-M. Goff, C. Li, Y. Liang, M. Lima, Q., W. Lin, Y.-T. Lin, D. C. Long, B., N. MacDonald, M. A. Geimba Maia, E., V. Malanushenko, V. Mariappan, C. K., I. D. McGreer, B. M\ enard, A., A. Meza, A. D. Montero-Dorta, D., A. D. Myers, K. Nandra, T. Naugle, J. A., P. Noterdaeme, P. Nugent, R. Ogando, M. D., A. Oravetz, D. J. Oravetz, N., N. Palanque-Delabrouille, K. Pan, J. K., I. P\^aris, J. A. Peacock, P., M. M. Pieri, A. Pisani, F. Prada, A., A. Raichoor, B. Reid, J. Rich, J., S. Rodriguez-Torres, A. Carnero Rosell, A. J., G. Rossi, J. Ruan, M. Salvato, C., D. P. Schneider, D. J. Schlegel, U., H.-J. Seo, B. Sesar, S. Shandera, Y., A. Slosar, F. Sobreira, A. Streblyanska, N., D. Taylor, C. Tao, J. L. Tinker, R., M. Vargas-Maga\ na, Y. Wang, B. A., D. H. Weinberg, M. White, W. M. Wood-Vasey, C., Z. Zhai, C. Zhao, G.-b. Zhao, Z. Zheng, G. Ben Zhu, H. Zou, "The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data", Astronomical Journal, 2016, 151:44, doi: 10.3847/0004-6256/151/2/44

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

W Schmidt, JF Engels, JC Niemeyer, AS Almgren, Hot and turbulent gas in clusters, Monthly Notices of the Royal Astronomical Society, Pages: 701--719 2016, doi: 10.1093/mnras/stw632

MP Katz, M Zingale, AC Calder, FD Swesty, AS Almgren, W Zhang, WHITE DWARF MERGERS on ADAPTIVE MESHES. I. METHODOLOGY and CODE VERIFICATION, Astrophysical Journal, 2016, doi: 10.3847/0004-637X/819/2/94

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

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

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

M Peter, A Kohler, RA Ohm, A Kuo, J Krützmann, E Morin, M Arend, KW Barry, M Binder, C Choi, A Clum, A Copeland, N Grisel, S Haridas, T Kipfer, K Labutti, E Lindquist, A Lipzen, R Maire, B Meier, S Mihaltcheva, V Molinier, C Murat, S Pöggeler, CA Quandt, C Sperisen, A Tritt, E Tisserant, PW Crous, B Henrissat, U Nehls, S Egli, JW Spatafora, IV Grigoriev, FM Martin, "Ectomycorrhizal ecology is imprinted in the genome of the dominant symbiotic fungus Cenococcum geophilum", Nature Communications, 2016, 7, doi: 10.1038/ncomms12662

LG Nagy, R Riley, A Tritt, C Adam, C Daum, D Floudas, H Sun, JS Yadav, J Pangilinan, KH Larsson, K Matsuura, K Barry, K Labutti, R Kuo, RA Ohm, SS Bhattacharya, T Shirouzu, Y Yoshinaga, FM Martin, IV Grigoriev, DS Hibbett, "Comparative genomics of early-diverging mushroom-forming fungi provides insights into the origins of lignocellulose decay capabilities", Molecular Biology and Evolution, 2016, 33:959--970, doi: 10.1093/molbev/msv337

R Atta-Fynn, EJ Bylaska, WA De Jong, "Strengthening of the Coordination Shell by Counter Ions in Aqueous Th<sup>4+</sup> Solutions", Journal of Physical Chemistry A, 2016, 120:10216--102, doi: 10.1021/acs.jpca.6b09878

RM Cox, PB Armentrout, WA De Jong, "Reactions of Th<sup>+</sup> + H<inf>2</inf>, D<inf>2</inf>, and HD Studied by Guided Ion Beam Tandem Mass Spectrometry and Quantum Chemical Calculations", Journal of Physical Chemistry B, 2016, 120:1601--1614, doi: 10.1021/acs.jpcb.5b08008

R Speck, D Ruprecht, M Minion, M Emmett, R Krause, "Inexact Spectral Deferred Corrections", DOMAIN DECOMPOSITION METHODS IN SCIENCE AND ENGINEERING XXII, ( 2016) Pages: 389--396 doi: 10.1007/978-3-319-18827-0_39

Andrey Ovsyannikov, Melissa Romanus, Brian Van Straalen, Gunther H. Weber, David Trebotich, "Scientific Workflows at DataWarp-Speed: Accelerated Data-Intensive Science using NERSC s Burst Buffer", Proceedings of the 1st Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, IEEE Press, 2016, 1--6, doi: 10.1109/PDSW-DISCS.2016.005

Hamish A. Carr, Gunther H. Weber, Christopher M. Sewell, James P. Ahrens, "Parallel Peak Pruning for Scalable SMP Contour Tree Computation", Proceedings of the 6th IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2016, 75--84, doi: 10.1109/LDAV.2016.7874312

Sugeerth Murugesan, Kristofer Bouchard, Edward Chang, Dougherty, Bernd Hamann, Gunther H. Weber, "Hierarchical Spatio-temporal Visual Analysis of Cluster Evolution in Data", Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, New York, NY, USA, ACM, 2016, 630--639, doi: 10.1145/2975167.2985688

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

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,

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,

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

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

GP Rodrigo, P-O Ostberg, E Elmroth, K Antypas, R Gerber, L Ramakrishnan, IEEE, "Towards Understanding Job Heterogeneity in HPC: A NERSC Case Study", 2016 16TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2016, 521--526, doi: 10.1109/CCGrid.2016.32

E Dede, B Sendir, P Kuzlu, J Weachock, M Govindaraju, L Ramakrishnan, "Processing Cassandra Datasets with Hadoop-Streaming Based Approaches", IEEE Transactions on Services Computing, 2016, 9:46--58, doi: 10.1109/tsc.2015.2444838

Niles Lohmann s JSON implementation for C++11, \urlhttps://github.com/nlohmann/json, 2016,

Robert Lee, Michael Assante, Tim Conway, Analysis of the Cyber on the Ukrainian Power Grid, \urlhttp://www.nerc.com/pa/CI/ESISAC/Documents/E-ISAC_SANS_Ukraine_DUC_18Mar2016.pdf, 2016,

Pierre Granjon, The CUSUM algorithm a small review, \urlhttp://chamilo2.grenet.fr/inp/courses/ENSE3A35EMIAAZ0/document/change_detection.pdf, 2016,

Mahdi Jamei, Anna Scaglione, Ciaran Roberts, Emma Stewart, Sean Peisert, Chuck McParland, Alex McEachern, Automated Anomaly Detection in Distribution Grids Using $\mu$PMU Measurements, arXiv preprint arXiv:1610.01107, 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

Robert Lee, Michael Assante, Tim Conway, Analysis of the Cyber Attack on the Ukrainian Power Grid, \urlhttp://www.nerc.com/pa/CI/ESISAC/Documents/E-ISAC_SANS_Ukraine_DUC_18Mar2016.pdf, 2016,

J Abley, J Schlyter, G Bailey, P Hoffman, DNSSEC Trust Anchor Publication for the Root Zone, \urlhttps://tools.ietf.org/pdf/rfc7958.pdf, 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,

Dmitriy Morozov, Tom Peterka, "Efficient Delaunay tessellation through K-D tree decomposition", SC 16, Piscataway, NJ, USA, IEEE Press, 2016, 62,

Dmitriy Morozov, Tom Peterka, "Block-parallel data analysis with DIY2", Large Data Analysis and Visualization (LDAV), 2016 IEE Symposium on, 2016, 29--36,

Gunnar Carlsson, Vin de Silva, Sara Verovsek, Dmitriy Morozov, Parametrized Homology via Zigzag Persistence, 2016,

T Perciano, F Tupin, R Hirata, RM Cesar, "A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data", International Journal of Remote Sensing, 2016, 37:3584--3610, doi: 10.1080/01431161.2016.1201227

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

Ran Wang, John A. Gamon, Craig A. Emmerton, Li Haitao, Enrica Nestola, Gilberto Z. Pastorello, Olaf Menzer, "Integrated Analysis of Productivity and Biodiversity in a Southern Alberta Prairie", Remote Sensing, 2016, 8:2014, doi: 10.3390/rs8030214

Craig A. Emmerton, Vincent L. St. Louis, Elyn R. Humphreys, John A. Gamon, Joel D. Barker, Gilberto Z. Pastorello, "Net ecosystem exchange of CO2 with rapidly changing high Arctic landscapes", Global Change Biology, 2016, 22:1185-1200, doi: 10.1111/gcb.13064

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

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,

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

2015

Yubo Wang, Bin Wang, Chi-Cheng Chu, Hemanshu Pota, Rajit Gadh, "Energy management for a commercial building microgrid with stationary and mobile battery storage", Energy and Buildings, December 30, 2015, 116:141 - 150, doi: 10.1016/j.enbuild.2015.12.055

This paper investigates the Demand Side Management (DSM) in a commercial building microgrid with solar generation, stationary Battery Energy Management System (BESS) and gridable (V2G) Electric Vehicle (EV) integration. Taking into consideration of a comprehensive pricing model, we first formulate a deterministic DSM as a mixed integer linear programming problem, assuming perfect knowledge of the uncertainties in the system. A two-stage stochastic DSM is further developed that addresses the stochastic nature in solar generation, loads, EV availabilities and EV energy demands. The proposed DSMs are validated with real solar generation, loads, BESS and EV data using sample average approximation. Detailed case studies show that the stochastic DSM outperforms its deterministic counterpart for cost saving for a wide range of prices, though at the expense of higher computational time. Computational results also demonstrate that moderate number of EVs helps to cut down the overall operation cost, which sheds light on the benefit of future large scale EV integration to smart buildings.

A. Roy, A. Klinefelter, F. B. Yahya, X. Chen, L. P. Gonzalez-Guerrero, C. J. Lukas, D. A. Kamakshi, J. Boley, K. Craig, M. Faisal, S. Oh, N. E. Roberts, Y. Shakhsheer, A. Shrivastava, D. P. Vasudevan, D. D. Wentzloff, B. H. Calhoun, "A 6.45 μW Self-Powered SoC With Integrated Energy-Harvesting Power Management and ULP Asymmetric Radios for Portable Biomedical Systems", IEEE Transactions on Biomedical Circuits and Systems, December 28, 2015, 9:862 - 874, doi: 10.1109/TBCAS.2015.2498643

This paper presents a batteryless system-on-chip (SoC) that operates off energy harvested from indoor solar cells and/or thermoelectric generators (TEGs) on the body. Fabricated in a commercial 0.13 μW process, this SoC sensing platform consists of an integrated energy harvesting and power management unit (EH-PMU) with maximum power point tracking, multiple sensing modalities, programmable core and a low power microcontroller with several hardware accelerators to enable energy-efficient digital signal processing, ultra-low-power (ULP) asymmetric radios for wireless transmission, and a 100 nW wake-up radio. The EH-PMU achieves a peak end-to-end efficiency of 75% delivering power to a 100 μA load. In an example motion detection application, the SoC reads data from an accelerometer through SPI, processes it, and sends it over the radio. The SPI and digital processing consume only 2.27 μW, while the integrated radio consumes 4.18 μW when transmitting at 187.5 kbps for a total of 6.45 μW.

M. Day, S. Tachibana, J. Bell, M. Lijewski, V. Beckner and R. Cheng, "A Combined Computational and Experimental Characterization of Lean Premixed Turbulent Low Swirl Laboratory Flames. II. Hydrogen Flames", Combustion and Flame, 2015,

Stephen M. Guzik, Xinfeng Gao, Landon D. Owen, Peter McCorquodale, Phillip Colella, "A freestream-preserving fourth-order finite-volume method in mapped coordinates with adaptive-mesh refinement", Computers & Fluids, December 21, 2015, 123:202–217, doi: 10.1016/j.compfluid.2015.10.001

T. Kim, D. Lee, J. Choi, A. Spurlock, A. Sim, A. Todd, K. Wu, "Extracting Baseline Electricity Usage Using Gradient Tree Boosting", International Conference on Big Data Intelligence and Computing (DataCom 2015), Best Paper Award, 2015,

D. B. Szyld, E. Vecharynski, and F. Xue, "Preconditioned eigensolvers for large-scale nonlinear Hermitian eigenproblems with variational characterizations. II. Interior eigenvalues.", SIAM Journal on Scientific Computing, Vol. 37, Issue 6, pp. A2969-A2997, 2015,

We consider the solution of large-scale nonlinear algebraic Hermitian eigenproblems of the form $T(\lambda)v=0$ that admit a variational characterization of eigenvalues. These problems arise in a variety of applications and are generalizations of linear Hermitian eigenproblems $Av\!=\!\lambda Bv$. In this paper, we propose a Preconditioned Locally Minimal Residual (PLMR) method for efficiently computing interior eigenvalues of problems of this type. We discuss the development of search subspaces, preconditioning, and eigenpair extraction procedure based on the refined Rayleigh-Ritz projection. Extension to the block methods is presented, and a moving-window style soft deflation is described. Numerical experiments demonstrate that PLMR methods provide a rapid and robust convergence towards interior eigenvalues. The approach is also shown to be efficient and reliable for computing a large number of extreme eigenvalues, dramatically outperforming standard preconditioned conjugate gradient methods.

