Publications

B. Dong, A. Nayak, K. Wu, V. Tribaldos, J. Ajo-Franklin, Q. Zhang, S. Byna, F. Guo, P. Dobson, A. Sim, "TensorSearch: Parallel Similarity Search on Tensors", IEEE International Conference on Big Data (BigData), 2024,

V. Lakshminarayana, C. Oguchi, A. Sim, K. Wu, D. Ghosal, "A Study of a Deterministic Networking Framework for Latency Critical Large Scientific Data Transfers", 11th Annual International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2024), 2024,

Rajeev Jain, Houjun Tang, Akash Dhruv, Suren Byna, "Enabling Data Reduction for Flash-X Simulations", 10th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD), 2024,

M. Schreyer, T. Sattarov, A. Sim, K. Wu, "Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data", 5th ACM International Conference on AI in Finance (ICAIF'24), 2024, doi: 10.1145/3677052.3698659

D.K. Sung, Y. Son, A. Sim, K. Wu, S. Byna, H. Tang, H. Eom, C. Kim, S. Kim, "A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis", 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS2024), 2024,

Neeraj Rajesh, Keith Bateman, Jean Luca Bez, Suren Byna, Anthony Kougkas, Xian-He Sun, "TunIO: An AI-powered Framework for Optimizing HPC I/O", 38th IEEE International Parallel & Distributed Processing Symposium, San Fransicso, CA, US, May 27, 2024,

Hammad Ather, Jean Luca Bez, Yankun Xia, Suren Byna, "Drilling Down I/O Bottlenecks with Cross-layer I/O Profile Exploration", 38th IEEE International Parallel & Distributed Processing Symposium, San Francisco, CA, USA, May 27, 2024,

Bin Dong, Kesheng Wu, Suren Byna, "The Art of Sparsity: Mastering High-Dimensional Tensor Storage", 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 27, 2024,

• Download File: sci_data_sparse_update.pdf (pdf: 473 KB)

Wei Zhang, Houjun Tang, Suren Byna, "IDIOMS: Index-powered Distributed Object-centric Metadata Search for Scientific Data Management", The 24th IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing. Philadelphia, 2024 (CCGrid 2024), Philadelphia, PA, USA, IEEE, May 9, 2024, doi: 10.1109/CCGrid59990.2024.00072

• Download File: 956600a598.pdf (pdf: 782 KB)

L. Zhou, Q. Lin, K. Chowdhury, S. Masood, A. Eichenberger, H. Min, A. Sim, J. Wang, Y. Wang, K. Wu, B. Yuan, J. Zou, "Serving Deep Learning Model in Relational Databases", 27th International Conference on Extending Database Technology (EDBT2024), 2024,

C. M. Oguchi, D. Ghosal, A. Sim, K. Wu, "Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption", International Workshop on Big Data Analytics for Sustainability (BDA4S), 2023,

A. Sim, E. Kissel, D. Hazen, C. Guok, "Experiences in deploying in-network data caches", 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP2023), 2023, doi: 10.1051/epjconf/202429507018

J. Bellavita, C. Sim, K. Wu, A. Sim, S. Yoo, H. Ito, V. Garonne, E. Lancon, "Understanding Data Access Patterns for dCache System", 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP2023), 2023, doi: 10.1051/epjconf/202429501053

C. Sim, K. Wu, A. Sim, I. Monga, C. Guok, D. Hazen, F. Würthwein, D. Davila, H. Newman, J. Balcas, "Predicting Resource Utilization Trends with Southern California Petabyte Scale Cache", 26th International Conference on Computing in High Energy & Nuclear Physics (CHEP2023), 2023, doi: 10.1051/epjconf/202429501044

Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen, "PSQS: Parallel Semantic Querying Service for Self-describing File Formats", 2023 IEEE International Conference on Big Data (BigData), December 1, 2023, doi: 10.1109/BigData59044.2023.10386205

J. Gu, P. Lin, K. Wu, S-H. Ku, C.S. Chang, R.M. Churchill, J. Choi, N. Podhorszki, S. Klasky, "Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting", In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV'23), 2023,

Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukić, Franck Cappello, James Ahrens, Dingwen Tao, "AMRIC: A novel in situ lossy compression framework for efficient I/O in adaptive mesh refinement applications", SC23: International Conference for High Performance Computing, Networking, Storage and Analysis, November 12, 2023, doi: 10.1145/3581784.3613212

GM Wallace, Z Bai, N Bertelli, EW Bethel, T Perciano, S Shiraiwa, JC Wright, "Towards Fast, Accurate Predictions of RF Simulations via Data-driven Modeling: Forward and Lateral Models", Conference, AIP Publishing, August 1, 2023, 2984, doi: https://doi.org/10.1063/5.0162422

Sachin Kadam, Anna Scaglione, Nikhil Ravi, Sean Peisert, Brent Lunghino, Aram Shumavon, "Optimum Noise Mechanism for Differentially Private Queries in Discrete Finite Sets", Proceedings of the 2023 IEEE International Conference on Smart Applications, Communications and Networking (SmartNets), Istanbul, Turkey, July 25, 2023,

Z. Deng, A. Sim, K. Wu, C. Guok, I. Monga, F. Andrijauskas, F. Wuerthwein, D. Weitzel, "Analyzing Transatlantic Network Traffic Patterns with Scientific Data Caches", 6th ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA 2023), 2023, doi: 10.1145/3589012.3594897

Bin Dong, Jean Luca Bez, Suren Byna, "AIIO: Using Artificial Intelligence for Job-Level and Automatic I/O Performance Bottleneck Diagnosis.", In Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing (HPDC ’23), June 16, 2023,

• Download File: IODiagnose-final.pdf (pdf: 1.9 MB)

Hammad Ather, Jean Luca Bez, Boyana Norris, Suren Byna, "Illuminating the I/O Optimization Path of Scientific Applications", High Performance Computing: 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21–25, 2023, Proceedings, Hamburg, Germany, Springer-Verlag, May 21, 2023, 22–41, doi: https://doi.org/10.1007/978-3-031-32041-5_2

Md Kamal Hossain Chowdhury, Houjun Tang, Jean Luca Bez, Purushotham V. Bangalore, Suren Byna, "Efficient Asynchronous I/O with Request Merging", 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), St. Petersburg, FL, USA, IEEE, 2023, 628-636, doi: 10.1109/IPDPSW59300.2023.00107

John Ravi, Suren Byna, Quincey Koziol, Houjun Tang, Michela Becchi, "Evaluating Asynchronous Parallel I/O on HPC Systems", 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 15, 2023, doi: 10.1109/IPDPS54959.2023.00030

Hammad Ather, Jean Luca Bez, Boyana Norris, Suren Byna, "Illuminating the I/O Optimization Path of Scientific Applications", International Conference on High Performance Computing (ISC'23), Springer Nature Switzerland, May 10, 2023, 22-41, doi: https://doi.org/10.1007/978-3-031-32041-5_2

C. Sim, K. Wu, A. Sim, I. Monga, C. Guok, F. Wurthwein, D. Davila, H. Newman, J. Balcas, "Effectiveness and predictability of in-network storage cache for Scientific Workflows", International Conference on Computing, Networking and Communication (ICNC 2023), 2023, doi: 10.1109/ICNC57223.2023.10074058

Jean Luca Bez, Hammad Ather, Suren Byna, "Drishti: Guiding End-Users in the I/O Optimization Journey", PDSW 2022, held in conjunction with SC22, 2022,

Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello, "Accelerating parallel write via deeply integrating predictive lossy compression with HDF5", SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, November 13, 2022, doi: 10.1109/SC41404.2022.00066

Rajeev Jain, Houjun Tang, Akash Dhruv, J Austin Harris, Suren Byna, "Accelerating flash-x simulations with asynchronous I/O", https://ieeexplore.ieee.org/abstract/document/10026923/, November 13, 2022, doi: 10.1109/PDSW56643.2022.00008

Ayaz Akram, Venkatesh Akella, Sean Peisert, Jason Lowe-Power, "SoK: Limitations of Confidential Computing via TEEs for High-Performance Compute Systems", Proceedings of the 2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED), September 2022,

Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen, "Kv2vec: A Distributed Representation Method for Key-value Pairs from Metadata Attributes", 2022 IEEE Conference on High Performance Extreme Computing (HPEC), September 19, 2022, doi: 10.1109/HPEC55821.2022.9926389

Yize Chen, Yuanyuan Shi, Daniel Arnold, Sean Peisert, "SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation", Proceedings of the 2022 IEEE Power Engineering Society (PES) General Meeting, Denver, CO, July 2022,

R. Shao, J. Kim A. Sim, K. Wu, "Predicting Slow Connections in Scientific Computing", 5th ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA) 2022, in conjunction with The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2022, doi: 10.1145/3526064.3534112

J. Bellavita, A. Sim, K. Wu, I. Monga, C. Guok, F. Würthwein, D. Davila, "Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches", 5th ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA) 2022, in conjunction with The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2022, doi: 10.1145/3526064.3534111

R. Han, A. Sim, K. Wu, I. Monga, C. Guok, F. Würthwein, D. Davila, J. Balcas, H. Newman, "Access Trends of In-network Cache for Scientific Data", 5th ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA), in conjunction with The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2022, doi: 10.1145/3526064.3534110

J. Kim, M. Cafaro, J. Chou, A. Sim, "SNTA’22: The 5th Workshop on Systems and Network Telemetry and Analytics", In the proceedings of The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'22), 2022, doi: 10.1145/3502181.3535108

