SDM publications

Hyunju Oh, Wei Zhang, Christopher D. Rickett, Sreenivas R. Sukumar, Suren Byna, "Evaluating Performance Trade-offs of Caching Strategies for AI-Powered Querying Systems", 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Washington DC, USA, 2024,

I. Mahmud, P. Zuk, C. Wang, M. Kiran, K. Wu, K. Thareja, K. Raghavan, A. Mandal, E. Deelman, "DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure", 5th International Workshop on Big Data & AI Tools, Models, and Use Cases for Innovative Scientific Discovery (BTSD), 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,

Wei Zhang, Houjun Tang, Suren Byna, "BULKI - Binary Unified Layout for Key-value Interchange", 9th International Parallel Data Systems Workshop (PDSW), 2024,

Jean Luca Bez, Suren Byna, "Exploring the Proactive Data Containers Runtime System in VAST - A Case Study", 9th International Parallel Data Systems Workshop (PDSW), 2024,

Hiniduma, K., Byna, S., Bez, J. L., Madduri, R., "AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI", 36th International Conference on Scientific and Statistical Database Management (SSDBM 2024), 2024,

Egersdoerfer, C., Sareen, Arnav., Bez, J. L., Byna, S., Dai, D., "ION: Navigating HPC I/O Optimization Journey using Large Language Models", 16th ACM Workshop on Hot Topics in Storage and File Systems (HotStorage'24), 2024, doi: 10.1145/3655038.3665950

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

I. Mahmud, G. Papadimitriou, G. Wang, M. Kiran, A. Mandal, E. Deelman, "Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links", 10th International Workshop on Innovating the Network for Data Intensive Science (INDIS 2023), 2023, doi: 10.1145/3624062.3624594

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

Jakob Luettgau, Shane Snyder, Tyler Reddy, Nikolaus Awtrey, Kevin Harms, Jean Luca Bez, Rui Wang, Rob Latham, Philip Carns, "Enabling Agile Analysis of I/O Performance Data with PyDarshan", Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, USA, Association for Computing Machinery, November 12, 2023, 1380–1391, doi: 10.1145/3624062.3624207

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)

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

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

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,

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

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

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,

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

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

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

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

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

André Ramos Carneiro, Jean Luca Bez, Carla Osthoff, Lucas Mello Schnorr, Phillipe Olivier Alexandre Navaux, "HPC Data Storage at a Glance: The Santos Dumont Experience", IEEE 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), IEEE, November 26, 2021, 157-166, doi: 10.1109/SBAC-PAD53543.2021.00027

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,

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,

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

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,

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,

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,

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

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,

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

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

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

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

S Abimbola, B Mohammed, M Sibusiso, IU Awan, and Jules Pagna Disso, "A Framework for Distributed Denial of Service Attack Detection and Reactive Countermeasure in Software Defined Network", 2019 7th IEEE International Conference on Future Internet of Things and Cloud (FiCloud), January 30, 2020, doi: 10.1109/FiCloud.2019.00019

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,

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

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

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

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

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)

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,

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

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,

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)

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,

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)

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,

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,

Devarshi Ghoshal, Kesheng Wu, Eric Pouyoul, Erich Strohmaier, "Analysis and Prediction of Data Transfer Throughput for Data-Intensive Workloads", 2019 IEEE International Conference on Big Data (Big Data), 2019, 3648--3657,

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,

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)

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

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,

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,

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,

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,

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)

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)

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,

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

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

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

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,

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

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,

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)

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,

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,

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,

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, 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)

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,

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,

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,

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)

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,

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,

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,

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

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,

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

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,

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,

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,

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,

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

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,

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,

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,

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,

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

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,

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

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,

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

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,

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,

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,

Mehmet Balman, "Advance Resource Provisioning in Bulk Data Scheduling", 27th IEEE International Conference on Advanced Information Networking and Applications (AINA), 2013, LBNL 6364E, doi: http://dx.doi.org/10.1109/AINA.2013.5

• Download File: rpt82927.PDF (PDF: 1 MB)

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,

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,

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)

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,

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,

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,

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,

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)

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,

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,

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,

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

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,

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,

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)