Stone, D., H. Shiogama, P. Wolski, O. Angélil, S. Cholias, N. Christidis, A. Dittus, C. Folland, A. King, J. Kinter, H. Krishnan, S.-K. Min, M. Wehner, "The C20C+ Detection and Attribution Project", Fall Meeting of the American Geophysical Union, 2015,

W. Yoo, M. Koo, Y. Cao, A. Sim, P. Nugent, K. Wu, "PATHA: Performance Analysis Tool for HPC Applications", the 34th IEEE International Performance Computing and Communications Conference (IPCCC 2015), 2015,

Hari Krishnan, Suren Byna, Michael Wehner, Junmin Gu, Travis O'Brien, Burlen Loring, Daithi Stone, William Collins, Prabhat, Yunjie Liu, Jeffrey Johnson, and Christopher Paciorek, "Enabling Efficient Climate Science Workflows in High Performance Computing Environments", AGU Fall Meeting, 2015, December 13, 2015,

Abhinav Sarje, Particle Swarm Optimization, DUNE Wire-Cell Reconstruction Summit, December 2015,

S. Fries, A. Sim, "HPSS connections to ESGF", Earth System Grid Federation Conference, (ESGF 2015), 2015,

Samuel Williams, X-TUNE, X-Stack PI Meeting, December 2015,

Andrew A. Chien, Tung Thanh-Hoang, Dilip Vasudevan, Yuanwei Fang, Amirali Shambayati, "10x10: A Case Study in Highly-Programmable and Energy-Efficient Heterogeneous Federated Architecture", SIGARCH Comput. Archit. News, December 2015, 43:2 - 9, doi: 10.1145/2856113.2856115

Customized architecture is widely recognized as an important approach for improved performance and energy efficiency. To balance generality and customization benefit, researchers have proposed to federate heterogeneous micro-engines. Using the 10x10 architecture and an integrated image and vision benchmark as a case study, we explore the performance and energy benefits achievable. Results for current 32nm technology and DDR3 memory show 10x10 architecture benefits of 140x performance and 72x energy overall. Adding 3D-stacked DRAM increase benefits to 171x (performance) and 100x (energy). Finally, considering future 7nm transistor process, benefits as large as 597x (performance) and 137x energy are observed.

David H. Bailey, Jonathan M. Borwein, "Experimental computation as an ontological game changer: The impact of modern mathematical computation tools on the ontology of mathematics", Mathematics, Substance and Surmise: Views on the Meaning and Ontology of Mathematics, edited by Ernest Davis, Philip J. Davis, (Springer: December 1, 2015) Pages: 25-67

George Michelogiannakis, Xiaoye S. Li, David H. Bailey, John Shalf, "Extending Summation Precision for Network Reduction Operations", Springer International Journal of Parallel Programming, December 2015, 43:6:1218-1243, doi: 10.1007/s10766-014-0326-5

M. Jacquelin, L. Lin, N. Wichmann and C. Yang, "Enhancing the scalability tree-based asynchronous communication", accepted IPDPS16, November 25, 2015,

David H. Bailey and Marcos Lopez de Prado, "Stop-outs under serial correlation and the 'triple penance' rule", Journal of Risk, November 23, 2015, 18(2):61-93,

Soyoung Jeon, Prabhat, Suren Byna, Junmin Gu, William Collins, and Michael Wehner,, "Characterization of extreme precipitation within atmospheric river events over California", Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO), November 21, 2015, 1:45-57, doi: 10.5194/ascmo-1-45-2015

Abhinav Sarje, Xiaoye S Li, Slim Chourou, Dinesh Kumar, Singanallur Venkatakrishnan, Alexander Hexemer, "Inverse Modeling Nanostructures from X-Ray Scattering Data through Massive Parallelism", Supercomputing (SC'15), November 2015,

We consider the problem of reconstructing material nanostructures from grazing-incidence small-angle X-ray scattering (GISAXS) data obtained through experiments at synchrotron light-sources. This is an important tool for characterization of macromolecules and nano-particle systems applicable to applications such as design of energy-relevant nano-devices. Computational analysis of experimentally collected scattering data has been the primary bottleneck in this process.
We exploit the availability of massive parallelism in leadership-class supercomputers with multi-core and graphics processors to realize the compute-intensive reconstruction process. To develop a solution, we employ various optimization algorithms including gradient-based LMVM, derivative-free trust region-based POUNDerS, and particle swarm optimization, and apply these in a massively parallel fashion.
We compare their performance in terms of both quality of solution and computational speed. We demonstrate the effective utilization of up to 8,000 GPU nodes of the Titan supercomputer for inverse modeling of organic-photovoltaics (OPVs) in less than 15 minutes.

Samuel Williams, 4th Order HPGMG-FV Implementation, HPGMG BoF, Supercomputing, November 2015,

Vladimir Marjanovic, HPC Benchmarking, HPGMG BoF, Supercomputing, November 2015,

Simon Layton, Nikolai Sakharnyk, Kate Clark, GPU Implementation of HPGMG-FV, HPGMG BoF, Supercomputing, November 2015,

Hongzhang Shan, Kenneth McElvain, Calvin Johnson, Samuel Williams, W. Erich Ormand, "Parallel Implementation and Performance Optimization of the Configuration-Interaction Method", Supercomputing (SC), November 2015, doi: 10.1145/2807591.2807618

M. Koo, W. Yoo (advisor), A. Sim (advisor), "I/O Performance Analysis Framework on Measurement Data from Scientific Clusters", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’15), ACM Student Research Competition (SRC), 2015, 2015,

Md. Mostofa Ali Patwary, Suren Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Mr Prabhat, and Pradeep Dubey, "BD-CATS: Big Data Clustering at Trillion Particle Scale", Supercomputing 2015 (SC15), Supercomputing 2015 (SC15), November 17, 2015,

Babak Behzad, Suren Byna, Prabhat and Marc Snir, "Pattern-driven Parallel I/O Tuning", 10th Parallel Data Storage Workshop (PDSW) 2015, held in conjunction with SC15, 10th Parallel Data Storage Workshop (PDSW) 2015, to be held in conjunction with SC15, November 16, 2015,

Bin Dong, Suren Byna, and Kesheng Wu, "Heavy-tailed Distribution of Parallel I/O System Response Time", 10th Parallel Data Storage Workshop (PDSW) 2015, to be held in conjunction with SC15, 2015,

Shane Snyder, Philip Carns, Robert Latham, Misbah Mubarak, Chris Carothers, Babak Behzad, Huong Vu Thanh Luu, Suren Byna, and Prabhat, "Techniques for Modeling Large-scale HPC I/O Workloads", the 6th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS15), in conjunction with SC15, the 6th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performa, November 15, 2015,

M. A. Patwary, S. Byna, N. Satish, N. Sundaram, Z. Lukić, V. Roytershteyn, M. Anderson, Y. Yao, Prabhat, P. Dubey, "BD–CATS: Big Data Clustering at Trillion Particles Scale", Supercomputing, 2015, 6,

E. Vecharynski, J. Brabec, M. Shao, N. Govind, C. Yang, "Efficient Block Preconditioned Eigensolvers for Linear Response Time-dependent Density Functional Theory", submitted to JCC, 2015,

We present two efficient iterative algorithms for solving the linear response eigenvalue problem arising fromthe time dependent density functional theory. Although the matrix to be diagonalized is nonsymmetric, it has a special structure that can be exploited to save both memory and floating point operations. In particular, the nonsymmetric eigenvalue problem can be transformed into a product eigenvalue problem that is self-adjoint with respect to a K-inner product. This product eigenvalue problem can be solved efficiently by a modified Davidson algorithm and a modified locally optimal block preconditioned conjugate gradient (LOBPCG) algorithm that make use of the K-inner product. The solution of the product eigenvalue problem yields one component of the eigenvector associated with the original eigenvalue problem. However, the other component of the eigenvector can be easily recovered in a postprocessing procedure. Therefore, the algorithms we present here are more efficient than existing algorithms that try to approximate both components of the eigenvectors simultaneously.The efficiency of the new algorithms is demonstrated by numerical examples.

David H. Bailey, Jonathan M. Borwein, "Crandall's computation of the incomplete gamma function and the Hurwitz zeta function with applications to Dirichlet L-series", Applied Mathematics and Computation, November 1, 2015, 268C:462-477,

David H. Bailey, Jonathan M. Borwein, Amir Salehipour, Marcos Lopez de Prado, Qiji Zhu, "Online tools for demonstration of backtest overfitting", November 1, 2015,

Andrew Myers, Christopher McKee, Pak Shing Li, "The CH+ abundance in turbulent, diffuse molecular clouds", Monthly Notices of the Royal Astronomical Society, Volume 453, Issue 3, p.2747-2758, November 1, 2015,

Jinoh Kim, Bin Dong, Suren Byna, and Kesheng Wu, "Security for the Scientific Data Service Framework", 2nd International Workshop on Privacy and Security of Big Data (PSBD 2015), in conjunction with IEEE BigData 2015, 2015,

J. Kim, A. Sim, "Peeking Network States with Clustered Patterns", 2015, LBNL 1003744,

E. Vecharynski, A. Knyazev, "Preconditioned Locally Harmonic Residual Method for computing interior eigenpairs of certain classes of Hermitian matrices", SIAM Journal on Scientific Computing, Vol. 37, Issue 5, pp. S3–S29, 2015,

We propose a Preconditioned Locally Harmonic Residual (PLHR) method for computing several interior eigenpairs of a generalized Hermitian eigenvalue problem, without traditional spectral transformations, matrix factorizations, or inversions. PLHR is based on a short-term recurrence, easily extended to a block form, computing eigenpairs simultaneously. PLHR can take advantage of Hermitian positive definite preconditioning, e.g., based on an approximate inverse of an absolute value of a shifted matrix, introduced in [SISC, 35 (2013), pp. A696–A718]. Our numerical experiments demonstrate that PLHR is efficient and robust for certain classes of large-scale interior eigenvalue problems, involving Laplacian and Hamiltonian operators, especially if memory requirements are tight.

Bin Dong, Suren Byna, and Kesheng Wu, "Spatially Clustered Join on Heterogeneous Scientific Data Sets", 2015 IEEE International Conference on Big Data (IEEE BigData 2015), IEEE, 2015,

Jason Adams, Monica Lieng, Brooks Kuhn, Edward Guo, Edik Simonian, Sean Peisert, JP Delplanque, Nick Anderson, "Automated Mechanical Ventilator Waveform Analysis of Patient-Ventilator Asynchrony", CHEST Journal, Pages: 175A October 2015, doi: 10.1378/chest.2281731

PURPOSE: Mechanical ventilation is a life-saving intervention but is associated with adverse effects including ventilator-induced lung injury (VILI). Patient-ventilator asynchrony (PVA) is thought to contribute to VILI, but the study of PVA has been hampered by limited access to the high frequency, large volume data streams produced by modern ventilators and a lack of robust analytics. To address these limitations, we developed an automated pipeline for breath-by-breath analysis of ventilator waveform data.

METHODS: Simulated pressure and flow time series data representing normal breaths and common forms of PVA were generated on PB840 ventilators, collected unobtrusively using small, customized wireless peripheral devices, and transmitted to a networked server for storage and analysis. Two critical care physicians reviewed all waveforms to generate gold standards. Rule-based algorithms were developed to quantify inspiratory and expiratory tidal volumes (TV) and identify PVA subtypes including double trigger and delayed termination asynchrony. Data were split randomly into derivation and validation sets. Algorithm performance was compared to ventilator reported values and clinician annotation.

RESULTS: The mean difference between algorithm-determined and ventilator-reported TVs was 3.1% (99% CI ± 1.36%). Algorithm agreement with clinician annotation was excellent for double trigger PVA and moderate for delayed termination PVA, with Kappa statistics of 0.85 and 0.58, respectively. In the validation data set (n = 492 breaths), double trigger asynchrony was detected with an overall accuracy of 94.1%, sensitivity of 100%, and specificity of 92.8%.

CONCLUSIONS: A pipeline combining wireless ventilator data acquisition and rule-based analytic algorithms informed by the principles of bedside ventilator waveform analysis allows for automated, quantitative breath-by-breath analysis of patient-ventilator interactions.

CLINICAL IMPLICATIONS: We have recently deployed this system in the medical intensive care unit of the UC Davis Medical Center, which will enable further development of mechanical ventilation analytics. We have begun to explore the use of supervised machine learning and dynamic time series modeling to improve the classification of other common types of PVA and of clinical phenotypes associated with respiratory failure. This system will help to better define the epidemiology and clinical impact of PVA and other forms of off-target mechanical ventilation, and may lead to improved decision support and patient outcomes.

A. Azad, G. Ballard, A. Buluc, J. Demmel, J. Gilbert, L. Grigori, O. Schwartz, S. Toledo, S. Williams, Parallel Sparse Matrix-Matrix Multiplication and Its Use in Triangle Counting and Enumeration, SIAM ALA, October 26, 2015,

M. van Setten; F. Carouso; S. Sharifzadeh; X. Ren; M. Scheffler; F. Liu; J. Lischner; L. Lin; J. Deslippe; S. Louie; C. Yang; F. Weigend; J. Neaton; F. Evers; P. Rinke, "GW 100: Benchmarking G0W0 for molecular systems", Journal of Chemical Theory and Computation, October 22, 2015,

Daniel Chung, Matt Bishop, and Sean Peisert, "Distributed Helios - Mitigating Denial of Service Attacks in Online Voting", University of California, Davis, Department of Computer Science Technical Report, October 16, 2015,

Tobias Titze, Alexander Lauerer, Lars Heinke, Christian Chmelik, Nils E. R. Zimmermann, Frerich J. Keil, Douglas M. Ruthven, Jörg Kärger, "Transport in Nanoporous Materials Including MOFs: The Applicability of Fick’s Laws", Angew. Chem. Int. Ed., 2015, doi: 10.1002/anie.201506954

Diffusion in nanoporous host–guest systems is often considered to be too complicated to comply with such “simple” relationships as Fick’s first and second law of diffusion. However, it is shown herein that the microscopic techniques of diffusion measurement, notably the pulsed field gradient (PFG) technique of NMR spectroscopy and microimaging by interference microscopy (IFM) and IR microscopy (IRM), provide direct experimental evidence of the applicability of Fick’s laws to such systems. This remains true in many situations, even when the detailed mechanism is complex. The limitations of the diffusion model are also discussed with reference to the extensive literature on this subject.