Jean Luca Bez, Ahmad Maroof Karimi, Arnab K. Paul, Bing Xie, Suren Byna, Philip Carns, Sarp Oral, Feiyi Wang, Jesse Hanley, "Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load", 31st International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC '22), Association for Computing Machinery, June 27, 2022, 43–55, doi: 10.1145/3502181.3531461

Runzhou Han, Suren Byna, Houjun Tang, Bin Dong, and Mai Zheng,, "PROV-IO: An I/O-Centric Provenance Framework for Scientific Data on HPC Systems", HPDC 2022, June 23, 2022,

Daniel Arnold, Sy-Toan Ngo, Ciaran Roberts, Yize Chen, Anna Scaglione, Sean Peisert, "Adam-based Augmented Random Search for Control Policies for Distributed Energy Resource Cyber Attack Mitigation", Proceedings of the 2022 American Control Conference (ACC), June 2022,

Huihuo Zheng, Venkatram Vishwanath, Quincey Koziol, Houjun Tang, John Ravi, John Mainzer, Suren Byna, "HDF5 Cache VOL: Efficient and scalable parallel I/O through caching data on node-local storage", 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), May 16, 2022, doi: 10.1109/CCGrid54584.2022.00015

K. Wang, S. Lee, J. Balewski, A. Sim, P. Nugent, A. Agrawal, A. Choudhary, K. Wu, W-K. Liao, "Using Multi-resolution Data to Accelerate Neural Network Training in Scientific Applications", 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022), 2022, doi: 10.1109/CCGrid54584.2022.00050

J. Bang, C. Kim, K. Wu, A. Sim, S. Byna, H. Sung, H. Eom, "An In-Depth I/O Pattern Analysis in HPC Systems", IEEE International Conference on High Performance Computing, Data & Analytics (HiPC2021), 2021, doi: 10.1109/HiPC53243.2021.00056

S. Lee, Q. Kang, K. Wang, J. Balewski, A. Sim, A. Agrawal, A. Choudhary, P. Nugent, K. Wu, W-K. Liao, "Asynchronous I/O Strategy for Large-Scale Deep Learning Applications", IEEE International Conference on High Performance Computing, Data & Analytics (HiPC2021), 2021, doi: 10.1109/HiPC53243.2021.00046

A. Lazar, L. Jin, C. Brown, C. A. Spurlock, A. Sim, K. Wu, "Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions", the 3rd International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD 2021), 2021, doi: 10.1109/BigData52589.2021.9671286

James R. Clavin, Yue Huang, Xin Wang, Pradeep M. Prakash, Sisi Duan, Jianwu Wang, Sean Peisert, "A Framework for Evaluating BFT", Proceedings of the IEEE International Conference on Parallel and Distributed Systems (ICPADS), IEEE, December 2021,

Houjun Tang, Bing Xie, Suren Byna, Phillip Carns, Quincey Koziol, Sudarsun Kannan, Jay Lofstead, and Sarp Oral,, "SCTuner: An Auto-tuner Addressing Dynamic I/O Needs on Supercomputer I/O Sub-systems", 6th International Parallel Data Systems Workshop (PDSW) 2021, held in conjunction with SC21, November 21, 2021,

Cong Xu, Suparna Bhattacharya, Martin Foltin, Suren Byna, and Paolo Faraboschi, "Data-Aware Storage Tiering for Deep Learning", 6th International Parallel Data Systems Workshop (PDSW) 2021, held in conjunction with SC21, November 21, 2021,

Wei Zhang, Suren Byna, Hyogi Sim, Sangkeun Lee, Sudharshan Vazhkudai, and Yong Chen,, "Exploiting User Activeness for Data Retention in HPC Systems", International Conference for High Performance Computing, Networking, Storage and Analysis (SC '21), November 21, 2021, doi: https://doi.org/10.1145/3458817.3476201

• Download File: 3458817.3476201-2.pdf (pdf: 1.5 MB)

Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl, "Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2", Smoky Mountains Computational Sciences and Engineering Conference (SMC2021), 2021,

Devarshi Ghoshal, Ludovico Bianchi, Abdelilah Essiari, Drew Paine, Sarah Poon, Michael Beach, Alpha N'Diaye, Patrick Huck, Lavanya Ramakrishnan, "Science Capsule: Towards Sharing and Reproducibility of Scientific Workflows", 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), November 15, 2021, doi: 10.1109/WORKS54523.2021.00014

V. Dumont, C. Garner, A. Trivedi, C. Jones, V. Ganapati, J. Mueller, T. Perciano, M. Kiran, and M. Day, "HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization", 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC), November 15, 2021,

M Kiran, B Mohammed, Q Du, D Wang, S Shen, R Wilcox, "Controlling Laser Beam Combining via an Active Reinforcement Learning Algorithm", Advanced Solid State Lasers 2021, Washington, DC United States, October 4, 2021,

Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, and Dingwen Tao,, "Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights", IEEE Cluster 2021, September 1, 2021,

Meriam Gay Bautista, Zhi Jackie Yao, Anastasiia Butko, Mariam Kiran, Mekena Metcalf, "Towards Automated Superconducting Circuit Calibration using Deep Reinforcement Learning", 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Tampa, FL, USA, IEEE, August 23, 2021, pp. 462-46, doi: 10.1109/ISVLSI51109.2021.00091

Devarshi Ghoshal, Drew Paine, Gilberto Pastorello, Abdelrahman Elbashandy, Dan Gunter, Oluwamayowa Amusat, Lavanya Ramakrishnan, "Experiences with Reproducibility: Case Studies from Scientific Workflows", (P-RECS'21) Proceedings of the 4th International Workshop on Practical Reproducible Evaluation of Computer Systems, ACM, June 21, 2021, doi: 10.1145/3456287.3465478

E. Copps, H. Zhang, A. Sim, K. Wu, I. Monga, C. Guok, F. Würthwein, D. Davila, E. Fajardo, "Analyzing scientific data sharing patterns with in-network data caching", 4th ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA 2021), 2021, doi: 10.1145/3452411.3464441

Y. Wang, K. Wu, A. Sim, S. Yoo, S. Misawa, "Access Patterns of Disk Cache for Large Scientific Archive", 4th ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA 2021), 2021, doi: 10.1145/3452411.3464444

A. Lazar, A. Sim, K. Wu, "GPU-based Classification for Wireless Intrusion Detection", 4th ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA 2021), 2021, doi: 10.1145/3452411.3464445

Ayaz Akram, Venkatesh Akella, Sean Peisert, Jason Lowe-Power,, "Enabling Design Space Exploration for RISC-V Secure Compute Environments", Proceedings of the Fifth Workshop on Computer Architecture Research with RISC-V (CARRV), (co-located with ISCA 2021), June 17, 2021,

E. W. Bethel, C. Heinemann, and T. Perciano, "Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel", Eurographics Symposium on Parallel Graphics and Visualization, June 14, 2021,

Bing Xie, Houjun Tang, Suren Byna, Jesse Hanley, Quincey Koziol, Tonglin Li, Sarp Oral,, "Battle of the Defaults: Extracting Performance Characteristics of HDF5 under Production Load", CCGrid 2021, May 31, 2021,

Ciaran Roberts, Sy-Toan Ngo, Alexandre Milesi, Anna Scaglione, Sean Peisert, Daniel Arnold, "Deep Reinforcement Learning for Mitigating Cyber-Physical DER Voltage Unbalance Attacks”", Proceedings of the 2021 American Control Conference (ACC), May 2021, doi: 10.23919/ACC50511.2021.9482815

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert, "Performance Analysis of Scientific Computing Workloads on General Purpose TEEs", Proceedings of the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS), IEEE, May 2021, doi: 10.1109/IPDPS49936.2021.00115

Y. Ma, F. Ruso, A. Sim, K. Wu, "Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures", Heterogeneity in Computing Workshop (HCW 2021), in conjunction with the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2021, doi: 10.1109/IPDPSW52791.2021.00012

Tonglin Li, Suren Byna, Quincey Koziol, Houjun Tang, Jean Luca Bez, Qiao Kang, "h5bench: HDF5 I/O Kernel Suite for Exercising HPC I/O Patterns", Cray User Group (CUG) 2021, January 1, 2021,

Jean Luca Bez, Houjun Tang, Bing Xie, David Williams-Young, Rob Latham, Rob Ross, Sarp Oral, Suren Byna, "I/O Bottleneck Detection and Tuning: Connecting the Dots using Interactive Log Analysis", 2021 IEEE/ACM Sixth International Parallel Data Systems Workshop (PDSW), January 1, 2021, 15-22, doi: 10.1109/PDSW54622.2021.00008

B. Weinger, J. Kim, A. Sim, M. Nakashima, N. Moustafa, K. Wu, "Enhancing IoT Anomaly Detection Performance for Federated Learning", The 16th IEEE International Conference on Mobility, Sensing and Networking (IEEE MSN 2020), 2020, doi: 10.1109/MSN50589.2020.00045

B. Cho, T. Dayrit, Y. Gao, Z. Wang, T. Hong, A. Sim, K. Wu, "Effective Missing Value Imputation Methods for Building Monitoring Data", The 2nd International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD 2020) in conjunction with IEEE International Conference on Big Data (IEEE BigData 2020), 2020, doi: 10.1109/BigData50022.2020.9378230

V. Dumont, V. Rodriguez Tribaldos, J. Ajo-Franklin, K. Wu, "Deep Learning for Surface Wave Identification in Distributed Acoustic Sensing Data", IEEE BigData 2020, December 8, 2020,