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,

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,

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,

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,

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,

Dean N. Williams, Ian T. Foster, Don E. Middleton, Rachana Ananthakrishnan, Neill Miller, Mehmet Balman, Junmin Gu, Vijaya Natarajan, Arie Shoshani, Alex Sim, Gavin Bell, Robert Drach, Michael Ganzberger, Jim Ahrens, Phil Jones, Daniel Crichton, Luca Cinquini, David Brown, Danielle Harper, Nathan Hook, Eric Nienhouse, Gary Strand, Hannah Wilcox, Nathan Wilhelmi, Stephan Zednik, Steve Hankin, Roland Schweitzer, John Harney, Ross Miller, Galen Shipman, Feiyi Wang, Peter Fox, Patrick West, Stephan Zednik, Ann Chervenak, Craig Ward, "Earth System Grid Center for Enabling Technologies (ESG-CET): A Data Infrastructure for Data-Intensive Climate Research", SciDAC Conference, 2011,

Surendra Byna, Michael F Wehner, Kesheng John Wu, "Detecting atmospheric rivers in large climate datasets", Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities, 2011, 7--14,

Jerry Chou, Mark Howison, Brian Austin, Kesheng Wu, Ji Qiang, E Wes Bethel, Arie Shoshani, Oliver R\ ubel, Rob D Ryne, "Parallel index and query for large scale data analysis", Proceedings of 2011 international conference for high performance computing, networking, storage and analysis, 2011, 1--11, LBNL 5317E,

Kesheng Wu, Surendra Byna, Doron Rotem, Arie, "Scientific Data Services -- A High-Performance I/O with Array Semantics", HPCDB, IEEE, 2011, doi: 10.11v45/2125636.2125640

J. Chou, K. Wu, O. R\ ubel, M. Howison, Qiang, Prabhat, B. Austin, E. W. Bethel, D. Ryne, A. Shoshani, "Parallel Index and Query for Large Scale Data", SC11, 2011, doi: 10.1145/2063384.2063424

Jinoh Kim, Hasan Abbasi, Luis Chac\ on, Docan, Scott Klasky, Qing Liu, Norbert, Arie Shoshani, Kesheng Wu, "Parallel In Situ Indexing for Data-intensive", LDAV, 2011, 65--72, doi: 10.1109/LDAV.2011.6092319

Jerry Chou, Kesheng Wu, Prabhat, "FastQuery: A General Indexing and Querying System Scientific Data", SSDBM, 2011, 573--574, doi: 10.1007/978-3-642-22351-8_42

Jerry Chou, Kesheng Wu, Prabhat, "FastQuery: A Parallel Indexing System for Data", IASDS, IEEE, 2011, doi: 10.1109/CLUSTER.2011.86

Jerry Chou, Kesheng Wu, others, "Fastquery: A parallel indexing system for scientific data", 2011 IEEE International Conference on Cluster Computing, 2011, 455--464,

Kamesh Madduri, Kesheng Wu, "Massive-Scale RDF Processing Using Compressed Bitmap", SSDBM, Springer, 2011, 470--479, doi: 10.1007/978-3-642-22351-8_30

Mehmet Balman, Evangelos Chaniotakis, Arie Shoshani, Alex Sim, "A Flexible Reservation Algorithm for Advance Network Provisioning", ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans, LA, November 2010 (SC'10)., New Orleans, LA, IEEE Computer Society Washington, DC, USA ISBN: 978-1-4244-7559-, November 14, 2010, LBNL 4017E, doi: http://dx.doi.org/10.1109/SC.2010.4

• Download File: rpt79306.PDF (PDF: 2.8 MB)

W. Yoo, S. Shi, W. J. Jeon, K. Nahrstedt, R. H. Campbell, "Real-time parallel remote rendering for mobile devices using graphics processing units", ICME '10: IEEE International Conference onMultimedia and Expo, July 19, 2010,

G. Attebury, A. Baranovski, K. Bloom, B. Bockelman, D. Kcira, J. Letts, T. Levshina, C. Lundestedt, T. Martin, W. Maier, H. Pi, A. Rana, I. Sfiligoi, A. Sim, M. Thomas, F. Wuerthwein, "Roadmap for Applying Hadoop Distributed File System in Scientific Grid Computing", International Symposium on Grid Computing (ISGC), 2010,

Julian Cummings, Jay Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto, "EFFIS: An End-to-end Framework for Fusion Integrated Simulation", 18th Euromicro Conference on Parallel, Distributed and Network-based Processing, 2010,