 

Burke, Daniel R., "Neuromorphic Hardware for HPC", Conference, October 7, 2015,

Presented at Simons Institute Theory of Neural Computation Workshop.

Jiri Brabec, Lin Lin, Meiyue Shao, Niranjan Govind, Chao Yang, Yousef Saad, Esmond G. Ng, "Fast Algorithms for Estimating the Absorption Spectrum within Linear Response Time-dependent Density Functional Theory", Journal of Chemical Theory and Computation, 2015, 11:5197–5208, doi: 10.1021/acs.jctc.5b00887

Robert Granat, Bo Kågström, Daniel Kressner, Meiyue Shao, "Algorithm 953: Parallel library software for the multishift QR algorithm with aggressive early deflation", ACM Transactions on Mathematical Software, 2015, 41:29:1--29:2, doi: 10.1145/2699471

Tan Nguyen, Tolerating Communication Overheads with Tiling Abstractions, 2015 Intel Xeon Phi User's Group (IXPUG), October 1, 2015,

W. Kou, A.P.S Bhalla, B. E. Griffith, J. E. Pandolfino, P. J. Kahrilas, N. A. Patankar, "A fully resolved active musculo-mechanical model for esophageal transport", Journal of Computational Physics, 2015, 298:446–465, doi: 10.1016/j.jcp.2015.05.049

Abhinav Sarje, High-Performance X-Ray Scattering Data Analysis, Intel Xeon Phi Users Group (IXPUG) Annual Meeting 2015, September 30, 2015,

Adrian Chavez, William M.S. Stout, and Sean Peisert, "Techniques for the Dynamic Randomization of Network Attributes", Proceedings of the 49th Annual International Carnahan Conference on Security Technology, Taipei, Taiwan, Republic of China, IEEE Press, September 2015, doi: 10.1109/CCST.2015.7389661

Hongzhang Shan, Samuel Williams, Yili Zheng, Amir Kamil, Katherine Yelick, "Implementing High-Performance Geometric Multigrid Solver With Naturally Grained Messages", 9th International Conference on Partitioned Global Address Space Programming Models (PGAS), September 2015,

Nils E. R. Zimmermann, Bart Vorselaars, David Quigley, Baron Peters, "Nucleation of NaCl from Aqueous Solution: Critical Sizes, Ion-Attachment Kinetics, and Rates", J. Am. Chem. Soc., 2015, doi: 10.1021/jacs.5b08098

Nucleation and crystal growth are important in material synthesis, climate modeling, biomineralization, and pharmaceutical formulation. Despite tremendous efforts, the mechanisms and kinetics of nucleation remain elusive to both theory and experiment. Here we investigate sodium chloride (NaCl) nucleation from supersaturated brines using seeded atomistic simulations, polymorph-specific order parameters, and elements of classical nucleation theory. We find that NaCl nucleates via the common rock salt structure. Ion desolvation—not diffusion—is identified as the limiting resistance to attachment. Two different analyses give approximately consistent attachment kinetics: diffusion along the nucleus size coordinate and reaction-diffusion analysis of approach-to-coexistence simulation data from Aragones et al. (J. Chem. Phys. 2012, 136, 244508). Our simulations were performed at realistic supersaturations to enable the first direct comparison to experimental nucleation rates for this system. The computed and measured rates converge to a common upper limit at extremely high supersaturation. However, our rate predictions are between 15 and 30 orders of magnitude too fast. We comment on possible origins of the large discrepancy.

Watch a movie illustrating our seeded simulation strategy here.

Yu-Hang Tang, Shuhei Kudo, Xin Bian, Zhen Li, George Em Karniadakis, "Multiscale Universal Interface: A concurrent framework for coupling heterogeneous solvers", Journal of Computational Physics, September 15, 2015, 297:13-31, doi: 10.1016/j.jcp.2015.05.004

Veronika Strnadová-Neeley, Aydın Buluç, Jarrod Chapman, John R. Gilbert, Joseph Gonzalez, Leonid Oliker, "Efficient Data Reduction for Large-Scale Genetic Mapping", ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), September 10, 2015,

Ariful Azad, Aydin Buluc, "Distributed-Memory Algorithms for Maximal Cardinality Matching using Matrix Algebra", IEEE Cluster, Chicago, IL, September 2015,

Tan Nguyen and Scott Baden, "LU Factorization: Towards Hiding Communication Overheads With A Lookahead-free Algorithm", IEEE Cluster 2015, Chicago, IL, September 8, 2015,

Alex Druinsky, Pieter Ghysels, Xiaoye S. Li, Osni Marques, Samuel Williams, Andrew Barker, Delyan Kalchev, Panayot Vassilevski, "Comparative Performance Analysis of Coarse Solvers for Algebraic Multigrid on Multicore and Manycore Architectures", International Conference on Parallel Processing and Applied Mathematics (PPAM), September 6, 2015, doi: 10.1007/978-3-319-32149-3_12

Sisi Duan, Jingtao Sun, Sean Peisert, "Towards a Self-Adaptive Middleware for Building Reliable Publish/Subscribe Systems", Proceedings of the 8th International Conference on Internet and Distributed Computing Systems (IDCS), Berkshire, United Kingdom, Springer, September 2015, 157-168, doi: 10.1007/978-3-319-23237-9_14

Prabhat, Suren Byna, Venkat Vishwanath, Eli Dart, Michael Wehner, and William Collins,, "TECA: Petscale Pattern Recognition for Climate Science", 16th International Conference on Computer Analysis of Images and Patterns (CAIP) 2015, 2015,

Aydin Buluç, Scott Beamer, Kamesh Madduri, Krste Asanović, David Patterson., "Distributed-memory breadth-first search on massive graphs.", In D. Bader (editor), Parallel Graph Algorithms. CRC Press/Taylor-Francis, ( 2015)

Babak Behzad, Suren Byna, Stefan Wild, Prabhat and Marc Snir, "Dynamic Model-driven Parallel I/O Performance Tuning", IEEE Cluster 2015, 2015,

Sean Peisert, et al., "ASCR Cybersecurity for Scientific Computing Integrity - Research Pathways and Ideas", U.S. Department of Energy Office of Science report, September 2015, LBNL 191105, doi: 10.2172/1236181

Zhangpeng Guo, Nicolas Zweibaum, Meiyue Shao, Lakshana R. Huddar, Per F. Peterson, and Suizheng Qiu, "Development of the FHR advanced natural circulation analysis (FANCY) code", 16th International Topical Meeting On Nuclear Reactor Thermal Hydraulics (NURETH-16), American Nuclear Society, 2015, 1629–1644,

S. L. Cornford, D. F. Martin, A. J. Payne, E. G. Ng, A. M. Le Brocq, R. M. Gladstone, T. L. Edwards, S. R. Shannon, C. Agosta, M. R. van den Broeke, H. H. Hellmer, G. Krinner, S. R. M. Ligtenberg, R. Timmermann, D. G. Vaughan, "Century-scale simulations of the response of the West Antarctic Ice Sheet to a warming climate", The Cryosphere, August 18, 2015, doi: 10.5194/tc-9-1579-2015, 2015

Nathan Hanford, Vishal Ahuja, Mehmet Balman, Matthew. Farrens, Dipak Ghosal, Eric Pouyoul, Brian Tierney, "Improving Network Performance on Multicore Systems: Impact of Core Affinities on High Throughput Flows", The International Journal of eScience, Elsevier, 2015, doi: doi:10.1016/j.future.2015.09.012

Network throughput is scaling-up to higher data rates while end-system processors are scaling-out to multiple cores. In order to optimize high speed data transfer into multicore end-systems, techniques such as network adaptor offloads and performance tuning have received a great deal of attention. Furthermore, several methods of multi-threading the network receive process have been proposed. However, thus far attention has been focused on how to set the tuning parameters and which offloads to select for higher performance, and little has been done to understand why the various parameter settings do (or do not) work. In this paper, we build on previous research to track down the sources of the end-system bottleneck for high-speed TCP flows. We define protocol processing efficiency to be the amount of system resources (such as CPU and cache) used per unit of achieved throughput (in Gbps). The amount of various system resources consumed are measured using low-level system event counters. In a multicore end-system, affinitization, or core binding, is the decision regarding how the various tasks of network receive process including interrupt, network, and application processing are assigned to the different processor cores. We conclude that affinitization has a significant impact on protocol processing efficiency, and that the performance bottleneck of the network receive process changes significantly with different affinitization.

Brian Tierney, Mehmet Balman, Cees de Laat, "Special section on high-performance networking for distributed data-intensive science", Future Generation Computer Systems, The International Journal of eScience, Elsevier, 2015, doi: doi:10.1016/j.future.2015.10.006

David H. Bailey, Jonathan M. Borwein, "Experimental applied mathematics", Princeton Companion for Applied mathematics, edited by N. J. Higham, M. R. Dennis, P. Glendinning, P. A. Martin, F. Santosa and J. Tanner, (Princeton University Press: August 1, 2015) Pages: 925-933

Mahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, Arif Khan, "Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures", IEEE Computer, August 2015,

cover copy parco

Aydin Buluc, John Gilbert, Leonid Oliker, "Special Issue: Graph Analysis for Scientific Discovery", Parallel Computing Journal Special Issue Editors, August 1, 2015,

Anshu Dubey, Daniel T. Graves, "A Design Proposal for a Next Generation Scientific Software Framework", EuroPar 2015, July 31, 2015,

M. Dorf, M. Dorr, J. Hittinger, T. Rognlien, P. Colella, P. Schwartz,R. Cohen, W. Lee, "Modeling Edge Plasma with the Continuum Kinetic Code COGENT", 2015,

Xiaocheng (Chris) Zou, Suren Byna, Hans Johansen, Daniel Martin, Nagiza F. Samatova, Arie Shoshani, John Wu, "Six-fold Speedup of Ice Calving Detection Achieved by AMR-aware Parallel Connected Component Labeling", SciDAC PI Meeting, July 2015, 2015,

Anastasiia Butko, Abdoulaye Gamatié, Gilles Sassatelli, Lionel Torres, Michel Robert, "Design exploration for next generation high-performance manycore on-chip systems: Application to big. LITTLE architectures", VLSI (ISVLSI), 2015 IEEE Computer Society Annual Symposium on, Montpellier, France, IEEE, July 8, 2015, doi: 10.1109/ISVLSI.2015.28

Next generation embedded systems will massively adopt on-chip many core architectures to provide both performance and energy-efficiency. This trend will definitely establish the convergence of embedded computing and high-performance computing. In such a context, one major design challenge will concern the choice of adequate architecture parameters given system requirements. Moreover, it will affect the way applications can suitably exploit architecture resources for an efficient execution. This paper deals with many core on-chip system design exploration by using via simulation. It presents an approach enabling one to study central design parameters in an accurate and cost-effective manner. This approach is illustrated through the design exploration for ARM big. LITTLE heterogeneous multicore technology in the gem5 framework.

Štěpán Timr, Jiří Brabec, Alexey Bondar, Tomáš Ryba, Miloš Železný, Josef Lazar, Pavel Jungwirth, "Non-Linear Optical Properties of Fluorescent Dyes Allow for Accurate Determination of Their Molecular Orientations in Phospholipid Membranes", The Journal of Physical Chemistry, July 6, 2015,

Several methods based on single- and two-photon fluorescence detected linear dichroism have recently been used to determine the orientational distributions of fluorescent dyes in lipid membranes. However, these determinations relied on simplified descriptions of non-linear anisotropic properties of the dye molecules, using a transition dipole moment-like vector instead of an absorptivity tensor. To investigate the validity of the vector approximation, we have now carried out a combination of computer simulations and polarization microscopy experiments on two representative fluorescent dyes (DiI and F2N12S) embedded in aqueous phosphatidylcholine bilayers. Our results indicate that a simplified vector-like treatment of the two-photon transition tensor is applicable for molecular geometries sampled in the membrane at ambient conditions. Furthermore, our results allow evaluation of several distinct polarization microscopy techniques. In combination, our results point to a robust and accurate experimental and computational treatment of orientational distributions of DiI, F2N12S and related dyes (including Cy3, Cy5, and others), with implications to monitoring physiologically relevant processes in cellular membranes in a novel way.

Bin Wang, Boyang Hu, Charlie Qiu, Peter Chu, Rajit Gadh, "EV charging algorithm implementation with user price preference", 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, IEEE, June 25, 2015, 1 - 5, doi: 10.1109/ISGT.2015.7131895

In this paper, we propose and implement a smart Electric Vehicle (EV) charging algorithm to control the EV charging infrastructures according to users' price preferences. Charging boxes, equipped with bi-directional communication devices and smart meters, can be remotely monitored by the proposed charging algorithm applied to EV control center and mobile app. On the server side, ARIMA model is utilized to fit historical charging load data and perform day-ahead prediction. A pricing strategy with energy bidding policy is proposed and implemented to generate a charging price list to be broadcasted to EV users through mobile app. On the user side, EV drivers can submit their price preferences and daily travel schedules to negotiate with Control Center to consume the expected energy and minimize charging cost simultaneously. The proposed algorithm is tested and validated through the experimental implementations in UCLA parking lots.