J. Kim, A. Sim, J. Kim, K. Wu, "Botnets Detection Using Recurrent Variational Autoencoder", IEEE Global Communications Conference (Globecom 2020), 2020, doi: 10.1109/GLOBECOM42002.2020.9348169

Bashir Mohammed, Mariam Kiran, Dan Wang, Qiang Du, Russell Wilcox, "Deep Reinforcement Learning based Control for two-dimensional Coherent Combining", Laser Applications Conference, pp. JTu5A-7. Optical Society of America, 2020., OSA Publishing, December 1, 2020,

Dan Wang, Qiang Du, Tong Zhou, Bashir Mohammed, Mariam Kiran, Derun Li, Russell Wilcox, "Artificial Neural Networks Applied to Stabilization of 81-beam Coherent Combining", Advanced Solid State Lasers, Optical Society of America, December 1, 2020,

Divneet Kaur, Bashir Mohammed, Mariam Kiran, "NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds", December 1, 2020,

B. Enders, D. Bard, C. Snavely, L. Gerhardt, J. Lee, B. Totzke, K. Antypas, S. Byna, R. Cheema, S. Cholia, M. Day, A. Gaur, A. Greiner, T. Groves, M. Kiran, Q. Koziol, K. Rowland, C. Samuel, A. Selvarajan, A. Sim, D. Skinner, R. Thomas, G. Torok, "Cross-facility science with the Superfacility Project at LBNL", 2nd Workshop on Large-scale Experiment-in-the-Loop Computing (XLOOP 2020), in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 20), 2020, doi: 10.1109/XLOOP51963.2020.00006

Ignacio Losada Carreño, Raksha Ramakrishna, Anna Scaglione, Daniel Arnold, Ciaran Roberts, Sy-Toan Ngo, Sean Peisert, David Pinney, "SODA: An Irradiance-Based Tool to Generate Sub-Minute Solar Power Stochastic Time Series", Proceedings of the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), IEEE, November 2020,

Ciaran Roberts Sy-Toan Ngo, Alexandre Milesi, Sean Peisert, Daniel Arnold, Shammya Saha, Anna Scaglione, Nathan Johnson, Anton Kocheturov, Dmitriy Fradkin, "Deep Reinforcement Learning for DER Cyber-Attack Mitigation", Proceedings of the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), IEEE, November 2020,

N Krishnaswamy; M Kiran; B Mohammed; Singh Kunal, "Data-driven Learning to Predict WAN Network Traffic.", SNTA '20: Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, November 3, 2020, 11-18, doi: 10.1145/3391812.3396268

T Mallick, M Kiran, B Mohammed, Prasanna Balaprakash, "Dynamic Graph Neural Network for Traffic Forecasting in Wide Area Networks.", Machine Learning Big Data 2020, IEEE, November 2, 2020, 1-10, doi: 10.1109/BigData50022.2020.9512748

M Hocine, M Kiran, A Mercian, and B Mohammed, "Using Machine Learning for Intent-based provisioning in High-Speed Science Networks.", SNTA '20: Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, November 2, 2020, 27-30, doi: 10.1145/3391812.3396269

V. Dumont, V. Rodriguez Tribaldos, J. Ajo-Franklin, K. Wu, "Deep Learning on Real Geophysical Data: A Case Study for Distributed Acoustic Sensing Research", NeurIPS "Machine Learning and the Physical Sciences" workshop, 2020,

Bin Dong, Ver\ onica Rodr\ \iguez Tribaldos, Xin Xing, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu, "DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection", 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), July 14, 2020, 254--263,

• Download File: paper.pdf (pdf: 3.9 MB)

Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom, "Towards hpc i/o performance prediction through large-scale log analysis", Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020), 2020, 77--88, doi: 10.1145/3369583.3392678

Gaurav R Ghosal, Dipak Ghosal, Alex Sim, Aditya V Thakur, Kesheng Wu, "A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers", Proceedings of International Federation for Information Processing (IFIP) Networking Conference (NETWORKING 2020), 2020, 253--261,

Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, Hyeonsang Eom, "HPC Workload Characterization Using Feature Selection and Clustering", ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA 2020), in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020), 2020, 33--40, doi: 10.1145/3391812.3396270

Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm, "Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder", ACM International Workshop on ​System and Network Telemetry and Analysis (SNTA 2020), in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2020), 2020, 41--47, doi: 10.1145/3391812.3396273

M. Nakashima, A. Sim, J. Kim, "Evaluation of Deep Learning Models for Network PerformancePrediction for Scientific Facilities", the 3rd ACM International Workshop on System and Network Telemetry and Analysis (SNTA) 2020, in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020, doi: 10.1145/3391812.3396272

S. Bhandari, A. K. Kukreja, A. Lazar, A. Sim, K. Wu, "Feature Selection and Tree-based Classification for Wireless Intrusion Detection", the 3rd ACM International Workshop on System and Network Telemetry and Analysis (SNTA) 2020, in conjunction with The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020, doi: 10.1145/3391812.3396274

Houjun Tang, Suren Byna, Bin Dong, Quincey Koziol, "Parallel Query Service for Object-centric Data Management Systems", 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, May 18, 2020, 406-415,

Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok Choudhary, Kesheng Wu, "Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow", 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020), 2020, 619--628, doi: 10.1109/CCGrid49817.2020.00-31

H. Sung, J. Bang, C. Kim, H. Kim, A. Sim, G. K. Lockwood, H. Eom, "BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription", the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020), 2020, doi: 10.1109/CCGrid49817.2020.00-79

Christine T. Wolf, Drew Paine, "Sensemaking Practices in the Everyday Work of AI/ML Software Engineering", IEEE/ACM 42nd International Conference on Software Engineering Workshops (ICSEW’20), ACM, April 5, 2020, doi: 10.1145/3387940.3391496

Ross Gegan, Christina Mao, Dipak Ghosal, Matt Bishop, Sean Peisert, "Anomaly Detection for Science DMZ Using System Performance Data", Proceedings of the 2020 IEEE International Conference on Computing, Networking and Communications (ICNC 2020), Big Island, HI, February 2020, doi: 10.1109/ICNC47757.2020.9049695

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,

Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque, Talita Perciano, Dilworth Parkinson, "Sparse Matrix-Based HPC Tomography", Computational Science -- ICCS 2020, Cham, Springer International Publishing, 2020, 248--261, doi: 10.1007/978-3-030-50371-0_18

E. Wes Bethel, David Camp, Talita Perciano, Colleen Heinemann, "Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels", Berkeley, CA, USA, 94720, 2020,

Petar Hristov, Gunther H. Weber, Hamish A. Carr, Oliver R\ ubel, James P. Ahrens, "Data Parallel Hypersweeps for In Situ Topological Analysis", Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization (LDAV), 2020, 12--21, doi: 10.1109/LDAV51489.2020.00008

Richard Warren, Jerome Soumagne, Jingqing Mu, Houjun Tang, Suren Byna, Bin Dong, Quincey Koziol, "Analysis in the Data Path of an Object-centric Data Management System", 26th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2019), December 18, 2019,

Houjun Tang, Suren Byna, Stephen Bailey, Zarija Lukic, Jialin Liu, Quincey Koziol, Bin Dong, "Tuning Object-centric Data Management Systems for Large Scale Scientific Applications", 26th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2019), December 18, 2019,

Wei Zhang, Suren Byna, Chenxu Niu, Yong Chen, "Exploring Metadata Search Essentials for Scientific Data Management", 26th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2019), December 17, 2019,

A. Lazar, A. Ballow, L. Jin, C. A. Spurlock, A. Sim, K. Wu, "Machine Learning for Prediction of Mid to LongTerm Habitual Transportation Mode Use", International Workshop on Big Data Tools, Methods, and Use Cases for Innovative Scientific Discovery (BTSD), in conjunction with the IEEE International Conference on Big Data (Big Data), 2019, doi: 10.1109/BigData47090.2019.9006411

Amir Teshome Wonjiga, Louis Rilling, Christine Morin, Sean Peisert, "Blockchain as a Trusted Component in Cloud SLA Verification", Proceedings of the International Workshop on Cloud, IoT and Fog Security (CIFS), co-located with the 12th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), Auckland, New Zealand, December 2019, 93-100, doi: 10.1145/3368235.3368872

Tirthak Patel, Suren Byna, Glenn K. Lockwood, Devesh Tiwari, "Revisiting I/O Behavior in Large-Scale Storage Systems: The Expected and the Unexpected", Supercomputing 2019 (SC19), November 24, 2019, doi: 10.1145/3295500.3356183

Junmin Gu, Burlen Loring, Kesheng Wu, E. Wes Bethel, "HDF5 as a vehicle for in transit data movement", The Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV'19), 2019, doi: 10.1145/3364228.3364237

Wei Zhang, Suren Byna, Houjun Tang, Brody Williams, Yong Chen, "MIQS: Metadata Indexing and erying Service for Self-Describing File Formats", The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC19), November 19, 2019,

• Download File: 3295500.3356146.pdf (pdf: 1 MB)

Houjun Tang, Quincey Koziol, Suren Byna, John Mainzer, Tonglin Li, "Enabling Transparent Asynchronous I/O using Background Threads", 2019 IEEE/ACM Fourth International Parallel Data Systems Workshop (PDSW 2019), November 19, 2019, doi: DOI 10.1109/PDSW49588.2019.00006

Megha Agarwal, Divyansh Singhvi, Preeti Malakar, Suren Byna, "Active Learning-based Automatic Tuning and Prediction of Parallel I/O Performance", 2019 IEEE/ACM Fourth International Parallel Data Systems Workshop (PDSW), November 19, 2019, doi: DOI 10.1109/PDSW49588.2019.00007