Daren Hasenkamp, Alexander Sim, Michael Wehner, Kesheng Wu, "Finding tropical cyclones on a cloud computing cluster: Using parallel virtualization for large-scale climate simulation analysis", 2010 IEEE Second International Conference on Cloud Computing Technology and Science, 2010, 201--208, LBNL 4218E,

• Download File: LBNL-4218E.pdf (pdf: 559 KB)

Raj Kettimuthu, Alex Sim, Dan Gunter, Bill Allcock, Peer T. Bremer, John Bresnahan, Andrew Cherry, Lisa Childers, Eli Dart, Ian Foster, Kevin Harms, Jason Hick, Jason Lee, Michael Link, Jeff Long, Keith Miller, Vijaya Natarajan, Valerio Pascucci, Ken Raffenetti, David Ressman, Dean Williams, Loren Wilson, Linda Winkler, "Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network", HPDC 10, New York, NY, USA, ACM, 2010, 316--319, doi: 10.1145/1851476.1851519

Oliver R\ ubel, Sean Ahern, E Wes Bethel, Mark D Biggin, Hank Childs, Estelle Cormier-Michel, Angela DePace, Michael B Eisen, Charless C Fowlkes, Cameron GR Geddes, others, "Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data", Procedia computer science, Elsevier, January 2010, 1:1757--1764, LBNL 3669E,

• Download File: ICCS2010Ruebel.pdf (pdf: 3.7 MB)

Gunther Weber, "Recent advances in visit: Amr streamlines and query-driven visualization", 2010,

• Download File: LBNL-3185E.pdf (pdf: 2.1 MB)

Kesheng Wu, Arie Shoshani, Kurt Stockinger, "Analyses of multi-level and multi-component compressed indexes", ACM Transactions on Database Systems, ACM, 2010, 35:1--52, doi: 10.1145/1670243.1670245

Kesheng Wu, Kamesh Madduri, Shane Canon, "Multi-level bitmap indexes for flash memory storage", Proceedings of the Fourteenth International Database Engineering \& Applications Symposium, 2010, 114--116,

G. Attebury, A. Baranovski, K. Bloom, B. Bockelman, D. Kcira, J. Letts, T. Levshina, C. Lundestedt, T. Martin, W. Maier, H. Pi, A. Rana, I. Sfiligoi, A. Sim, M. Thomas, F. Wuerthwein, "Hadoop Distributed File System for the Grid", IEEE Nuclear Science Symposium, 2009,

E. W. Bethel, C. Johnson, S. Ahern, J. Bell, P.-T. Bremer, H. Childs, E. Cormier-Michel, M. Day, E. Deines, T. Fogal, C. Garth, C. G. R. Geddes, H. Hagen, B. Hamann, C. Hansen, J. Jacobsen, K. Joy, J. Kruger, J. Meredith, P. Messmer, G. Ostrouchov, V. Pascucci, K. Potter, Prabhat, D. Pugmire, O. Rubel, A. Sanderson, C. Silva, D. Ushizima, G. Weber, B. Whitlock, K. Wu, "Occam's Razor and Petascale Visual Data Analysis", SciDAC 2009, J. of Physics: Conference Series, San Diego, California, July 2009, LBNL 2210E,

• Download File: BethelETALSciDAC2009.pdf (pdf: 23 MB)

Luke Gosink, Kesheng Wu, E. Wes Bethel, John D. Owens, Kenneth I. Joy, "Data Parallel Bin-based Indexing for Answering Queries on Multi-core Architecture", Proceedings of the 21st International Conference on Scientific and Statistical Database Management (SSDBM), June 2009, 5566:110-129, LBNL 2211E,

• Download File: LBNL-2211E.pdf (pdf: 219 KB)

Ekow J. Otoo, Doron Rotem, and Shih-Chiang Tsao, "Energy smart management of scientific data", 21st Int'l. Conf. on Sc. and Stat. Database Management (SSDBM’2009), New Orleans, Louisiana, USA, June 2009, LBNL 2185E,

K. Madduri and D.A. Bader, "Compact Graph Representations and Parallel Connectivity Algorithms for Massive Dynamic Network Analysis", The 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2009), Rome, Italy, 2009,

Ekow Otoo, Doron Rotem and Shih-Chiang Tsao, "Analysis of Trade-Off Between Power Saving and Response Time in Disk Storage Systems", Fifth Workshop on High-Performance, Power-Aware Computing, Rome, Italy, May 2, 2009,