Abhinav Sarje, Computing Nanostructures at Scale, OLCF User Meeting, June 2015,

The inverse modeling, or structural fitting, problem of recovering nanostructures from X-ray scattering data obtained through experiments at light-source synchrotrons is an ideal example of a Big Data and Big Compute application. X-ray scattering based extraction of structural information from material samples is an important tool for nanostructure prediction through characterization of macromolecules and nanoparticle systems, applicable to numerous applications such as design of energy-relevant nano-devices. At Berkeley Lab, we are developing high-performance solutions for analysis of such raw data. In our work we exploit the use of massive parallelism available in clusters of GPUs, such as the Titan supercomputer, to gain efficiency in the reconstruction process. We explore the application of various numerical optimization algorithms ranging from simple gradient-based quasi-Newton methods, derivativefree trust-region-based methods, to the stochastic algorithms of Particle Swarm Optimization in a massively parallel fashion. https://vimeo.com/133558018

Abhinav Sarje, Xiaoye Li, Dinesh Kumar, Singanallur Venkatakrishnan, Alexander Hexemer, "Reconstructing Nanostructures from X-Ray Scattering Data", OLCF User Meeting, June 2015,

M. Ulbrich, Z. Wen, C. Yang, D. Klockner, Z. Lu, "A proximal gradient method for ensemble density functional theory", SIAM J. Sci. Comp., June 20, 2015, 37:A1975--A20, doi: 10.1137/14098973X

R. Van Beeumen, K. Meerbergen, W. Michiels, "Compact rational Krylov methods for nonlinear eigenvalue problems", SIAM Journal on Matrix Analysis and Applications, 2015, 36:820-838, doi: 10.1137/140976698

Sean Peisert, Security Research Using Cyber-Physical Systems, IT Security Symposium, June 16, 2015,

H. Luu, M. Winslett, W. Gropp, R. Ross, P. Carns, K. Harms, Prabhat, S. Byna, Y. Yao,, "A Multi-platform Study of I/O Behavior on Petascale Supercomputers", The 24th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2015, 2015,

P. McCorquodale, P.A. Ullrich, H. Johansen, P. Colella, "An adaptive multiblock high-order finite-volume method for solving the shallow-water equations on the sphere", Comm. App. Math. and Comp. Sci., 2015, 10:121-162, doi: 10.2140/camcos.2015.10.121

Abhinav Sarje, Parallel Performance Optimizations on Unstructured Mesh-Based Simulations, International Conference on Computational Science, June 2015,

Abhinav Sarje, Sukhyun Song, Douglas Jacobsen, Kevin Huck, Jeffrey Hollingsworth, Allen Malony, Samuel Williams, and Leonid Oliker, "Parallel Performance Optimizations on Unstructured Mesh-Based Simulations", Procedia Computer Science, 1877-0509, June 2015, 51:2016-2025, doi: 10.1016/j.procs.2015.05.466

This paper addresses two key parallelization challenges the unstructured mesh-based ocean modeling code, MPAS-Ocean, which uses a mesh based on Voronoi tessellations: (1) load imbalance across processes, and (2) unstructured data access patterns, that inhibit intra- and inter-node performance. Our work analyzes the load imbalance due to naive partitioning of the mesh, and develops methods to generate mesh partitioning with better load balance and reduced communication. Furthermore, we present methods that minimize both inter- and intra- node data movement and maximize data reuse. Our techniques include predictive ordering of data elements for higher cache efficiency, as well as communication reduction approaches. We present detailed performance data when running on thousands of cores using the Cray XC30 supercomputer and show that our optimization strategies can exceed the original performance by over 2×. Additionally, many of these solutions can be broadly applied to a wide variety of unstructured grid-based computations.

Mathias Jacquelin, Lin Lin, Chao Yang, "A Distributed Memory Parallel Algorithm for Selected Inversion : the Symmetric Case", To appear in ACM Transactions on Mathematical Software (TOMS), May 28, 2015,

Protonu Basu, Samuel Williams, Brian Van Straalen, Mary Hall, Leonid Oliker, Phillip Colella, "Compiler-Directed Transformation for Higher-Order Stencils", International Parallel and Distributed Processing Symposium (IPDPS), May 2015,

Scott French, Yili Zheng, Barbara Romanowicz, Katherine Yelick, "Parallel Hessian Assembly for Seismic Waveform Inversion Using Global Updates", International Parallel and Distributed Processing Symposium (IPDPS), May 2015,

Evangelos Georganas, Aydın Buluç, Jarrod Chapman, Leonid Oliker, Daniel Rokhsar, Katherine Yelick, "merAligner: A Fully Parallel Sequence Aligner", IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2015,

Ariful Azad, Aydin Buluc, John Gilbert, "Parallel Triangle Counting and Enumeration using Matrix Algebra", Workshop on Graph Algorithms Building Blocks (GABB), in conjunction with IPDPS, IEEE, May 2015,

Ariful Azad, Aydin Buluç, Alex Pothen, "A Parallel Tree Grafting Algorithm for Maximum Cardinality Matching in Bipartite Graphs", International Parallel and Distributed Processing Symposium (IPDPS), May 2015,

C. Yang, Absorption Spectrum Estimation via Linear Response TDDFT, Applied Math Seminar, Stanford University, May 13, 2015,

David H. Bailey, Jonathan M. Borwein, "High-precision arithmetic in mathematical physics", Mathematics, May 12, 2015, 3:337-367,

David H. Bailey, Jonathan M. Borwein, Amir Salehipour, Marcos Lopez de Prado, Qiji Jim Zhu, "Backtest overfitting demonstration tool: An online interface", May 12, 2015,

K. Hu, J. Choi, A. Sim, J. Jiang, "Best Predictive Generalized Linear Mixed Model with Predictive Lasso for High-Speed Network Data Analysis", International Journal of Statistics and Probability, 2015,

Xiaocheng Zou, Kesheng Wu, David A. Boyuka, Daniel F. Martin, Suren Byna, Houjun, Kushal Bansal, Terry J. Ligocki, Hans Johansen, and Nagiza F. Samatova, "Parallel In Situ Detection of Connected Components Adaptive Mesh Refinement Data", Proceedings of the Cluster, Cloud and Grid Computing (CCGrid) 2015, 2015,

P. McCorquodale, M.R. Dorr, J.A.F. Hittinger, P. Colella, "High-order finite-volume methods for hyperbolic conservation laws on mapped multiblock grids", J. Comput. Phys., May 1, 2015, 288:181-195, doi: 10.1016/j.jcp.2015.01.006

Wehner, M., Prabhat, K. A. Reed, D. Stone, W. D. Collins, and J. Bacmeister, "Resolution dependence of future tropical cyclone projections of CAM5.1 in the US CLIVAR Hurricane Working Group idealized configurations", Journal of Climate, 2015, 28:3905-3925, doi: 10.1175/JCLI-D-14-00311.1

Suren Byna, Robert Sisneros, Kalyana Chadalavada, Quincey Koziol, "Tuning Parallel I/O on Blue Waters for Writing 10 Trillion Particles", Cray User Group (CUG) meeting 2015, 2015,

Suren Byna, Brian Austin, "Evaluation of Parallel I/O Performance and Energy Consumption with Frequency Scaling on Cray XC30", Cray User Group (CUG) meeting 2015, 2015,

C. Yang, Fast Numerical Algorithms for Large-scale Electronic Structure Calculations, DOE BES Computational and Theoretical Chemistry PI Meeting, April 28, 2015,

R.Bale, I. D. Neveln, A.P.S. Bhalla, M.A. MacIver, and N.A. Patankar, "Convergent evolution of mechanically optimal locomotion in aquatic invertebrates and vertebrates", PLoS Biology, 2015, 13(4):e1:22 pages, doi: 10.1371/journal.pbio.1002123

C. Yang, Fast Numerical Methods for Electronic Structure Calculations, Math Colloquium, Michigan Tech University, April 24, 2015,

Abhinav Sarje, Performance Profiling of Parallel Codes, April 2015,

Miroslav Urbanek, "Quantum physics simulations in Common Lisp", Proceedings of the 8th European Lisp Symposium, London, United Kingdom, 2015, 71–78,

Cindy Rubio-Gonz ́alez, Cuong Nguyen, James Demmel, William Kahan, Koushik Sen, Wim Lavrijsen, Costin Iancu, "Floating Point Precision Tuning Using Blame Analysis", LBNL TR, April 17, 2015,

Xuehai Qian, Koushik Sen, Paul Hargrove, Costin Iancu, "OPR: Partial Deterministic Record and Replay for One-Sided Communication", LBNL TR, April 17, 2015,

Nicholas Chaimov, Khaled Ibrahim, Samuel Williams, Costin Iancu, "Exploiting Communication Concurrency on High Performance Computing Systems", IJHPCA, April 17, 2015,

Daniel Martin, Xylar Asay-Davis, Stephen Cornford, Stephen Price, Esmond Ng, William Collins, A Tale of Two Forcings: Present-Day Coupled Antarctic Ice-sheet/Southern Ocean dynamics using the POPSICLES model., European Geosciences Union General Assembly 2015, April 16, 2015,

D. Devendran, D. T. Graves, H. Johansen, "A higher-order finite-volume discretization method for Poisson's equation in cut cell geometries", submitted to SIAM Journal on Scientific Computing (preprint on arxiv), 2015,

C. Yang, Fast Numerical Methods for Electronic Structure Calculations, Applied math & PDE seminar, UC Davis, April 14, 2015,

S. Shannigrahi, A. J. Barczyk, C. Papadopoulos, A. Sim, I. Monga, H. Newman, K. Wu, E. Yeh, "Named Data Networking in Climate Research and HEP Applications", 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015), 2015,

Sean Peisert, Models of Secure and Private Information Sharing, University of California, San Diego School of Medicine, Division of Biomedical Informatics Seminar Series, April 10, 2015,

James Demmel, Costin Iancu, Kouhsik Sen, "Corvette Progress Report 2015", April 1, 2015,

Fang Liu, Lin Lin , Derek Vigil-Fowlerd , Johannes Lischnerd, Alexander F. Kemper, , Sahar Sharifzadehe, Felipe H. da Jornadad, Jack Deslippef, Chao Yangc, Jeffrey B. Neaton, Steven G. Louied,, "Numerical integration for ab initio many-electron self energy calculations within the GW approximation", Journal of Computational Physics, April 1, 2015,

R. Van Beeumen, W. Michiels, K. Meerbergen, "Linearization of Lagrange and Hermite interpolating matrix polynomials", IMA Journal of Numerical Analysis, 2015, 35:909-930, doi: 10.1093/imanum/dru019

Peter Schwartz, Julie Percelay, Terry J. Ligocki, Hans Johansen, Daniel T. Graves, Dharshi Devendran, Phillip Colella, Eli Ateljevich, "High-accuracy embedded boundary grid generation using the divergence theorem", Communications in Applied Mathematics and Computational Science 10-1 (2015), 83--96. DOI 10.2140/camcos.2015.10.83, March 31, 2015,

Elaheh Pourabbas, Arie Shoshani, "The Composite Data Model: A Unified Approach for Combining and Querying Multiple Data Models", IEEE Trans. Knowl. Data Eng, 2015, 27(5):1424-1437,

Subrata Banik , Lalitha Ravichandran , Jiri Brabec , Ivan Hubac , Karol Kowalski , Jiri Pittner, "Iterative universal state selective correction for the Brillouin-Wigner multireference coupled-cluster theory", J. Chem. Phys., March 21, 2015, 142:114106,

Abhinav Sarje, Recovering Structural Information about Nanoparticle Systems, Nvidia GPU Technology Conference, March 19, 2015,

The inverse modeling problem of recovering nanostructures from X-ray scattering data obtained through experiments at light-source synchrotrons is an ideal example of a Big Data and Big Compute application. This session will give an introduction and overview to this problem and its solutions as being developed at the Berkeley Lab. X-ray scattering based extraction of structural information from material samples is an important tool applicable to numerous applications such as design of energy-relevant nano-devices. We exploit the use of parallelism available in clusters of GPUs to gain efficiency in the reconstruction process. To develop a solution, we apply Particle Swarm Optimization (PSO) in a massively parallel fashion, and develop high-performance codes and analyze the performance.

Abhinav Sarje, Xiaoye S. Li, Dinesh Kumar, Alexander Hexemer, "Recovering Nanostructures from X-Ray Scattering Data", Nvidia GPU Technology Conference (GTC), March 2015,

We consider the inverse modeling problem of recovering nanostructures from X-ray scattering data obtained through experiments at synchrotrons. This has been a primary bottleneck problem in such data analysis. X-ray scattering based extraction of structural information from material samples is an important tool for the characterization of macromolecules and nano-particle systems applicable to numerous applications such as design of energy-relevant nano-devices. We exploit massive parallelism available in clusters of graphics processors to gain efficiency in the reconstruction process. To solve this numerical optimization problem, here we show the application of the stochastic algorithms of Particle Swarm Optimization (PSO) in a massively parallel fashion. We develop high-performance codes for various flavors of the PSO class of algorithms and analyze their performance with respect to the application at hand. We also briefly show the use of two other optimization methods as solutions.