Glenn K. Lockwood, Shane Snyder, Suren Byna, Philip Carns, Nicholas J. Wright, "Understanding Data Motion in the Modern HPC Data Center", 2019 IEEE/ACM Fourth International Parallel Data Systems Workshop (PDSW), November 19, 2019, doi: DOI 10.1109/PDSW49588.2019.00012

B Mohammed, M Kiran, N Krishnaswamy, "DeepRoute on Chameleon: Experimenting with Large-scale Reinforcement Learning and SDN on Chameleon Testbed", IEEE 27th International Conference on Network Protocols (ICNP), IEEE, November 14, 2019, 1-2, doi: 10.1109/ICNP.2019.8888090

George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, "Training Classifiers to Identify TCP Signatures in Scientific Workflows", INDIS, SC19, November 14, 2019,

Christine T. Wolf, Julia Bullard, Stacy Wood, Amelia Acker, Drew Paine, Charlotte P. Lee, "Mapping the “How” of Collaborative Action: Research Methods for Studying Contemporary Sociotechnical Processes", CSCW '19: Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing, November 10, 2019, doi: 10.1145/3311957.3359441

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, doi: 10.1109/eScience.2019.00028

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, doi: 10.1109/eScience.2019.00095

B Mohammed, N Krishnaswamy, M Kiran, "Multivariate Time-Series Prediction for Traffic in Large WAN Topology", ACM/IEEE Symposium on Architectures for Networking and Communications, August 1, 2019, doi: 10.1109/ANCS.2019.8901870

Andrew Adams, Kay Avila, Jim Basney, Dana Brunson, Robert Cowles, Jeannette Dopheide, Terry Fleury, Elisa Heymann, Florence Hudson, Craig Jackson, Ryan Kiser, Mark Krenz, Jim Marsteller, Barton P. Miller, Sean Peisert, Scott Russell, Susan Sons, Von Welch, John Zage, "Trusted CI Experiences in Cybersecurity and Service to Open Science", Proceedings of the Conference on Practice and Experience in Advanced Research Computing (PEARC), ACM, July 2019, doi: 10.1145/3332186.3340601

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, doi: 10.1109/CCGRID.2019.00049

Teng Wang, Suren Byna, Glenn Lockwood, Philip Carns, Shane Snyder, Sunggon Kim, Nicholas Wright, "A Zoom-in Analysis of I/O Logs to Detect Root Causes of I/O Performance Bottlenecks", IEEE/ACM CCGrid 2019, May 14, 2019,

Tonglin Li, Quincey Koziol, Houjun Tang, Jialin Liu, Suren Byna, "I/O Performance Analysis of Science Applications Using HDF5 File-level Provenance", Cray User Group (CUG) 2019, May 10, 2019,

Jingqing Mu, Jerome Soumagne, Suren Byna, Quincey Koziol, Houjun Tang, Richard Warren, "Interfacing HDF5 with A Scalable Object-centric Storage System on Hierarchical Storage", Cray User Group (CUG) 2019, May 7, 2019,

Drew Paine, Lavanya Ramakrishnan, "Surfacing Data Change in Scientific Work", iConference 2019, Springer Verlag, March 19, 2019, 15-26, doi: 10.1007/978-3-030-15742-5_2

Payton A Linton, William M Melodia, Alina Lazar, Deborah Agarwal, Ludovico Bianchi, Devarshi Ghoshal, Kesheng Wu, Gilberto Pastorello, Lavanya Ramakrishnan, "Identifying Time Series Similarity in Large-Scale Earth System Datasets", 2019,

Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang, "SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis", International Conference on High Performance Computing, January 1, 2019, 61--80,

• Download File: slope-cr.pdf (pdf: 623 KB)

Bin Dong, Patrick Kilian, Xiaocan Li, Fan Guo, Suren Byna, Kesheng Wu, "Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study", Proceedings of the 31st International Conference on Scientific and Statistical Database Management, January 1, 2019, 202--205,

• Download File: VPIC-SSDBM-Camera-ready.pdf (pdf: 271 KB)

Junmin Gu, Burlen Loring, Kesheng Wu, E Wes Bethel, "HDF5 as a vehicle for in transit data movement", Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2019, 39--43,

Sambit Shukla, Dipak Ghosal, Kesheng Wu, Alex Sim, Matthew Farrens, "Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters", 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC), 2019, 121--128,

Hanul Sung, Jiwoo Bang, Alexander Sim, Kesheng Wu, Hyeonsang Eom, "Understanding Parallel I/O Performance Trends Under Various HPC Configurations", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 29--36,

Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu, "Performance prediction for data transfers in LCLS workflow", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 37--44,

Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu, "Similarity-based Compression with Multidimensional Pattern Matching", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 19--24,

Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu, "Automatic detection of network traffic anomalies and changes", Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019, 3--10,

Dipak Ghosal, Sambit Shukla, Alex Sim, Aditya V Thakur, Kesheng Wu, "A Reinforcement Learning Based Network Scheduler For Deadline-Driven Data Transfers", 2019 IEEE Global Communications Conference (GLOBECOM), 2019, 1--6,

Qiao Kang, Ankit Agrawal, Alok Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H Beckman, Zhengchun Liu, Wei-keng Liao, "Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems", 2019 IEEE International Conference on Big Data (Big Data), 2019, 4381--4389,

Jongbeen Han, Heemin Kim, Hyeonsang Eom, Jonathan Coignard, Kesheng Wu, Yongseok Son, "Enabling SQL-Query Processing for Ethereum-based Blockchain Systems", Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, 2019, 1--7,

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

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,

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,

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

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

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,

• Download File: 3243176.3243207.pdf (pdf: 1.1 MB)

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

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

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

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

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

J. Kim, J. Choi, A. Sim, "Spatio-temporal Analysis of HPC I/O and Connection Data", International Workshop on Scalable Network Traffic Analytics (SNTA 2018), 2018, in conjunction with the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), 2018, doi: 10.1109/icdcs.2018.00176

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna YQ Ho, Peter Nugent, "Distributed Caching for Complex Querying of Raw Arrays", SSDBM, 2018,

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

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

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

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

Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, M Prabhat, Kesheng Wu, Paul Brown, "ArrayBridge: Interweaving declarative array processing in SciDB with imperative HDF5-based programs", 2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, 977--988,

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

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,

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

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

Gunther H. Weber, Colin Ophus, Lavanya Ramakrishnan, "Automated Labeling of Electron Microscopy Images Using Deep Learning", Proc. IEEE/ACM Machine Learning in HPC Environments (MLHPC), 2018, 26--36, doi: 10.1109/MLHPC.2018.8638633

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

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,

Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, Suren Byna, "ARCHIE: Data analysis acceleration with array caching in hierarchical storage", 2018 IEEE International Conference on Big Data (Big Data), January 1, 2018, 211--220,

• Download File: DataElevator-ARCHIE.pdf (pdf: 613 KB)

Kesheng Wu, Bin Dong, Surendra Byna, "Scientific Data Services Framework for Plasma Physics", APS, 2018, 2018:BM10--006,

Junmin Gu, Scott Klasky, Norbert Podhorszki, Ji Qiang, Kesheng Wu, "Querying large scientific data sets with adaptable IO system ADIOS", Asian Conference on Supercomputing Frontiers, 2018, 51--69,

Cecilia Dao, Xinyu Liu, Alex Sim, Craig Tull, Kesheng Wu, "Modeling data transfers: change point and anomaly detection", 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), 2018, 1589--1594,

Rajkumar Kettimuthu, Zhengchun Liu, Ian Foster, Peter H Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok Choudhary, "Towards autonomic science infrastructure: architecture, limitations, and open issues", Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018, 1--9,

Mengying Yang, Xinyu Liu, Wilko Kroeger, Alex Sim, Kesheng Wu, "Identifying anomalous file transfer events in LCLS workflow", Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018, 1--4,

Sowmya Balasubramanian, Dipak Ghosal, Kamala Narayanan Balasubramanian Sharath, Eric Pouyoul, Alex Sim, Kesheng Wu, Brian Tierney, "Auto-tuned publisher in a pub/sub system: Design and performance evaluation", 2018 IEEE International Conference on Autonomic Computing (ICAC), 2018, 21--30,

Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo, "Feature Engineering and Classification Models for Partial Discharge in Power Transformers", Mij, 2018, 1001:60,

Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger, "Detecting Anomalies in the LCLS Workflow", 2018 IEEE International Conference on Big Data (Big Data), 2018, 3256--3260,

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna YQ Ho, Peter Nugent, "Distributed caching for processing raw arrays", Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018, 1--12,

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), January 1, 2018, 37--46,

• Download File: arrayudf-das.pdf (pdf: 2.7 MB)

Hongyuan Zhan, Gabriel Gomes, Xiaoye S Li, Kamesh Madduri, Kesheng Wu, "Efficient online hyperparameter learning for traffic flow prediction", 2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, 164--169,

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

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

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

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

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,

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

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,

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

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

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,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu, "ArrayUDF: User-defined scientific data analysis on arrays", Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, January 1, 2017, 53--64,

• Download File: hpdc02.pdf (pdf: 921 KB)

Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C Anna Spurlock, Annika Todd, "Comparison of clustering techniques for residential energy behavior using smart meter data", 2017,

Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu, "Parallel variable selection for effective performance prediction", 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, 208--217,

Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu, "Improving statistical similarity based data reduction for non-stationary data", Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017, 1--6,

Kesheng Wu, Dongeun Lee, Alex Sim, Jaesik Choi, "Statistical data reduction for streaming data", 2017 New York Scientific Data Summit (NYSDS), 2017, 1--6,

Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo, "Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data", 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress (DASC/PiCom/DataCom/CyberSciTech, 2017, 941--948,

Alina Lazar, Ling Jin, C Anna Spurlock, Kesheng Wu, Alex Sim, "Data quality challenges with missing values and mixed types in joint sequence analysis", 2017 IEEE International Conference on Big Data (Big Data), 2017, 2620--2627,

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent, "Incremental view maintenance over array data", Proceedings of the 2017 ACM International Conference on Management of Data, January 1, 2017, 139--154,

Tzuhsien Wu, Jerry Chou, Shyng Hao, Bin Dong, Scott Klasky, Kesheng Wu, "Optimizing the query performance of block index through data analysis and I/O modeling", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, January 1, 2017, 1--10,

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

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, 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

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

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,

E. Wes Bethel, Martin Greenwald, Kerstin Kleese Dam, Manish Parashar, Stefan M. Wild, H. Steven Wiley, "2016 IEEE 12th International Conference on e-Science", 2016 IEEE 12th International Conference on e-Science, Baltimore, MD, USA, 2016, 213--222,

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,

Bin Dong, Surendra Byna, Kesheng Wu, "SDS-Sort: Scalable Dynamic Skew-aware Parallel", HPDC 16, New York, NY, USA, ACM, 2016, 57--68, doi: 10.1145/2907294.2907300

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

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

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

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

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

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

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", 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 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", 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), January 1, 2016, 116--125,

Bin Dong, Surendra Byna, Kesheng Wu, "Sds-sort: Scalable dynamic skew-aware parallel sorting", Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, January 1, 2016, 57--68,

• Download File: SDS-Sort.pdf (pdf: 450 KB)

Xiaocheng Zou, David A Boyuka II, Dhara Desai, Daniel F Martin, Suren Byna, Kesheng Wu, "AMR-aware in situ indexing and scalable querying", Proceedings of the 24th High Performance Computing Symposium, January 1, 2016, 26,

Bin Dong, Suren Byna, Kesheng Wu, Hans Johansen, Jeffrey N Johnson, Noel Keen, others, "Data elevator: Low-contention data movement in hierarchical storage system", 2016 IEEE 23rd international conference on high performance computing (HiPC), January 1, 2016, 152--161,

• Download File: 201612-DataElevator-HiPC2016-Bin-Byna.pdf (pdf: 765 KB)

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), January 1, 2016, 406--415,

Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F Mart\ \in, 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), January 1, 2016, 1359--1366,

David Pugmire, James Kress, Jong Choi, Scott Klasky, Tahsin Kurc, Randy Michael Churchill, Matthew Wolf, Greg Eisenhower, Hank Childs, Kesheng Wu, others, "Visualization and analysis for near-real-time decision making in distributed workflows", 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016, 1007--1013,

Utkarsh Ayachit, Andrew Bauer, Earl PN Duque, Greg Eisenhauer, Nicola Ferrier, Junmin Gu, Kenneth E Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, others, "Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures", SC 16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2016, 921--932, LBNL 1007264,

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), 2016, 1007--1013, doi: 10.1109/IPDPSW.2016.175

Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu, "Novel data reduction based on statistical similarity", Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016, 1--12,

Wucherl Yoo, Alex Sim, Kesheng Wu, "Machine learning based job status prediction in scientific clusters", 2016 SAI Computing Conference (SAI), 2016, 44--53,

Tzuhsien Wu, Hao Shyng, Jerry Chou, Bin Dong, Kesheng Wu, "Indexing blocks to reduce space and time requirements for searching large data files", 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), January 1, 2016, 398--402,

Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, "Similarity Join over Array Data", SIGMOD, January 1, 2016, 2007--2022,

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

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

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

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

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

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

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

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

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,

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,

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,

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

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,

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

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,

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,

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,

W. Yoo, A. Sim, "Network Bandwidth Utilization Forecast Model on High Bandwidth Networks", IEEE International Conference on Computing, Networking and Communications (ICNC’15), 2015, doi: 10.1109/ICCNC.2015.7069393

C Daley, L Ramakrishnan, S Dosanjh, N Wright, "Analyses of Scientific Workflows for Effective Use of Future Architectures", The 6th International Workshop on Big Data Analytics: Challenges, and Opportunities (BDAC-15), 2015 at SC, 2015,

GP Rodrigo Álvarez, P-O Östberg, E Elmroth, K Antypas, R Gerber, L Ramakrishnan, "HPC System Lifetime Story: Workload Characterization and Evolutionary Analyses on NERSC Systems", Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015, 57--60,

H Sim, Y Kim, SS Vazhkudai, D Tiwari, A Anwar, AR Butt, L Ramakrishnan, ACM, "AnalyzeThis: An Analysis Workflow-Aware Storage System", PROCEEDINGS OF SC15: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS, 2015, doi: 10.1145/2807591.2807622

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

Bin Dong, Surendra Byna, Kesheng Wu, "Heavy-tailed distribution of parallel I/O system response time", Proceedings of the 10th Parallel Data Storage Workshop, 2015, 37--42,

Bin Dong, Surendra Byna, Kesheng Wu, "Spatially clustered join on heterogeneous scientific data sets", 2015 IEEE International Conference on Big Data (Big Data), 2015, 371--380,

Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu, "Patha: Performance analysis tool for hpc applications", 2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC), 2015, 1--8,

Taehoon Kim, Dongeun Lee, Jaesik Choi, Anna Spurlock, Alex Sim, Annika Todd, Kesheng Wu, "Extracting baseline electricity usage using gradient tree boosting", 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015, 734--741,

Taehoon Kim, Dongeun Lee, Jaesik Choi, C. Anna Spurlock, Alex Sim, Annika Todd, Kesheng Wu, "Extracting Baseline Electricity Usage with Gradient Boosting", International Conference on Big Intelligence and Computing (DataCom 2015), 2015, doi: 10.1109/SmartCity.2015.156

B Loring, H Karimabadi, V Rortershteyn, "A Screen Space GPGPU Surface LIC Algorithm for Distributed Memory Data Parallel Sort Last Rendering Infrastructures", NUMERICAL MODELING OF SPACE PLASMA FLOWS: ASTRONUM-2014, 2015, 498:231--239,

R Lewis, D Morozov, "Parallel computation of persistent homology using the blowup complex", Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2015, 2015-Jun:323--331, doi: 10.1145/2755573.2755587

Reinhard Gentz, Anna Scaglione, Yao-Win Hong, Lorenzo Ferrari, "PulseSS: A Microcontroller Implementation of Pulse-Coupled Scheduling and Synchronization Protocol for Cluster-BasedWireless Sensor Networks", 2015,

R. Gentz, H. T. Wai, A. Scaglione, A. Leshem, "Detection of data injection attacks in decentralized learning", 2015 49th Asilomar Conference on Signals, Systems and Computers, 2015, 350-354, doi: 10.1109/ACSSC.2015.7421145

David A Boyuka II, Houjun Tang, Kushal Bansal, Xiaocheng Zou, Scott Klasky, Nagiza F Samatova, "The hyperdyadic index and generalized indexing and query with PIQUE", Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015, 20,

D Ushizima, T Perciano, D Parkinson, "Fast detection of material deformation through structural dissimilarity", Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015, 2015, 2775--2781, doi: 10.1109/BigData.2015.7364080

R Chard, S Sehrish, A Rodriguez, R Madduri, TD Uram, M Paterno, K Heitmann, S Cholia, J Kowalkowski, S Habib, "PDACS-A portal for data analysis services for cosmological simulations", Proceedings of GCE 2014: 9th Gateway Computing Environments Workshop, held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2015, 30--33, doi: 10.1109/GCE.2014.7

W. Yoo, A. Sim, "Efficient Changing Pattern Detection on High Bandwidth Network Measurements", 7th International Conference on Grid and Distributed Computing, 2014,

A. L. Chervenak, A. Sim, J. Gu, R. Schuler, N. Hirpathak, "Adaptation and Policy-Based Resource Allocation for Efficient Bulk Data Transfers in High Performance Computing Environments", 4th International Workshop on Network-aware Data Management (NDM'14), 2014,

Sisi Duan, Karl Levitt, Hein Meling, Sean Peisert, Haibin Zhang, "Byzantine Fault Tolerance from Intrusion Detection", Proceedings of the 33rd IEEE International Symposium on Reliable Distributed Systems (SRDS), Nara, Japan, October 2014, 253-264, doi: 10.1109/SRDS.2014.28

Babak Behzad, Surendra Byna, Stefan M. Wild, Mr. Prabhat, Marc Snir, "Improving Parallel I/O Autotuning with Performance Modeling", ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC 2014), New York, NY, USA, ACM, 2014, 253--256, doi: 10.1145/2600212.2600708

Spyros Blanas, Kesheng Wu, Surendra Byna, Bin Dong, Arie Shoshani, "Parallel Data Analysis Directly on Scientific File", SIGMOD 14, 2014, 385--396, doi: 10.1145/2588555.2612185

Gunther H. Weber, Hans Johansen, Daniel T. Graves, Terry J. Ligocki, "Simulating Urban Environments for Energy Analysis", Proceedings Visualization in Environmental Sciences (EnvirVis), 2014, LBNL 6652E,

Tiancheng Chang, Sisi Duan, Hein Meling, Sean Peisert, Haibin Zhang, "P2S: A Fault-Tolerant Publish/Subscribe Infrastructure", Proceedings of the 8th ACM International Conference on Distributed Event Based Systems (DEBS), Mumbai, India, ACM Press, May 2014, 189-197, doi: 10.1145/2611286.2611305