Daniel Martin, Peter O. Schwartz, Esmond G. Ng, Improving Grounding Line Discretization using an Embedded-Boundary Approach in BISICLES, 2015 SIAM Conference on Computational Science and Engineering, March 14, 2015,

R.M. Cox, P.B. Armentrout, W.A. de Jong, "Activation of CH4 by Th+ as Studied by Guided Ion Beam Mass Spectrometry and Quantum Chemistry", Inorganic Chemistry, March 13, 2015, 54:3584, doi: 10.1021/acs.inorgchem.5b00137

J. Yang, O. Rübel, M. Mahoney, Prabhat, B.P. Bowen, "\Identifying important ions and positions in mass spectrometry imaging data using CUR matrix decompositions", ACS Analytical Chemistry, March 2015, doi: 10.1021/ac5040264

Muammar El Khatib, Oriana Brea, Edoardo Fertitta, Stefano Evangelisti, Thierry Leininger, Gian Lugi Bendazzoli, "The total position- spread tensor: spin partition", J. Chem. Phys. 142, 094113 (2015), March 5, 2015,

C. Yang, Fast Numerical Methods for Computational Materials Science and Chemistry, CRD All-hands meeting, March 4, 2015,

Marc Baboulin, Xiaoye S. Li, Francois-Henry Rouet, "Using random butterfly transformations to avoid pivoting in sparse direct methods", High Performance Computing for Computational Science - VECPAR 2014, Lecture Notes in Computer Science, Springer. Preprint, 2015,

Patrick R. Amestoy, Jean-Yves L'Excellent, François-Henry Rouet, M. Wissam Sid-Lakhdar, "Modeling 1D distributed-memory dense kernels for an asynchronous multifrontal sparse solver", High Performance Computing for Computational Science - VECPAR 2014, Lecture Notes in Computer Science, Springer. Preprint, 2015,

R. Oguz Selvitopi, Muhammet Mustafa Ozdal, Cevdet Aykanat, "A Novel Method for Scaling Iterative Solvers: Avoiding Latency Overhead of Parallel Sparse-Matrix Vector Multiplies", IEEE Transactions on Parallel and Distributed Systems (TPDS), March 2015, 26, 3:632-645, doi: 10.1109/TPDS.2014.2311804

E. Vecharynski, C. Yang, J. E. Pask, "A projected preconditioned conjugate gradient algorithm for computing many extreme eigenpairs of a Hermitian matrix", Journal of Computational Physics, Vol. 290, pp. 73–89, 2015,

We present an iterative algorithm for computing an invariant subspace associated with the algebraically smallest eigenvalues of a large sparse or structured Hermitian matrix A. We are interested in the case in which the dimension of the invariant subspace is large (e.g., over several hundreds or thousands) even though it may still be small relative to the dimension of A. These problems arise from, for example, density functional theory (DFT) based electronic structure calculations for complex materials. The key feature of our algorithm is that it performs fewer Rayleigh–Ritz calculations compared to existing algorithms such as the locally optimal block preconditioned conjugate gradient or the Davidson algorithm. It is a block algorithm, and hence can take advantage of efficient BLAS3 operations and be implemented with multiple levels of concurrency. We discuss a number of practical issues that must be addressed in order to implement the algorithm efficiently on a high performance computer.

David H. Bailey, Jonathan M. Borwein, Marcos Lopez de Prado, Qiji Jim Zhu, "The probability of backtest overfitting", Journal of Computational Finance, February 27, 2015,

Sean Peisert, et al., "ASCR Cybersecurity for Scientific Computing Integrity", U.S. Department of Energy Office of Science report, February 27, 2015, LBNL 6953E, doi: 10.2172/1223021

Hansen, G., D. Stone, M. Auffhammer, C. Huggel, W. Cramer, "Linking local impacts to changes in climate: a guide to attribution", Regional Environmental Change, 2015, doi: 10.1007/s10113-015-0760-y

W. Yoo, A. Sim, "Network Bandwidth Utilization Forecast Model on High Bandwidth Networks", IEEE International Conference on Computing, Networking and Communications (ICNC’15), 2015,

Wei Hu, Lin Lin and Chao Yang, "Edge reconstruction in armchair phosphorene nanoribbons revealed by discontinuous Galerkin density functional theory", Phys. Chem. Chem. Phys., 2015, Advance Article, February 11, 2015, doi: 10.1039/C5CP00333D

With the help of our recently developed massively parallel DGDFT (Discontinuous Galerkin Density Functional Theory) methodology, we perform large-scale Kohn–Sham density functional theory calculations on phosphorene nanoribbons with armchair edges (ACPNRs) containing a few thousands to ten thousand atoms. The use of DGDFT allows us to systematically achieve a conventional plane wave basis set type of accuracy, but with a much smaller number (about 15) of adaptive local basis (ALB) functions per atom for this system. The relatively small number of degrees of freedom required to represent the Kohn–Sham Hamiltonian, together with the use of the pole expansion the selected inversion (PEXSI) technique that circumvents the need to diagonalize the Hamiltonian, results in a highly efficient and scalable computational scheme for analyzing the electronic structures of ACPNRs as well as their dynamics. The total wall clock time for calculating the electronic structures of large-scale ACPNRs containing 1080–10 800 atoms is only 10–25 s per self-consistent field (SCF) iteration, with accuracy fully comparable to that obtained from conventional planewave DFT calculations. For the ACPNR system, we observe that the DGDFT methodology can scale to 5000–50 000 processors. We use DGDFT based ab initio molecular dynamics (AIMD) calculations to study the thermodynamic stability of ACPNRs. Our calculations reveal that a 2 × 1 edge reconstruction appears in ACPNRs at room temperature.

C. Yang, Fast Numerical Methods for Electronic Structure Calculations, Workshop on High Performance and Parallel Computing Methods and Algorithms for Materials Defects, Singapore, February 9, 2015,

Hongzhang Shan, Samuel Williams, Wibe de Jong, Leonid Oliker, "Thread-Level Parallelization and Optimization of NWChem for the Intel MIC Architecture", Programming Models and Applications for Multicores and Manycores (PMAM), February 2015,

Costin Iancu, Nicholas Chaimov, Khaled Z. Ibrahim, Samuel Williams, "Exploiting Communication Concurrency on High Performance Computing Systems", Programming Models and Applications for Multicores and Manycores (PMAM), February 2015,

Milind Chabbi, Wim Lavrijsen, Wibe de Jong, Koushik Sen, John Mellor Crummey, Costin Iancu, "Barrier Elision for Production Parallel Programs", PPOPP 2015, February 5, 2015,

Sang-Yun Oh, Bala Rajaratnam, Joong-Ho Won, "On the Solution Path of Regularized Covariance Estimators", (submitted), 2015,

Daniel F. Martin, Response of the Antarctic Ice Sheet to Ocean Forcing using the POPSICLES Coupled Ice sheet-ocean model, Joint Land Ice Working Group/Polar Climate Working Group Meeting, Boulder, CO, February 3, 2015,

Zarija Lukić, Casey Stark, Peter Nugent, Martin White, Avery Meiksin, Ann Almgren, "The Lyman α forest in optically thin hydrodynamical simulations", Monthly Notices of the Royal Astronomical Society, 2015, 446:3697,

Aydin Buluç, Henning Meyerhenke, Ilya Safro, Peter Sanders, Christian Schulz., "Recent advances in graph partitioning", ArXiv, ( 2015)

Lawal, K., D. Stone, T. Aina, C. Rye, B. Abiodun, "Trends in the potential spread of seasonal climate simulations over South Africa", International Journal of Climatology, 2015, doi: 10.1002/joc.4234

Thorsten Kurth, Andrew Pochinsky, Abhinav Sarje, Sergey Syritsyn, Andre Walker-Loud, "High-Performance I/O: HDF5 for Lattice QCD", arXiv:1501.06992, January 2015,

Practitioners of lattice QCD/QFT have been some of the primary pioneer users of the state-of-the-art high-performance-computing systems, and contribute towards the stress tests of such new machines as soon as they become available. As with all aspects of high-performance-computing, I/O is becoming an increasingly specialized component of these systems. In order to take advantage of the latest available high-performance I/O infrastructure, to ensure reliability and backwards compatibility of data files, and to help unify the data structures used in lattice codes, we have incorporated parallel HDF5 I/O into the SciDAC supported USQCD software stack. Here we present the design and implementation of this I/O framework. Our HDF5 implementation outperforms optimized QIO at the 10-20% level and leaves room for further improvement by utilizing appropriate dataset chunking.

Anastasiia Butko, Rafael Garibotti, Luciano Ost, Vianney Lapotre, Abdoulaye Gamatie, Gilles Sassatelli, Chris Adeniyi-Jones, "A trace-driven approach for fast and accurate simulation of manycore architectures", Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific, Chiba, Japan, IEEE, January 19, 2015, doi: 10.1109/ASPDAC.2015.7059093

The evolution of manycore systems, forecasted to feature hundreds of cores by the end of the decade calls for efficient solutions for design space exploration and debugging. Among the relevant existing solutions the well-known gem5 simulator provides a rich architecture description framework. However, these features come at the price of prohibitive simulation time that limits the scope of possible explorations to configurations made of tens of cores. To address this limitation, this paper proposes a novel trace-driven simulation approach for efficient exploration of manycore architectures.

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David Trebotich, Daniel T. Graves, "An Adaptive Finite Volume Method for the Incompressible Navier-Stokes Equations in Complex Geometries", Communications in Applied Mathematics and Computational Science, January 15, 2015, 10-1:43-82, doi: 10.2140/camcos.2015.10.43

David H. Bailey, Jonathan M. Borwein, "Experimental mathematics in the society of the future", January 11, 2015,

M. Adams, P. Colella, D. T. Graves, J.N. Johnson, N.D. Keen, T. J. Ligocki. D. F. Martin. P.W. McCorquodale, D. Modiano. P.O. Schwartz, T.D. Sternberg, B. Van Straalen, "Chombo Software Package for AMR Applications - Design Document", Lawrence Berkeley National Laboratory Technical Report LBNL-6616E, January 9, 2015,

P. Colella, D. T. Graves, T. J. Ligocki, G.H. Miller , D. Modiano, P.O. Schwartz, B. Van Straalen, J. Pillod, D. Trebotich, M. Barad, "EBChombo Software Package for Cartesian Grid, Embedded Boundary Applications", Lawrence Berkeley National Laboratory Technical Report LBNL-6615E, January 9, 2015,

J. Chapman, M. Mascher, A. Buluç, K. Barry, E. Georganas, A. Session, V. Strnadova, J. Jenkins, S. Sehgal, L. Oliker, J Schmutz, K. Yelick, U. Scholz, R. Waugh, J. Poland, G. Muehlbauer, N. Stein, D. Rokhsar, "A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome", Genome biology, 2015,

David H. Bailey, David Borwein, Jonathan M. Borwein, "On Eulerian log-gamma integrals and Tornheim-Witten zeta functions", Ramanujan Journal, January 1, 2015, 36:43-68,

Patrick R. Amestoy, Iain S. Duff, Jean-Yves L'Excellent, François-Henry Rouet, "Parallel computation of entries of A-1", Siam Journal on Scientific Computing, 2015. To appear., 2015,

D. Zuev, E. Vecharynski, C. Yang, N. Orms, and A.I. Krylov, "New algorithms for iterative matrix-free eigensolvers in quantum chemistry", Journal of Computational Chemistry, Vol. 36, Issue 5, pp. 273–284, 2015,

New algorithms for iterative diagonalization procedures that solve for a small set of eigen-states of a large matrix are described. The performance of the algorithms is illustrated by calculations of low and high-lying ionized and electronically excited states using equation-of-motion coupled-cluster methods with single and double substitutions (EOM-IP-CCSD and EOM-EE-CCSD). We present two algorithms suitable for calculating excited states that are close to a specified energy shift (interior eigenvalues). One solver is based on the Davidson algorithm, a diagonalization procedure commonly used in quantum-chemical calculations. The second is a recently developed solver, called the “Generalized Preconditioned Locally Harmonic Residual (GPLHR) method.” We also present a modification of the Davidson procedure that allows one to solve for a specific transition. The details of the algorithms, their computational scaling, and memory requirements are described. The new algorithms are implemented within the EOM-CC suite of methods in the Q-Chem electronic structure program.

David H. Bailey, Stephanie Ger, Marcos Lopez de, Alexander Sim, Kesheng Wu, "Statistical Overfitting and Backtest Performance", Quantitative Finance, 2015,

http://ssrn.com/abstract=2507040

D Unat, C Chan, W Zhang, S Williams, J Bachan, J Bell, J Shalf, "ExaSAT: An exascale co-design tool for performance modeling", International Journal of High Performance Computing Applications, January 2015, 29:209--232, doi: 10.1177/1094342014568690

Max Duarte, Ann Almgren, John Bell, "A Low Mach Number Model for Moist Atmospheric Flows", 72(4), pp. 1605-1620, Journal of Atmospheric Sciences, 2015,

Max Duarte, Matthew Emmett, "High order schemes based on operator splitting and deferred corrections for stiff time-dependent PDEs", submitted for publication, 2015,

J Müller, R Paudel, CA Shoemaker, J Woodbury, Y Wang, N Mahowald, "CH4 parameter estimation in CLM4.5bgc using surrogate global optimization", Geoscientific Model Development, January 2015, 8:3285--3310, doi: 10.5194/gmd-8-3285-2015

M. Zingale, C. M. Malone, A. Nonaka, A. S. Almgren, and J. B. Bell, "Comparisons of Two- and Three-Dimensional Convection in Type I X-ray Bursts", Astrophysical Journal, 807, 2015,

A. Nonaka, Y. Sun, J. B. Bell, and A. Donev, "Low Mach Number Fluctuating Hydrodynamics of Binary Liquid Mixtures", Comm. App. Math. and Comp. Sci., vol. 10, 2015,

AJ Aspden, MS Day, JB Bell, "Turbulence-chemistry interaction in lean premixed hydrogen combustion", Proceedings of the Combustion Institute, 2015, 35:1321--1329, doi: 10.1016/j.proci.2014.08.012

ML Minion, R Speck, M Bolten, M Emmett, D Ruprecht, "Interweaving pfasst and parallel multigrid", SIAM Journal on Scientific Computing, 2015, 37:S244--SS26, doi: 10.1137/14097536X

R. Speck, D. Ruprecht, M. Emmett, M. Bolten, and R. Krause, "A space-time parallel solver for the three-dimensional heat equation", submitted for publication, 2015,

JC Dolence, A Burrows, W Zhang, "Two-Dimensional core-collapse supernova models with multi-dimensional transport", Astrophysical Journal Letters, 2015, 800, doi: 10.1088/0004-637X/800/1/10

R Speck, D Ruprecht, M Emmett, M Minion, M Bolten, R Krause, "A multi-level spectral deferred correction method", BIT NUMERICAL MATHEMATICS, 2015, 55:843--867, doi: 10.1007/s10543-014-0517-x

A. Donev, A. Nonaka, A. K. Bhattacharjee, A. L. Garcia, J. B. Bell, "Low Mach Number Fluctuating Hydrodynamics of Multispecies Liquid Mixtures", Phys. Fluids, 27, 2015,

R. E. Firth, M. Sullivan, A. Gal-Yam, D. A. Howell, K., P. Nugent, A. L. Piro, C. Baltay, U., E. Hadjiyksta, R. McKinnon, E. Ofek, D. Rabinowitz, E. S. Walker, "The rising light curves of Type Ia supernovae", Monthly Notices of the RAS, 2015, 446:3895-3910, doi: 10.1093/mnras/stu2314

A. G. Kim, N. Padmanabhan, G. Aldering, S. W. Allen, C., R. N. Cahn, C. B. D Andrea, N. Dalal, K. S., K. D. Denney, D. J. Eisenstein, D. A., W. L. Freedman, S. Ho, D. E. Holz, D., S. M. Kent, R. Kessler, S. Kuhlmann, E. V., P. Martini, P. E. Nugent, S. Perlmutter, B. M., A. G. Riess, D. Rubin, M. Sako, N. V., N. Suzuki, R. C. Thomas, W. M. Wood-Vasey, S. E. Woosley, "Distance probes of dark energy", Astroparticle Physics, 2015, 63:2-22, doi: 10.1016/j.astropartphys.2014.05.007

C. Saunders, G. Aldering, P. Antilogus, C. Aragon, S., C. Baltay, S. Bongard, C. Buton, A., F. Cellier-Holzem, M. Childress, N., Y. Copin, H. K. Fakhouri, U. Feindt, E., J. Guy, M. Kerschhaggl, A. G. Kim, M., J. Nordin, P. Nugent, K. Paech, R., E. Pecontal, R. Pereira, S. Perlmutter, D., M. Rigault, D. Rubin, K. Runge, R., G. Smadja, C. Tao, R. C. Thomas, B. A. Weaver, C. Wu, Nearby Supernova Factory, "Type Ia Supernova Distance Modulus Bias and Dispersion from K-correction Errors: A Direct Measurement Using Light Curve Fits to Observed Spectral Time Series", Astrophysical Journal, 2015, 800:57, doi: 10.1088/0004-637X/800/1/57

Y.-C. Pan, M. Sullivan, K. Maguire, A. Gal-Yam, I. M., D. A. Howell, P. E. Nugent, P. A. Mazzali, "Type Ia supernova spectral features in the context of their host galaxy properties", Monthly Notices of the RAS, 2015, 446:354-368, doi: 10.1093/mnras/stu2121

C. J. White, M. M. Kasliwal, P. E. Nugent, A., D. A. Howell, M. Sullivan, A. Goobar, A. L., J. S. Bloom, S. R. Kulkarni, R. R. Laher, F., E. O. Ofek, J. Surace, S. Ben-Ami, Y., S. B. Cenko, I. M. Hook, J. J\ onsson, T., A. Sternberg, R. M. Quimby, O. Yaron, "Slow-speed Supernovae from the Palomar Transient Factory: Two Channels", Astrophysical Journal, 2015, 799:52, doi: 10.1088/0004-637X/799/1/52

Y Gong, WA De Jong, JK Gibson, "Gas Phase Uranyl Activation: Formation of a Uranium Nitrosyl Complex from Uranyl Azide", Journal of the American Chemical Society, January 1, 2015, 137:5911--5915, doi: 10.1021/jacs.5b02420

M Chabbi, W Lavrijsen, W De Jong, K Sen, J Mellor-Crummey, C Iancu, "Barrier elision for production parallel programs", Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, January 1, 2015, 2015-Jan:109--119, doi: 10.1145/2688500.2688502

A Chien, P Balaji, P Beckman, N Dun, A Fang, H Fujita, K Iskra, Z Rubenstein, Z Zheng, R Schreiber, others, "Versioned Distributed Arrays for Resilience in Scientific Applications: Global View Resilience", Journal of Computational Science, 2015,

Georgia Koutsandria, Reinhard Gentz, Mahdi Jamei, Anna Scaglione, Sean Peisert, Chuck McParland, "A real-time testbed environment for cyber-physical security on the power grid", Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy, January 1, 2015, 67--78, doi: 10.1145/2808705.2808707

E Georganas, A Buluç, J Chapman, S Hofmeyr, C Aluru, R Egan, L Oliker, D Rokhsar, K Yelick, "HipMer: An extreme-scale de novo genome assembler", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, January 1, 2015, 15-20-No, doi: 10.1145/2807591.2807664

P.A.R. Ade, N. Aghanim, C. Armitage-Caplan, M. Arnaud, M. Ashdown, F. Atrio-Barandela, J. Aumont, H. Aussel, C. Baccigalupi, A.J. Banday, R.B. Barreiro, R. Barrena, M. Bartelmann, J.G. Bartlett, E. Battaner, K. Benabed, A. Benoît, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, I. Bikmaev, J. Bobin, J.J. Bock, H. Böhringer, A. Bonaldi, J.R. Bond, J. Borrill, F.R. Bouchet, M. Bridges, M. Bucher, R. Burenin, C. Burigana, R.C. Butler, J.-F. Cardoso, P. Carvalho, A. Catalano, A. Challinor, A. Chamballu, R.-R. Chary, X. Chen, H.C. Chiang, L.-Y. Chiang, G. Chon, P.R. Christensen, E. Churazov, S. Church, D.L. Clements, S. Colombi, L.P.L. Colombo, B. Comis, F. Couchot, A. Coulais, B.P. Crill, A. Curto, F. Cuttaia, A. Da Silva, H. Dahle, L. Danese, R.D. Davies, R.J. Davis, P. De Bernardis, A. De Rosa, G. De Zotti, J. Delabrouille, J.-M. Delouis, J. Démoclès, F.-X. Désert, C. Dickinson, J.M. Diego, K. Dolag, H. Dole, S. Donzelli, O. Doré, M. Douspis, X. Dupac, G. Efstathiou, T.A. Enßlin, H.K. Eriksen, F. Feroz, A. Ferragamo, F. Finelli, I. Flores-Cacho, O. Forni, M. Frailis, E. Franceschi, S. Fromenteau, S. Galeotta, K. Ganga, R.T. Génova-Santos, M. Giard, G. Giardino, M. Gilfanov, Y. Giraud-Héraud, J. González-Nuevo, K.M. Górski, K.J.B. Grainge, S. Gratton, A. Gregorio, N.E. Groeneboom, A. Gruppuso, F.K. Hansen, D. Hanson, D. Harrison, A. Hempel, S. Henrot-Versillé, C. Hernández-Monteagudo, D. Herranz, S.R. Hildebrandt, E. Hivon, M. Hobson, W.A. Holmes, A. Hornstrup, W. Hovest, K.M. Huffenberger, G. Hurier, N. Hurley-Walker, A.H. Jaffe, T.R. Jaffe, W.C. Jones, M. Juvela, E. Keihänen, R. Keskitalo, I. Khamitov, T.S. Kisner, R. Kneissl, J. Knoche, L. Knox, M. Kunz, H. Kurki-Suonio, G. Lagache, A. Lähteenmäki, J.-M. Lamarre, A. Lasenby, R.J. Laureijs, C.R. Lawrence, J.P. Leahy, R. Leonardi, J. León-Tavares, J. Lesgourgues, C. Li, A. Liddle, M. Liguori, P.B. Lilje, M. Linden-Vørnle, M. López-Caniego, P.M. Lubin, J.F. Macías-Pérez, C.J. Mactavish, B. Maffei, D. Maino, N. Mandolesi, M. Maris, D.J. Marshall, P.G. Martin, E. Martínez-González, S. Masi, M. Massardi, S. Matarrese, F. Matthai, P. Mazzotta, S. Mei, P.R. Meinhold, A. Melchiorri, J.-B. Melin, L. Mendes, A. Mennella, M. Migliaccio, K. Mikkelsen, S. Mitra, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, D. Munshi, J.A. Murphy, P. Naselsky, A. Nastasi, F. Nati, P. Natoli, N.P.H. Nesvadba, C.B. Netterfield, H.U. Nørgaard-Nielsen, F. Noviello, D. Novikov, I. Novikov, I.J. O Dwyer, M. Olamaie, S. Osborne, C.A. Oxborrow, F. Paci, L. Pagano, F. Pajot, D. Paoletti, F. Pasian, G. Patanchon, T.J. Pearson, O. Perdereau, L. Perotto, Y.C. Perrott, F. Perrotta, F. Piacentini, M. Piat, E. Pierpaoli, D. Pietrobon, S. Plaszczynski, E. Pointecouteau, G. Polenta, N. Ponthieu, L. Popa, T. Poutanen, G.W. Pratt, G. Prézeau, S. Prunet, J.-L. Puget, J.P. Rachen, W.T. Reach, R. Rebolo, M. Reinecke, M. Remazeilles, C. Renault, S. Ricciardi, T. Riller, I. Ristorcelli, G. Rocha, C. Rosset, G. Roudier, M. Rowan-Robinson, J.A. Rubiño-Martín, C. Rumsey, B. Rusholme, M. Sandri, D. Santos, R.D.E. Saunders, G. Savini, M.P. Schammel, D. Scott, M.D. Seiffert, E.P.S. Shellard, T.W. Shimwell, L.D. Spencer, J.-L. Starck, V. Stolyarov, R. Stompor, A. Streblyanska, R. Sudiwala, R. Sunyaev, F. Sureau, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J.A. Tauber, D. Tavagnacco, L. Terenzi, L. Toffolatti, M. Tomasi, D. Tramonte, M. Tristram, M. Tucci, J. Tuovinen, M. Türler, G. Umana, L. Valenziano, J. Valiviita, B. Van Tent, L. Vibert, P. Vielva, F. Villa, N. Vittorio, L.A. Wade, B.D. Wandelt, M. White, S.D.M. White, D. Yvon, A. Zacchei, A. Zonca, "Planck 2013 results. XXXII. the updated Planck catalogue of Sunyaev-Zeldovich sources", Astronomy and Astrophysics, 2015, 581, doi: 10.1051/0004-6361/201525787

P.A.R. Ade, N. Aghanim, M. Arnaud, M. Ashdown, J. Aumont, C. Baccigalupi, A.J. Banday, R.B. Barreiro, E. Battaner, K. Benabed, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, J.R. Bond, J. Borrill, F.R. Bouchet, C. Burigana, R.C. Butler, E. Calabrese, A. Chamballu, H.C. Chiang, P.R. Christensen, D.L. Clements, L.P.L. Colombo, F. Couchot, A. Curto, F. Cuttaia, L. Danese, R.D. Davies, R.J. Davis, P. De Bernardis, A. De Rosa, G. De Zotti, J. Delabrouille, J.M. Diego, H. Dole, O. Doré, X. Dupac, T.A. Enßlin, H.K. Eriksen, O. Fabre, F. Finelli, O. Forni, M. Frailis, E. Franceschi, S. Galeotta, S. Galli, K. Ganga, M. Giard, J. González-Nuevo, K.M. Górski, A. Gregorio, A. Gruppuso, F.K. Hansen, D. Hanson, D.L. Harrison, S. Henrot-Versillé, C. Hernández-Monteagudo, D. Herranz, S.R. Hildebrandt, E. Hivon, M. Hobson, W.A. Holmes, A. Hornstrup, W. Hovest, K.M. Huffenberger, A.H. Jaffe, W.C. Jones, E. Keihänen, R. Keskitalo, R. Kneissl, J. Knoche, M. Kunz, H. Kurki-Suonio, J.-M. Lamarre, A. Lasenby, C.R. Lawrence, R. Leonardi, J. Lesgourgues, M. Liguori, P.B. Lilje, M. Linden-Vørnle, M. López-Caniego, P.M. Lubin, J.F. Macías-Pérez, N. Mandolesi, M. Maris, P.G. Martin, E. Martínez-González, S. Masi, S. Matarrese, P. Mazzotta, P.R. Meinhold, A. Melchiorri, L. Mendes, E. Menegoni, A. Mennella, M. Migliaccio, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, A. Moss, D. Munshi, J.A. Murphy, P. Naselsky, F. Nati, P. Natoli, H.U. Nørgaard-Nielsen, F. Noviello, D. Novikov, I. Novikov, C.A. Oxborrow, L. Pagano, F. Pajot, D. Paoletti, F. Pasian, G. Patanchon, O. Perdereau, L. Perotto, F. Perrotta, F. Piacentini, M. Piat, E. Pierpaoli, D. Pietrobon, S. Plaszczynski, E. Pointecouteau, G. Polenta, N. Ponthieu, L. Popa, G.W. Pratt, S. Prunet, J.P. Rachen, R. Rebolo, M. Reinecke, M. Remazeilles, C. Renault, S. Ricciardi, I. Ristorcelli, G. Rocha, G. Roudier, B. Rusholme, M. Sandri, G. Savini, D. Scott, L.D. Spencer, V. Stolyarov, R. Sudiwala, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J.A. Tauber, D. Tavagnacco, L. Terenzi, L. Toffolatti, M. Tomasi, M. Tristram, M. Tucci, J.-P. Uzan, L. Valenziano, J. Valiviita, B. Van Tent, P. Vielva, F. Villa, L.A. Wade, D. Yvon, A. Zacchei, A. Zonca, "Planck intermediate results: XXIV. Constraints on variations in fundamental constants", Astronomy and Astrophysics, 2015, 580, doi: 10.1051/0004-6361/201424496