Matt Bishop, Heather Conboy, Huong Phan, Borislava I. Simidchieva, George Avrunin, Lori Clarke, Lee Osterweil, Sean Peisert,, "Insider Detection by Process Analysis", Proceedings of the 2014 Workshop on Research for Insider Threat (WRIT), IEEE Computer Society Security and Privacy Workshops, San Jose, CA, IEEE Computer Society, May 18, 2014, doi: 10.1109/SPW.2014.40

A. L. Chervenak, A. Sim, J. Gu, R. Schuler, N. Hirpathak, "Efficient Data Staging Using Performance-Based Adaptation and Policy-Based Resource Allocation", 22nd Euromicro International Conference on Parallel, Distributed and Network-based Processing, 2014,

Gilberto Z. Pastorello, Deb A. Agarwal, Taghrid Samak, Dario Papale, Trotta, Alessio Ribeca, Cristina M. Poindexter, Boris Faybishenko, Dan K. Gunter, Rachel Hollowgrass, Eleonora Canfora, "Observational data patterns for time series data quality assessment", Proceedings of the 10th IEEE International Conference on e-Science (e-Science 2014), Guaruja, Brazil, 2014, doi: 10.1109/eScience.2014.45

Lavanya Ramakrishnan, Sarah S. Poon, Val C. Hendrix, Dan K. Gunter, Gilberto Z. Pastorello, Deb A. Agarwal, "Experiences with User-Centered Design for the Tigres Workflow API", Proceedings of the 10th IEEE International Conference on e-Science (e-Science 2014), Guaruja, Brazil, 2014, doi: 10.1109/eScience.2014.56

JR Balderrama, M Simonin, L Ramakrishnan, V Hendrix, C Morin, D Agarwal, C Tedeschi, "Combining workflow templates with a shared space-based execution model", Proceedings of WORKS 2014: The 9th Workshop on Workflows in Support of Large-Scale Science - held in conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2014, 50--58, doi: 10.1109/WORKS.2014.14

Elif Dede, Zacharia Fadika, Madhusudhan Govindaraju, Lavanya Ramakrishnan, "Benchmarking MapReduce Implementations Under Different Application Scenarios", Future Generation Computer Systems, 2014,

Elif Dede, Zacharia Fadika, Madhusudhan Govindaraju, Lavanya Ramakrishnan, "MARIANE: Using MApReduce In HPC Environments", Future Generation Computer Systems, 2014,

Elif Dede, Bedri Sendir, Pinar Kuzlu, Madhusudhan Govindaraju, Lavanya Ramakrishnan, "A Processing Pipeline for Cassandra Datasets Based on Hadoop Streaming", IEEE International Congress on Big Data, 2014,

Tonglin Hawk, Ioan Raicu, Lavanya Ramakrishnan, "Scalable State Management for Scientific Applications in the Cloud", IEEE International Congress on Big Data, 2014,

Masood Parvania, Georgia Koutsandria, Vishak Muthukumary, Sean Peisert, Chuck McParland, Anna Scaglione, "Hybrid Control Network Intrusion Detection Systems for Automated Power Distribution Systems", Proc. of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), January 1, 2014, 774--779, doi: 10.1109/DSN.2014.81

Georgia Koutsandria, Vishak Muthukumar, Masood Parvania, Sean Peisert, Chuck McParland, Anna Scaglione, "A hybrid network IDS for protective digital relays in the power transmission grid", Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on, January 2014, 908--913, doi: 10.1109/SmartGridComm.2014.7007764

Spyros Blanas, Kesheng Wu, Surendra Byna, Bin Dong, Arie Shoshani, "Parallel Data Analysis Directly on Scientific File Formats", SIGMOD 14, 2014, 385--396, doi: 10.1145/2588555.2612185

DP Schissel, Gheni Abla, SM Flanagan, M Greenwald, X Lee, A Romosan, A Shoshani, J Stillerman, J Wright, "Automated metadata, provenance cataloging and navigable interfaces: Ensuring the usefulness of extreme-scale data", Fusion Engineering and Design, North-Holland, 2014,

Qian Sun, Fan Zhang, Tong Jin, Hoang Bui, Kesheng Wu, Arie Shoshani, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar, "Scalable run-time data indexing and querying for scientific simulations", Big Data Analytics: Challenges and Opportunities (BDAC-14) Workshop at Supercomputing Conference, 2014,

Spyros Blanas, Kesheng Wu, Surendra Byna, Bin Dong, Arie Shoshani, "Parallel data analysis directly on scientific file formats", Proceedings of the 2014 ACM SIGMOD international conference on Management of data, January 1, 2014, 385--396,

M Scot Breitenfeld, Kalyana Chadalavada, Robert Sisneros, Surendra Byna, Quincey Koziol, Neil Fortner, Prabhat, Venkat Vishwanath, "Recent Progress in Tuning Performance of Large-scale I/O with Parallel HDF5", The 9th Parallel Data Storage Workshop (PDSW) held in conjunction with SC14, 2014,

Hsuan-Te Chiu, Jerry Chou, Venkat Vishwanath, Surendra Byna, Kesheng Wu, "Simplifying index file structure to improve I/O performance of parallel indexing", 2014 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2014, 576--583,

Ted Habermann, Andrew Collette, Steve Vincena, Jay Jay Billings, Matt Gerring, Konrad Hinsen, Werner Benger, Filipe RNC Maia, Suren Byna, Pierre de Buyl, "The Hierarchical Data Format (HDF): A Foundation for Sustainable Data and Software", 2nd Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2), in conjunction with Supercomputing 2014 (SC14), 2014,

Jialin Liu, Surendra Byna, Bin Dong, Kesheng Wu, Yong Chen, "Model-driven data layout selection for improving read performance", 2014 IEEE International Parallel \& Distributed Processing Symposium Workshops, 2014, 1708--1716,

Bin Dong, Surendra Byna, Kesheng Wu, "Parallel query evaluation as a Scientific Data Service", 2014 IEEE International Conference on Cluster Computing (CLUSTER), January 1, 2014, 194--202,

Jialin Liu, S. Byna, Bin Dong, Kesheng Wu, Chen, "Model-Driven Data Layout Selection for Improving Read", Parallel Distributed Processing Symposium Workshops 2014 IEEE International, 2014, 1708--1716, doi: 10.1109/IPDPSW.2014.190

Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Y Choi, Andreas Stathopoulos, CS Chang, Scott Klasky, "High-performance outlier detection algorithm for finding blob-filaments in plasma", Proc. of 5rd International Workshop on Big Data Analytics: Challenges and Opportunites (BDAC-14), held in conjunction with ACM/IEEE SC14, 2014,

L. Wu, K. Wu, A. Sim, M. Churchill, J. Y. Choi, A. Stathopoulos, CS Chang, S. Klasky, "High-Performance Outlier Detection Algorithm for Blob-Filaments in Plasma", 5th International Workshop on Big Data Analytics: and Opportunities (BDAC 14), 2014,

Jung Heon Song, Marcos L\ opez de Prado, Horst Simon, Kesheng Wu, "Exploring Irregular Time Series Through Non-uniform Fourier Transform", WHPCF 14, Piscataway, NJ, USA, IEEE Press, 2014, 37--44, doi: 10.1109/WHPCF.2014.8

D Ushizima, T Perciano, H Krishnan, B Loring, H Bale, D Parkinson, J Sethian, "Structure recognition from high resolution images of ceramic composites", Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014, 2014, 683--691, doi: 10.1109/BigData.2014.7004292

T Peterka, D Morozov, C Phillips, "High-Performance Computation of Distributed-Memory Parallel 3D Voronoi and Delaunay Tessellation", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 2014, 2015-Jan:997--1007, doi: 10.1109/SC.2014.86

Lorenzo Ferrari, Reinhard Gentz, Anna Scaglione, Masood Parvania, "The Pulse Coupled Phasor Measurement Units", IEEE Smartgridcomm, 2014,

John Jenkins, Xiaocheng Zou, Houjun Tang, Dries Kimpe, Robert Ross, Nagiza F Samatova, "Radar: Runtime asymmetric data-access driven scientific data replication", International Supercomputing Conference, 2014, 296--313,

Houjun Tang, Xiaocheng Zou, John Jenkins, David A Boyuka II, Stephen Ranshous, Dries Kimpe, Scott Klasky, Nagiza F Samatova, "Improving read performance with online access pattern analysis and prefetching", European Conference on Parallel Processing, 2014, 246--257,

Xiaocheng Zou, Sriram Lakshminarasimhan, David A Boyuka II, Stephen Ranshous, Houjun Tang, Scott Klasky, Nagiza F Samatova, "Fast set intersection through run-time bitmap construction over pfordelta-compressed indexes", European Conference on Parallel Processing, 2014, 668--679,

R Cowles, C Jackson, V Welch, S Cholia, "A model for identity management in future scientific collaboratories", Proceedings of Science, 2014, 23-28-Ma,

Sean Peisert, Ed Talbot, Tom Kroeger, "Principles of Authentication", Proceedings of the 2013 New Security Paradigms Workshop (NSPW), Banff, Canada, ACM, September 2013, 47-56, doi: 10.1145/2535813.2535819

K. Hu, A. Sim, D. Antoniades, C. Dovrolis, "Estimating and Forecasting Network Traffic Performance based on Statistical Patterns Observed in SNMP data", the 9th International Conference on Machine Learning and Data Mining (MLDM2013), 2013,

William Gu, Jaesik Choi, Ming Gu, Horst Simon, Kesheng Wu, "Fast Change Point Detection for Electricity Market Analysis", IEEE International Conference on Big Data, 2013, LBNL LBNL-6388E, doi: 10.1109/BigData.2013.6691733

Babak Behzad, Joseph Huchette, Huong Vu Thanh Luu, Ruth Aydt, Surendra Byna, Yushu Yao, Quincey Koziol, and Prabhat, "A framework for auto-tuning HDF5 applications", Proceedings of the 22nd international symposium on High-performance parallel and distributed computing (HPDC), 2013,

David Camp, Hari Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, and Hank Childs., "GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting", Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (EGPGV), May 5, 2013,

Devarshi Ghoshal, Lavanya Ramakrishnan, "FRIEDA: Flexible Robust Intelligent Elastic Data Management in Cloud Environments", 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC), IEEE, 2013, 1096--1105, doi: 10.1109/SC.Companion.2012.132

Elif Dede, Madhusudhan Govindaraju, Daniel Gunter, Richard Canon, Lavanya Ramakrishnan, "Semi-Structured Data Analysis using MongoDB and MapReduce: A Performance Evaluation", Proceedings of the 4th international workshop on Scientific cloud computing, 2013,

Eugen Feller, Lavanya Ramakrishnan, Christine Morin, "On the Performance and Energy Efficiency of Hadoop Deployment Models", The IEEE International Conference on Big Data 2013 (IEEE BigData 2013), Santa Clara, U.S.A, 2013,

You-Wei Cheah, Richard Canon, Beth Plale, Lavanya Ramakrishnan, "Milieu: Provenance Collection and Query Framework for High Performance Computing Systems", IEEE Big Data Congress, 2013,

Alex Romosan, Arie Shoshani, Kesheng Wu, Victor Markowitz, Kostas Mavrommatis, "Accelerating gene context analysis using bitmaps", Proceedings of the 25th International Conference on Scientific and Statistical Database Management, 2013, 1--12, LBNL 6397E,

E Wes Bethel, Prabhat Prabhat, Suren Byna, Oliver R\ ubel, K John Wu, Michael Wehner, "Why high performance visual data analytics is both relevant and difficult", Visualization and Data Analysis 2013, January 2013, 8654:86540B, LBNL LBNL-6063E,

• Download File: LBNL-6063E.pdf (pdf: 3.6 MB)

Bin Dong, Surendra Byna, Kesheng Wu, "SDS: a framework for scientific data services", Proceedings of the 8th Parallel Data Storage Workshop, January 1, 2013, 27--32,

Bin Dong, Surendra Byna, Kesheng Wu, "Expediting scientific data analysis with reorganization of data", 2013 IEEE International Conference on Cluster Computing (CLUSTER), January 1, 2013, 1--8,

Kuan-Wu Lin, Surendra Byna, Jerry Chou, Wu, "Optimizing FastQuery performance on Lustre file", Proceedings of the 25th International Conference on and Statistical Database Management, 2013, 29,

Jong Y Choi, Kesheng Wu, Jacky C Wu, Alex Sim, Qing G Liu, Matthew Wolf, C Chang, Scott Klasky, "Icee: Wide-area in transit data processing framework for near real-time scientific applications", 4th SC Workshop on Petascale (Big) Data Analytics: Challenges and Opportunities in conjunction with SC13, 2013, 11,

W. Gu, J. Choi, M. Gu, H. D. Simon, K., "Fast Change Point Detection for electricity market", 2013 IEEE International Conference on Big Data, 2013, 50--57, doi: 10.1109/BigData.2013.6691733

H Karimabadi, B Loring, P O leary, A Majumdar, M Tatineni, B Geveci, "In-situ visualization for global hybrid simulations", ACM International Conference Proceeding Series, 2013, doi: 10.1145/2484762.2484822

Gunther H. Weber, Hank Childs, Jeremy S. Meredith, "Recent Advances in VisIt: Parallel Crack-free Isosurface Extraction", Numerical Modeling of Space Plasma Flows: Astronum-2012 (Astronomical Society of the Pacific Conference Series), 2013,

Dmitriy Morozov, Gunther Weber, "Distributed Merge Trees", PPoPP 13, New York, NY, USA, ACM, 2013, 93--102, doi: 10.1145/2442516.2442526

Herbert Edelsbrunner, Dmitriy Morozov, "Persistent Homology: Theory and Practice", European Congress of Mathematics Krakow, 2 -- 7 July, 2012, Zuerich, Switzerland, European Mathematical Society Publishing House, 2013, 31--50, doi: 10.4171/120-1/3

Eric R Schendel, Steve Harenberg, Houjun Tang, Venkatram Vishwanath, Michael E Papka, Nagiza F Samatova, "A generic high-performance method for deinterleaving scientific data", European Conference on Parallel Processing, 2013, 571--582,

Babak Behzad, Joey Huchette, Huong Luu, Ruth Aydt, Quincey Koziol, Prabhat, Suren Byna, Mohamad Chaarawi, Yushu Yao, "Auto-Tuning of Parallel IO Parameters for HDF5 Applications", Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, 2012,

Junmin Gu, David Smith, Ann L. Chervenak, Alex Sim, "Adaptive Data Transfers that Utilize Policies for Resource Sharing", The 2nd International Workshop on Network-Aware Data Management Workshop (NDM2012), 2012,

Bin Dong, Xiuqiao Li, Limin Xiao, Li Ruan, "A New File-Specific Stripe Size Selection Method for Highly Concurrent Data Access", The 13th ACM/IEEE International Conference on Grid Computing (Grid 2012), 2012, 2012,

David Camp, Hank Childs, Christoph Garth, David Pugmire, Kenneth I. Joy, "Parallel Stream Surface Computation for Large Data Sets", Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV), October 2012, 39--47, LBNL 5776E,

Gunther H. Weber, Hank Childs, Jeremy S. Meredith, "Efficient Parallel Extraction of Crack-free Isosurfaces from Adaptive Mesh Refinement (AMR) Data", Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV), October 2012, 31--38, LBNL 5799E,

Sean Peisert, Ed Talbot, Matt Bishop, "Turtles All the Way Down: A Clean-Slate, Ground-Up, First-Principles Approach to Secure Systems", Proceedings of the 2012 New Security Paradigms Workshop (NSPW), ACM, September 2012, doi: 10.1145/2413296.2413299

Mehmet Balman, Eric Pouyoul, Yushu Yao, E. Wes Bethel, Burlen Loring, Prabhat, John Shalf, Alex Sim, and Brian L. Tierney, "Experiences with 100G Network Applications", In Proceedings of the Fifth international Workshop on Data-intensive Distributed Computing, in conjunction with ACM High Performance Distributing Computing (HPDC) Conference, 2012, Delft, Netherlands, June 2012, LBNL 5603E, doi: 10.1145/2286996.2287004

• Download File: didc-report.pdf (pdf: 11 MB)

Zacharia Fadika, Madhusudhan Govindaraju, Shane Canon, Lavanya Ramakrishnan, "Evaluting Hadoop for Data-Intensive Scientific Operations", IEEE Cloud Computing, 2012,

W. Yoo, K. Larson, L. Baugh, S. Kim, R. H. Campbell, "ADP: automated diagnosis of performance pathologies using hardware events", SIGMETRICS '12: Proc. of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems, 2012,

Karen L. Schuchardt, Deborah A. Agarwal, Stefan A. Finsterle, Carl W. Gable, Ian Gorton, Luke J. Gosink, Elizabeth H. Keating, Carina S. Lansing, Joerg Meyer, William A.M. Moeglein, George S.H. Pau, Ellen A. Porter, Sumit Purohit, Mark L. Rockhold, Arie Shoshani, and Chandrika Sivaramakrishnan, Akuna, "Integrated Toolsets Supporting Advanced Subsurface Flow and Transport Simulations for Environmental Management", XIX International Conference on Computational Methods in Water Resources (CMWR 2012), University of Illinois at Urbana-Champaign, June 2012,

• Download File: CMWR-2012.pdf (pdf: 1.9 MB)

Y. Yin, S. Byna, H. Song, X.-H. Sun, and R. Thakur, "Boosting Application-Specific Parallel I/O Optimization Using IOSIG", IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Ottowa, Canada, May 13, 2012,

Karen L. Schuchardt, Deborah A. Agarwal, Stefan A. Finsterle, Carl W. Gable, Ian Gorton, Luke J. Gosink, Elizabeth H. Keating, Carina S. Lansing, Joerg Meyer, William A.M. Moeglein, George S.H. Pau, Ellen A. Porter, Sumit Purohit, Mark L. Rockhold, Arie Shoshani, Chandrika Sivaramakrishnan, "Akuna-Integrated Toolsets Supporting Advanced Subsurface Flow and Transport Simulations for Environmental Management", XIX International Conference on Computational Methods in Water Resources (CMWR 2012), University of Illinois at Urbana-Champaign, June 17-22, 2012, 2012,

Taghrid Samak, Dan Gunter, Monte Goode, Ewa Deelman, Fabio Silva, Karan Vahi, "Failure Analysis of Distributed Scientific Workflows Executing in the Cloud", 8th International Conference on Network and Service Management (CNSM 2012), 2012,

Karan Vahi, Ian Harvey, Taghrid Samak, Dan Gunter, Kieran Evans, David Rogers, Ian Taylor, Monte Goode, Fabio Silva, Eddie Al-Shakarchi, Gaurang Mehta, Andrew Jones, Ewa Deelman, "A General Approach to Real-time Workflow Monitoring", The Seventh Workshop on Workflows in Support of Large-Scale Science (WORKS12), 2012,