J. Borrill, R. Keskitalo, T. Kisner, "Big bang, big data, big iron: Fifteen years of cosmic microwave background data analysis at NERSC", Computing in Science and Engineering, 2015, 17:22-29, doi: 10.1109/MCSE.2015.1

P.A.R. Ade, M.I.R. Alves, G. Aniano, C. Armitage-Caplan, M. Arnaud, F. Atrio-Barandela, J. Aumont, C. Baccigalupi, A.J. Banday, R.B. Barreiro, E. Battaner, K. Benabed, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, J.J. Bock, J.R. Bond, J. Borrill, F.R. Bouchet, F. Boulanger, C. Burigana, J.-F. Cardoso, A. Catalano, A. Chamballu, H.C. Chiang, L.P.L. Colombo, C. Combet, F. Couchot, A. Coulais, B.P. Crill, A. Curto, F. Cuttaia, L. Danese, R.D. Davies, R.J. Davis, P. De Bernardis, G. De Zotti, J. Delabrouille, F.-X. Désert, C. Dickinson, J.M. Diego, S. Donzelli, O. Doré, M. Douspis, J. Dunkley, X. Dupac, T.A. Enßlin, H.K. Eriksen, E. Falgarone, F. Finelli, O. Forni, M. Frailis, A.A. Fraisse, E. Franceschi, S. Galeotta, K. Ganga, T. Ghosh, M. Giard, J. González-Nuevo, K.M. Górski, A. Gregorio, A. Gruppuso, V. Guillet, F.K. Hansen, D.L. Harrison, G. Helou, C. Hernández-Monteagudo, S.R. Hildebrandt, E. Hivon, M. Hobson, W.A. Holmes, A. Hornstrup, A.H. Jaffe, T.R. Jaffe, W.C. Jones, E. Keihänen, R. Keskitalo, T.S. Kisner, R. Kneissl, J. Knoche, M. Kunz, H. Kurki-Suonio, G. Lagache, J.-M. Lamarre, A. Lasenby, C.R. Lawrence, J.P. Leahy, R. Leonardi, F. Levrier, M. Liguori, P.B. Lilje, M. Linden-Vørnle, M. López-Caniego, P.M. Lubin, J.F. Macías-Pérez, B. Maffei, A.M. Magalhães, D. Maino, N. Mandolesi, M. Maris, D.J. Marshall, P.G. Martin, E. Martínez-González, S. Masi, S. Matarrese, P. Mazzotta, A. Melchiorri, L. Mendes, A. Mennella, M. Migliaccio, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, D. Munshi, J.A. Murphy, P. Naselsky, F. Nati, P. Natoli, C.B. Netterfield, F. Noviello, D. Novikov, I. Novikov, N. Oppermann, C.A. Oxborrow, L. Pagano, F. Pajot, D. Paoletti, F. Pasian, O. Perdereau, L. Perotto, F. Perrotta, F. Piacentini, D. Pietrobon, S. Plaszczynski, E. Pointecouteau, G. Polenta, L. Popa, G.W. Pratt, J.P. Rachen, W.T. Reach, M. Reinecke, M. Remazeilles, C. Renault, S. Ricciardi, T. Riller, I. Ristorcelli, G. Rocha, C. Rosset, G. Roudier, J.A. Rubiño-Martín, B. Rusholme, E. Salerno, M. Sandri, G. Savini, D. Scott, L.D. Spencer, V. Stolyarov, R. Stompor, R. Sudiwala, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J.A. Tauber, L. Terenzi, L. Toffolatti, M. Tomasi, M. Tristram, M. Tucci, L. Valenziano, J. Valiviita, B. Van Tent, P. Vielva, F. Villa, B.D. Wandelt, A. Zacchei, A. Zonca, "Planck intermediate results. XXII. Frequency dependence of thermal emission from Galactic dust in intensity and polarization", Astronomy and Astrophysics, 2015, 576, doi: 10.1051/0004-6361/201424088

P.A.R. Ade, N. Aghanim, D. Alina, M.I.R. Alves, C. Armitage-Caplan, M. Arnaud, D. Arzoumanian, M. Ashdown, F. Atrio-Barandela, J. Aumont, C. Baccigalupi, A.J. Banday, R.B. Barreiro, E. Battaner, K. Benabed, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, J.J. Bock, J.R. Bond, J. Borrill, F.R. Bouchet, F. Boulanger, A. Bracco, C. Burigana, R.C. Butler, J.-F. Cardoso, A. Catalano, A. Chamballu, R.-R. Chary, H.C. Chiang, P.R. Christensen, S. Colombi, L.P.L. Colombo, C. Combet, F. Couchot, A. Coulais, B.P. Crill, A. Curto, F. Cuttaia, L. Danese, R.D. Davies, R.J. Davis, P. De Bernardis, E.M. De Gouveia Dal Pino, A. De Rosa, G. De Zotti, J. Delabrouille, F.-X. Désert, C. Dickinson, J.M. Diego, S. Donzelli, O. Doré, M. Douspis, J. Dunkley, X. Dupac, G. Efstathiou, T.A. Enßlin, H.K. Eriksen, E. Falgarone, K. Ferrière, F. Finelli, O. Forni, M. Frailis, A.A. Fraisse, E. Franceschi, S. Galeotta, K. Ganga, T. Ghosh, M. Giard, Y. Giraud-Héraud, J. González-Nuevo, K.M. Górski, A. Gregorio, A. Gruppuso, V. Guillet, F.K. Hansen, D.L. Harrison, G. Helou, C. Hernández-Monteagudo, S.R. Hildebrandt, E. Hivon, M. Hobson, W.A. Holmes, A. Hornstrup, K.M. Huffenberger, A.H. Jaffe, T.R. Jaffe, W.C. Jones, M. Juvela, E. Keihänen, R. Keskitalo, T.S. Kisner, R. Kneissl, J. Knoche, M. Kunz, H. Kurki-Suonio, G. Lagache, A. Lähteenmäki, J.-M. Lamarre, A. Lasenby, C.R. Lawrence, J.P. Leahy, R. Leonardi, F. Levrier, M. Liguori, P.B. Lilje, M. Linden-Vørnle, M. López-Caniego, P.M. Lubin, J.F. Macías-Pérez, B. Maffei, A.M. Magalhães, D. Maino, N. Mandolesi, M. Maris, D.J. Marshall, P.G. Martin, E. Martínez-González, S. Masi, S. Matarrese, P. Mazzotta, A. Melchiorri, L. Mendes, A. Mennella, M. Migliaccio, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, D. Munshi, J.A. Murphy, P. Naselsky, F. Nati, P. Natoli, C.B. Netterfield, F. Noviello, D. Novikov, I. Novikov, C.A. Oxborrow, L. Pagano, F. Pajot, R. Paladini, D. Paoletti, F. Pasian, T.J. Pearson, O. Perdereau, L. Perotto, F. Perrotta, F. Piacentini, M. Piat, D. Pietrobon, S. Plaszczynski, F. Poidevin, E. Pointecouteau, G. Polenta, L. Popa, G.W. Pratt, S. Prunet, J.-L. Puget, J.P. Rachen, W.T. Reach, R. Rebolo, M. Reinecke, M. Remazeilles, C. Renault, S. Ricciardi, T. Riller, I. Ristorcelli, G. Rocha, C. Rosset, G. Roudier, J.A. Rubiño-Martín, B. Rusholme, M. Sandri, G. Savini, D. Scott, L.D. Spencer, V. Stolyarov, R. Stompor, R. Sudiwala, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J.A. Tauber, L. Terenzi, L. Toffolatti, M. Tomasi, M. Tristram, M. Tucci, G. Umana, L. Valenziano, J. Valiviita, B. Van Tent, P. Vielva, F. Villa, L.A. Wade, B.D. Wandelt, A. Zacchei, A. Zonca, "Planck intermediate results. XIX. An overview of the polarized thermal emission from Galactic dust", Astronomy and Astrophysics, 2015, 576, doi: 10.1051/0004-6361/201424082

P.A.R. Ade, N. Aghanim, D. Alina, M.I.R. Alves, G. Aniano, C. Armitage-Caplan, M. Arnaud, D. Arzoumanian, M. Ashdown, F. Atrio-Barandela, J. Aumont, C. Baccigalupi, A.J. Banday, R.B. Barreiro, E. Battaner, K. Benabed, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, J.R. Bond, J. Borrill, F.R. Bouchet, F. Boulanger, A. Bracco, C. Burigana, J.-F. Cardoso, A. Catalano, A. Chamballu, H.C. Chiang, P.R. Christensen, S. Colombi, L.P.L. Colombo, C. Combet, F. Couchot, A. Coulais, B.P. Crill, A. Curto, F. Cuttaia, L. Danese, R.D. Davies, R.J. Davis, P. De Bernardis, A. De Rosa, G. De Zotti, J. Delabrouille, C. Dickinson, J.M. Diego, S. Donzelli, O. Doré, M. Douspis, X. Dupac, G. Efstathiou, T.A. Enßlin, H.K. Eriksen, E. Falgarone, L. Fanciullo, K. Ferrière, F. Finelli, O. Forni, M. Frailis, A.A. Fraisse, E. Franceschi, S. Galeotta, K. Ganga, T. Ghosh, M. Giard, Y. Giraud-Héraud, J. González-Nuevo, K.M. Górski, A. Gregorio, A. Gruppuso, V. Guillet, F.K. Hansen, D.L. Harrison, G. Helou, C. Hernández-Monteagudo, S.R. Hildebrandt, E. Hivon, M. Hobson, W.A. Holmes, A. Hornstrup, K.M. Huffenberger, A.H. Jaffe, T.R. Jaffe, W.C. Jones, M. Juvela, E. Keihänen, R. Keskitalo, T.S. Kisner, R. Kneissl, J. Knoche, M. Kunz, H. Kurki-Suonio, G. Lagache, J.-M. Lamarre, A. Lasenby, C.R. Lawrence, R. Leonardi, F. Levrier, M. Liguori, P.B. Lilje, M. Linden-Vørnle, M. López-Caniego, P.M. Lubin, J.F. Macías-Pérez, D. Maino, N. Mandolesi, M. Maris, D.J. Marshall, P.G. Martin, E. Martínez-González, S. Masi, S. Matarrese, P. Mazzotta, A. Melchiorri, L. Mendes, A. Mennella, M. Migliaccio, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, D. Munshi, J.A. Murphy, P. Naselsky, F. Nati, P. Natoli, C.B. Netterfield, F. Noviello, D. Novikov, I. Novikov, C.A. Oxborrow, L. Pagano, F. Pajot, D. Paoletti, F. Pasian, V.-M. Pelkonen, O. Perdereau, L. Perotto, F. Perrotta, F. Piacentini, M. Piat, D. Pietrobon, S. Plaszczynski, E. Pointecouteau, G. Polenta, L. Popa, G.W. Pratt, S. Prunet, J.-L. Puget, J.P. Rachen, M. Reinecke, M. Remazeilles, C. Renault, S. Ricciardi, T. Riller, I. Ristorcelli, G. Rocha, C. Rosset, G. Roudier, B. Rusholme, M. Sandri, D. Scott, J.D. Soler, L.D. Spencer, V. Stolyarov, R. Stompor, R. Sudiwala, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J.A. Tauber, L. Terenzi, L. Toffolatti, M. Tomasi, M. Tristram, M. Tucci, G. Umana, L. Valenziano, J. Valiviita, B. Van Tent, P. Vielva, F. Villa, L.A. Wade, B.D. Wandelt, A. Zonca, "Planck intermediate results. XX. Comparison of polarized thermal emission from Galactic dust with simulations of MHD turbulence", Astronomy and Astrophysics, 2015, 576, doi: 10.1051/0004-6361/201424086