D Gunter, S Cholia, A Jain, M Kocher, K Persson, L Ramakrishnan, SP Ong, G Ceder, "Community accessible datastore of high-throughput calculations: Experiences from the materials project", Proceedings - 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, SCC 2012, 2012, 1244--1251, doi: 10.1109/SC.Companion.2012.150

Dan Gunter, Raj Kettimuthu, Ezra Kissel, Martin Swany, Jun Yi, Jason Zurawski, "Exploiting Network Parallelism for Improving Data Transfer Performance", SC12 Companion, 2012,

T Samak, D Gunter, V Hendrix, "Scalable analysis of network measurements with Hadoop and Pig", Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012, 2012, 1254--1259, doi: 10.1109/NOMS.2012.6212060

Ezra Kissel, Ahmed El-Hassany, Guilherme Fernandes, Martin Swany, Dan Gunter, Taghrid Samak, Jennifer M. Schopf, "Scalable Integrated Performance Analysis of Multi-Gigabit Networks", Fifth International Workshop on Distributed Autonomous Network Management Systems 2012 (DANMS 12), 2012,

Elif Dede, Zacharia Fadika, Jessica Hartog, Modhusudhan Govindaraju, Lavanya Ramakrishnan, Daniel Gunter, Richard Shane Canon, "MARISSA: MApReduce Implementation for Streaming Science Applications", IEEE eScience Conference, 2012,

A Jain, G Hautier, SP Ong, C Moore, B Kang, H Chen, X Ma, JC Kim, M Kocher, D Gunter, S Cholia, A Greiner, DH Bailey, D Skinner, K Persson, G Ceder, "Materials Project: A public materials database and its application to lithium ion battery cathode design", ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2012, 243,

Lavanya Ramakrishnan, Richard Shane Canon, Krishna Muriki, Iwona Sakrejda, Nicholas J. Wright, "Evaluating Interconnect and Virtualization Performance for High Performance Computing", Special Issue of ACM Performance Evaluation Review, 2012, 40(2),

Surendra Byna, Jerry Chou, Oliver Rubel, Homa Karimabadi, William S Daughter, Vadim Roytershteyn, E Wes Bethel, Mark Howison, Ke-Jou Hsu, Kuan-Wu Lin, others, "Parallel I/O, analysis, and visualization of a trillion particle simulation", SC 12: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, January 2012, 1--12,

Elaheh Pourabbas, Arie Shoshani, Kesheng Wu, "Minimizing index size by reordering rows and columns", International Conference on Scientific and Statistical Database Management, January 2012, 467--484,

Benson Ma, Arie Shoshani, Alex Sim, Kesheng, Yong-Ik Byun, Jaegyoon Hahm, Min-Su Shin, "Efficient Attribute-Based Data Access in Astronomy", The 2nd International Workshop on Network-Aware Data Workshop (NDM2012), 2012, 562--571,

Oliver R\ ubel, Surendra Byna, Kesheng Wu, Fuyu Li, Michael Wehner, Wes Bethel, others, "Teca: A parallel toolkit for extreme climate analysis", Procedia Computer Science, Elsevier, January 2012, 9:866--876, LBNL 5352E,

E. W. Bethel, Surendra Byna, Jerry Chou, Cormier-Michel, Cameron G. R. Geddes, Howison, Fuyu Li, Prabhat, Ji Qiang, R\ ubel, Rob D. Ryne, Michael Wehner, Wu, "Big Data Analysis and Visualization: What Do LINACS Tropical Storms Have In Common?", 11th International Computational Accelerator Physics ICAP 2012, Germany, 2012,

O. R\ ubel, S. Byna, K. Wu, F. Li, M., W. Bethel, others, "TECA: A Parallel Toolkit for Extreme Climate", Procedia Computer Science, Elsevier, 2012, 9:866--876, doi: 10.1016/j.procs.2012.04.093

Allen R Sanderson, Brad Whitlock, H Childs, GH Weber, K Wu, others, "A system for query based analysis and visualization", January 2012, LBNL 5507E,

• Download File: LBNL-5507E.pdf (pdf: 562 KB)

Ichitaro Yamazaki, Kesheng Wu, "A Communication-Avoiding Thick-Restart Lanczos Method a Distributed-Memory System", Lecture Notes in Computer Science, 2012, 7155:345--354, doi: 10.1007/978-3-642-29737-3_39

M Balman, E Pouyoul, Y Yao, EW Bethel, B Loring, Prabhat, J Shalf, A Sim, BL Tierney, "Experiences with 100Gbps network applications", DIDC 12 - 5th International Workshop on Data-Intensive Distributed Computing, 2012, 33--42, doi: 10.1145/2286996.2287004

K Beketayev, GH Weber, D Morozov, A Abzhanov, B Hamann, "Geometry-preserving topological landscapes", Proceedings - WASA 2012: Workshop at SIGGRAPH Asia 2012, 2012, 155--160, doi: 10.1145/2425296.2425324

Dogan Demir, Kenes Beketayev, Gunther H. Weber, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann, "Topology Exploration with Hierarchical Landscapes", Proceedings of the Workshop at SIGGRAPH Asia 2012, New York, NY, USA, ACM, 2012, 147--154, doi: 10.1145/2425296.2425323

Mehmet Balman, Suredra Byna, "Open Problems in network-aware data management in exa-scale computing and terabit networking era", In Proceedings of the First international Workshop on Network-Aware Data Management, in conjunction with ACM/IEEE international Conference For High Performance Computing, Networking, Storage and Analysis, 2011, Seattle, WA, November 11, 2011, LBNL 6176E, doi: http://dx.doi.org/10.1145/2110217.2110229

• Download File: ndm12ppbalman.pdf (pdf: 141 KB)

E. Wes Bethel, David Leinweber, Oliver Rübel, Kesheng Wu, "Federal Market Information Technology in the Post Flash Crash Era: Roles of Supercomputing", Workshop on High Performance Computational Finance at SC11, Seattle, WA, USA, November 2011, LBNL 5263E,

Huang, M.-Y., Mackey, L., Keraenen, S.V.E., Weber, G.H., Jordan, M.I., Knowles, D.W., Biggin, M.D. and Hamann, B., "Visually Relating Gene Expression and in vivo DNA Binding Data", Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine 2011 (IEEE BIBM 2011), Los Alamitos, California, IEEE Computer Society Press, November 2011, 586-589, LBNL 5423E,

• Download File: LBNL-5423E.pdf (pdf: 599 KB)

David Camp, Hank Childs, Amit Chourasia, Christoph Garth, Kenneth Joy, "Evaluating the Benefits of An Extended Memory Hierarchy for Parallel Streamline Algorithms", Proceedings IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV) 2011, Providence, RI, USA, IEEE Press, October 2011, 57-64, LBNL 5503E,

• Download File: LBNL-camp.pdf (pdf: 1.1 MB)

Ushizima, D.M., Parkinson, D., Nico, P., Ajo-Franklin, J., Macdowell, A., Kocar, B., Bethel E.W, Sethian J.A., "Statistical segmentation and porosity quantification of 3D x-ray microtomography", XXXIV Applications of Digital Image Processing: Proceeding of SPIE 2011, San Diego, CA, USA, August 2011,

Ushizima, D.M., Weber, G.H., Ajo-Franklin, J., Kim, Y., Macdowell, A., Morozov, D., Nico, P., Parkinson, D., Trebotich, D., Wan, J., and Bethel E.W., "Analysis and visualization for multiscale control of geologic CO2", Journal of Physics: Conference Series, Proceedings of SciDAC 2011, July 2011, LBNL Denver, CO, USA,

A. Shoshani, I. Altintas, J. Chen, G. Chin, A. Choudhary, D. Crawl, T. Critchlow, K. Gao, B. Grimm, H. Iyer, C. Kamath, A. Khan, S. Klasky, S. Koehler, S. Lang, R. Latham, J. W. Li, W. Liao, J. Ligon, Q. Liu, B. Ludaescher, P. Mouallem, M. Nagappan, N. Podhorszki, R. Ross, D. Rotem, N. Samatova, C. Silva, A. Sim, R. Tchoua, R. Thakur, M. Vouk, K. Wu, W. Yu, "The Scientific Data Management Center: Available Technologies and Highlights", SciDAC Conference, 2011,

Sean Whalen, Sean Peisert, Matt Bishop, "Network-Theoretic Classification of Parallel Computation Patterns", Proceedings of the First International Workshop on Characterizing Applications for Heterogeneous Exascale Systems (CACHES), Tucson, AZ, IEEE Computer Society, June 4, 2011,

Weber, G.H., Bremer, P.T., Gyulassy A., and Pascucci, "Topology-based Feature Definition and Analysis", Numerical Modeling of Space Plasma Flows, San Diego, CA, USA, Astronomical Society of the Pacific, June 2011, 444:292-297, LBNL 5020E,

W. Yoo, K. Larson, L. Baugh, S. Kim, W. Ahn, R. H. Campbell, "Automated Fingerprinting of Performance Pathologies Using Performance Monitoring Units (PMUs)", HotPar'11: Proc. of USENIX Workshop on Hot topics in parallelism., May 26, 2011,

Junmin Gu, Dimitrios Katramatos, Xin Liu, Vijaya Natarajan, Arie Shoshani, Alex Sim, Dantong Yu, Scott Bradley, Shawn McKee, "StorNet: Co-Scheduling of End-to-End Bandwidth Reservation on Storage and Network Systems for High Performance Data Transfers", IEEE INFOCOM HSN 2011, 2011,