P.A.R. Ade, N. Aghanim, D. Alina, G. Aniano, C. Armitage-Caplan, M. Arnaud, M. Ashdown, F. Atrio-Barandela, J. Aumont, C. Baccigalupi, A.J. Banday, R.B. Barreiro, E. Battaner, C. Beichman, K. Benabed, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, J.J. Bock, J.R. Bond, J. Borrill, F.R. Bouchet, F. Boulanger, C. Burigana, J.-F. Cardoso, A. Catalano, A. Chamballu, R.-R. Chary, H.C. Chiang, P.R. Christensen, S. Colombi, L.P.L. Colombo, C. Combet, F. Couchot, A. Coulais, B.P. Crill, A. Curto, F. Cuttaia, L. Danese, R.D. Davies, R.J. Davis, P. De Bernardis, A. De Rosa, G. De Zotti, J. Delabrouille, F.-X. Désert, C. Dickinson, J.M. Diego, S. Donzelli, O. Doré, M. Douspis, J. Dunkley, X. Dupac, G. Efstathiou, T.A. Enßlin, H.K. Eriksen, E. Falgarone, L. Fanciullo, F. Finelli, O. Forni, M. Frailis, A.A. Fraisse, E. Franceschi, S. Galeotta, K. Ganga, T. Ghosh, M. Giard, Y. Giraud-Héraud, J. González-Nuevo, K.M. Górski, A. Gregorio, A. Gruppuso, V. Guillet, F.K. Hansen, D.L. Harrison, G. Helou, C. Hernández-Monteagudo, S.R. Hildebrandt, E. Hivon, M. Hobson, W.A. Holmes, A. Hornstrup, K.M. Huffenberger, A.H. Jaffe, T.R. Jaffe, W.C. Jones, M. Juvela, E. Keihänen, R. Keskitalo, T.S. Kisner, R. Kneissl, J. Knoche, M. Kunz, H. Kurki-Suonio, G. Lagache, A. Lähteenmäki, J.-M. Lamarre, A. Lasenby, C.R. Lawrence, R. Leonardi, F. Levrier, M. Liguori, P.B. Lilje, M. Linden-Vørnle, M. López-Caniego, P.M. Lubin, J.F. Macías-Pérez, B. Maffei, A.M. Magalhães, D. Maino, N. Mandolesi, M. Maris, D.J. Marshall, P.G. Martin, E. Martínez-González, S. Masi, S. Matarrese, P. Mazzotta, A. Melchiorri, L. Mendes, A. Mennella, M. Migliaccio, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, D. Munshi, J.A. Murphy, P. Naselsky, F. Nati, P. Natoli, C.B. Netterfield, F. Noviello, D. Novikov, I. Novikov, C.A. Oxborrow, L. Pagano, F. Pajot, R. Paladini, D. Paoletti, F. Pasian, O. Perdereau, L. Perotto, F. Perrotta, F. Piacentini, M. Piat, D. Pietrobon, S. Plaszczynski, F. Poidevin, E. Pointecouteau, G. Polenta, L. Popa, G.W. Pratt, S. Prunet, J.-L. Puget, J.P. Rachen, W.T. Reach, R. Rebolo, M. Reinecke, M. Remazeilles, C. Renault, S. Ricciardi, T. Riller, I. Ristorcelli, G. Rocha, C. Rosset, G. Roudier, B. Rusholme, M. Sandri, G. Savini, D. Scott, L.D. Spencer, V. Stolyarov, R. Stompor, R. Sudiwala, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J.A. Tauber, L. Terenzi, L. Toffolatti, M. Tomasi, M. Tristram, M. Tucci, G. Umana, L. Valenziano, J. Valiviita, B. Van Tent, P. Vielva, F. Villa, L.A. Wade, B.D. Wandelt, A. Zonca, "Planck intermediate results. XXI. Comparison of polarized thermal emission from Galactic dust at 353 GHz with interstellar polarization in the visible", Astronomy and Astrophysics, 2015, 576, doi: 10.1051/0004-6361/201424087

K.N. Abazajian, K. Arnold, J. Austermann, B.A. Benson, C. Bischoff, J. Bock, J.R. Bond, J. Borrill, E. Calabrese, J.E. Carlstrom, C.S. Carvalho, C.L. Chang, H.C. Chiang, S. Church, A. Cooray, T.M. Crawford, K.S. Dawson, S. Das, M.J. Devlin, M. Dobbs, S. Dodelson, O. Doré, J. Dunkley, J. Errard, A. Fraisse, J. Gallicchio, N.W. Halverson, S. Hanany, S.R. Hildebrandt, A. Hincks, R. Hlozek, G. Holder, W.L. Holzapfel, K. Honscheid, W. Hu, J. Hubmayr, K. Irwin, W.C. Jones, M. Kamionkowski, B. Keating, R. Keisler, L. Knox, E. Komatsu, J. Kovac, C.-L. Kuo, C. Lawrence, A.T. Lee, E. Leitch, E. Linder, P. Lubin, J. McMahon, A. Miller, L. Newburgh, M.D. Niemack, H. Nguyen, H.T. Nguyen, L. Page, C. Pryke, C.L. Reichardt, J.E. Ruhl, N. Sehgal, U. Seljak, J. Sievers, E. Silverstein, A. Slosar, K.M. Smith, D. Spergel, S.T. Staggs, A. Stark, R. Stompor, A.G. Vieregg, G. Wang, S. Watson, E.J. Wollack, W.L.K. Wu, K.W. Yoon, O. Zahn, "Neutrino physics from the cosmic microwave background and large scale structure", Astroparticle Physics, 2015, 63:66-80, doi: 10.1016/j.astropartphys.2014.05.014

K.N. Abazajian, K. Arnold, J. Austermann, B.A. Benson, C. Bischoff, J. Bock, J.R. Bond, J. Borrill, I. Buder, D.L. Burke, E. Calabrese, J.E. Carlstrom, C.S. Carvalho, C.L. Chang, H.C. Chiang, S. Church, A. Cooray, T.M. Crawford, B.P. Crill, K.S. Dawson, S. Das, M.J. Devlin, M. Dobbs, S. Dodelson, O. Doré, J. Dunkley, J.L. Feng, A. Fraisse, J. Gallicchio, S.B. Giddings, D. Green, N.W. Halverson, S. Hanany, D. Hanson, S.R. Hildebrandt, A. Hincks, R. Hlozek, G. Holder, W.L. Holzapfel, K. Honscheid, G. Horowitz, W. Hu, J. Hubmayr, K. Irwin, M. Jackson, W.C. Jones, R. Kallosh, M. Kamionkowski, B. Keating, R. Keisler, W. Kinney, L. Knox, E. Komatsu, J. Kovac, C.-L. Kuo, A. Kusaka, C. Lawrence, A.T. Lee, E. Leitch, A. Linde, E. Linder, P. Lubin, J. Maldacena, E. Martinec, J. McMahon, A. Miller, V. Mukhanov, L. Newburgh, M.D. Niemack, H. Nguyen, H.T. Nguyen, L. Page, C. Pryke, C.L. Reichardt, J.E. Ruhl, N. Sehgal, U. Seljak, L. Senatore, J. Sievers, E. Silverstein, A. Slosar, K.M. Smith, D. Spergel, S.T. Staggs, A. Stark, R. Stompor, A.G. Vieregg, G. Wang, S. Watson, E.J. Wollack, W.L.K. Wu, K.W. Yoon, O. Zahn, M. Zaldarriaga, "Inflation physics from the cosmic microwave background and large scale structure", Astroparticle Physics, 2015, 63:55-65, doi: 10.1016/j.astropartphys.2014.05.013

P.A.R. Ade, N. Aghanim, Z. Ahmed, R.W. Aikin, K.D. Alexander, M. Arnaud, J. Aumont, C. Baccigalupi, A.J. Banday, D. Barkats, R.B. Barreiro, J.G. Bartlett, N. Bartolo, E. Battaner, K. Benabed, A. Benoît, A. Benoit-Lévy, S.J. Benton, J.-P. Bernard, M. Bersanelli, P. Bielewicz, C.A. Bischoff, J.J. Bock, A. Bonaldi, L. Bonavera, J.R. Bond, J. Borrill, F.R. Bouchet, F. Boulanger, J.A. Brevik, M. Bucher, I. Buder, E. Bullock, C. Burigana, R.C. Butler, V. Buza, E. Calabrese, J.-F. Cardoso, A. Catalano, A. Challinor, R.-R. Chary, H.C. Chiang, P.R. Christensen, L.L. Colombo, C. Combet, J. Connors, F. Couchot, A. Coulais, B.P. Crill, A. Curto, F. Cuttaia, L. Danese, R.D. Davies, R.J. Davis, P. De Bernardis, A. De Rosa, G. De Zotti, J. Delabrouille, J.-M. Delouis, F.-X. Désert, C. Dickinson, J.M. Diego, H. Dole, S. Donzelli, O. Doré, M. Douspis, C.D. Dowell, L. Duband, A. Ducout, J. Dunkley, X. Dupac, C. Dvorkin, G. Efstathiou, F. Elsner, T.A. Enßlin, H.K. Eriksen, E. Falgarone, J.P. Filippini, F. Finelli, S. Fliescher, O. Forni, M. Frailis, A.A. Fraisse, E. Franceschi, A. Frejsel, S. Galeotta, S. Galli, K. Ganga, T. Ghosh, M. Giard, E. Gjerlow, S.R. Golwala, J. González-Nuevo, K.M. Górski, S. Gratton, A. Gregorio, A. Gruppuso, J.E. Gudmundsson, M. Halpern, "Joint analysis of BICEP2/Keck array and planck data", Physical Review Letters, 2015, 114, doi: 10.1103/PhysRevLett.114.101301

M. Arnaud, F. Atrio-Barandela, J. Aumont, C. Baccigalupi, A.J. Banday, R.B. Barreiro, E. Battaner, K. Benabed, A. Benoit-Lévy, J.-P. Bernard, M. Bersanelli, P. Bielewicz, A. Bonaldi, J.R. Bond, J. Borrill, F.R. Bouchet, C.S. Buemi, C. Burigana, J.-F. Cardoso, S. Casassus, A. Catalano, L. Cerrigone, A. Chamballu, H.C. Chiang, S. Colombi, L.P.L. Colombo, F. Couchot, B.P. Crill, A. Curto, F. Cuttaia, R.D. Davies, R.J. Davis, P. De Bernardis, A. De Rosa, G. De Zotti, J. Delabrouille, C. Dickinson, J.M. Diego, S. Donzelli, O. Doré, X. Dupac, T.A. Enßlin, H.K. Eriksen, F. Finelli, M. Frailis, E. Franceschi, S. Galeotta, K. Ganga, M. Giard, J. González-Nuevo, K.M. Górski, A. Gregorio, A. Gruppuso, F.K. Hansen, D.L. Harrison, S.R. Hildebrandt, E. Hivon, W.A. Holmes, J.L. Hora, A. Hornstrup, W. Hovest, K.M. Huffenberger, T.R. Jaffe, W.C. Jones, M. Juvela, E. Keihänen, R. Keskitalo, T.S. Kisner, J. Knoche, M. Kunz, H. Kurki-Suonio, A. Lähteenmäki, J.-M. Lamarre, A. Lasenby, C.R. Lawrence, R. Leonardi, P. Leto, P.B. Lilje, M. Linden-Vørnle, M. López-Caniego, J.F. Macías-Pérez, B. Maffei, D. Maino, N. Mandolesi, P.G. Martin, S. Masi, M. Massardi, S. Matarrese, P. Mazzotta, L. Mendes, A. Mennella, M. Migliaccio, M.-A. Miville-Deschênes, A. Moneti, L. Montier, G. Morgante, D. Mortlock, D. Munshi, J.A. Murphy, P. Naselsky, F. Nati, P. Natoli, F. Noviello, D. Novikov, I. Novikov, L. Pagano, F. Pajot, R. Paladini, D. Paoletti, M. Peel, O. Perdereau, F. Perrotta, F. Piacentini, M. Piat, D. Pietrobon, S. Plaszczynski, E. Pointecouteau, G. Polenta, L. Popa, G.W. Pratt, P. Procopio, S. Prunet, J.-L. Puget, J.P. Rachen, M. Reinecke, M. Remazeilles, S. Ricciardi, T. Riller, I. Ristorcelli, G. Rocha, C. Rosset, G. Roudier, J.A. Rubiño-Martín, B. Rusholme, M. Sandri, G. Savini, D. Scott, L.D. Spencer, V. Stolyarov, D. Sutton, A.-S. Suur-Uski, J.-F. Sygnet, J.A. Tauber, L. Terenzi, L. Toffolatti, M. Tomasi, C. Trigilio, M. Tristram, T. Trombetti, M. Tucci, G. Umana, J. Valiviita, B. Van Tent, P. Vielva, F. Villa, L.A. Wade, B.D. Wandelt, A. Zacchei, A. Zijlstra, A. Zonca, "Planck intermediate results XVIII the millimetre and sub-millimetre emission from planetary nebulae", Astronomy and Astrophysics, 2015, 573, doi: 10.1051/0004-6361/201423836

Jarrod R McClean, Alan Aspuru-Guzik, "Clock quantum Monte Carlo technique: An imaginary-time method for real-time quantum dynamics", Physical Review A, 2015, 91:012311,

Ryan Babbush, Jarrod McClean, Dave Wecker, Alan Aspuru-Guzik, Nathan Wiebe, "Chemical basis of Trotter-Suzuki errors in quantum chemistry simulation", Physical Review A, 2015, 91:022311,

Andrew Tranter, Sarah Sofia, Jake Seeley, Michael Kaicher, Jarrod McClean, Ryan Babbush, Peter V Coveney, Florian Mintert, Frank Wilhelm, Peter J Love, "The Bravyi--Kitaev transformation: Properties and applications", International Journal of Quantum Chemistry, 2015, 115:1431--1441,

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