K Wu, S Ahern, EW Bethel, J Chen, H Childs, C Geddes, J Gu, H Hagen, B Hamann, J Lauret, others, "FastBit: Interactively Searching Massive Data", Proc. of SciDAC 2009, 2009, LBNL 2164E,

• Download File: LBNL-2164E.pdf (pdf: 3.2 MB)

Luke J Gosink, Kesheng Wu, E Wes Bethel, John D Owens, Kenneth I Joy, "Data parallel bin-based indexing for answering queries on multi-core architectures", International Conference on Scientific and Statistical Database Management, 2009, 110--129,

Meiyappan Nagappan, Kesheng Wu, Mladen A Vouk, "Efficiently extracting operational profiles from execution logs using suffix arrays", 2009 20th International Symposium on Software Reliability Engineering, January 1, 2009, 41--50,

E Bethel, "Modern Scientific Visualization is More than Just Pretty Pictures", January 2009, LBNL 1450E,

• Download File: LBNL-1450E.pdf (pdf: 9.8 MB)

D. N. Williams, R. Ananthakrishnan, D. E. Bernholdt, S. Bharathi, D. Brown, M. Chen, A. L. Chervenak, L. Cinquini, R. Drach, I. T. Foster, P. Fox, S. Hankin, V. E. Henson, P. Jones, D. E. Middleton, J. Schwidder, R. Schweitzer, R. Schuler, A Shoshani, F. Siebenlist, A. Sim, W. G. Strand, N. Wilhelmi, M. Su, "Data Management and Analysis for the Earth System Grid", SciDAC Conference, 2008,

W. Betts, L. Didenko, T. Freeman, P. Jakl, L. Hajdu, E. Hjort, K. Keahey, J. Lauret, D. Olson, A. Rose, I. Sakrejda, A. Sim, "STAR Grid Activities, OSG and Beyond", International Symposium on Grid Computing (ISGC), 2008,

Meiyappan Nagappan, Mladen A. Vouk, Kesheng Wu Alex Sim, Arie Shoshani, "Efficient Operational Profiling of Systems Using Arrays on Execution Logs", ISSRE, 2008, 313--314, doi: 10.1109/ISSRE.2008.45

Rishi Rakesh Sinha, Marianne Winslett, Kesheng, Kurt Stockinger, Arie Shoshani, "Adaptive Bitmap Indexes for Space-Constrained", ICDE 2008, 2008, 1418--1420,

Kesheng Wu, Kurt Stockinger, Arie Shoshani, "Breaking the curse of cardinality on bitmap indexes", International Conference on Scientific and Statistical Database Management, 2008, 348--365,

Frederick Reiss, Kurt Stockinger, Kesheng Wu, Shoshani, Joseph M. Hellerstein, "Enabling Real-Time Querying of Live and Historical Data", SSDBM 2007, 2007,

D. E. Middleton, D. E. Bernholdt, D. Brown, M. Chen, A. L. Chervenak, L. Cinquini, R. Drach, P. Fox, P. Jones, C. Kesselman, I. T. Foster, V. Nefedova, A. Shoshani, A. Sim, W. G. Strand, D. Williams, "Enabling worldwide access to climate simulation data: the earth system grid (ESG)", SciDAV Conference, 2006,

P. Jakl, J. Lauret, A. Hanushevky, A. Shoshani, A. Sim, "From rootd to Xrootd, from physical to logical files: experience on accessing and managing distributed data", Computing in High Energy Physics (CHEP), 2006,

E. Hjort, L. Hajdu, J. Lauret, D. Olson, A. Sim, A. Shoshani, "Data and Computational Grid Coupling in RHIC/STAR – An Analysis Scenario using SRM Technology", Computing in High Energy Physics (CHEP), 2006,

Luke Gosink, John Shalf, Kurt Stockinger, Wu, Wes Bethel, "HDF5-FastQuery: Accelerating Complex Queries on Datasets using Fast Bitmap Indices", SSDBM 2006, Vienna, Austria, July 2006, IEEE Computer Society Press., 2006, 149--158,

A. Shoshani, A. Sim, K. Stockinger, "RRS: Replica Registration Service for Data Grids", International Workshop on Data Management in Grids, 2005,

Kesheng Wu, Junmin Gu, Jerome Lauret, Arthur Poskanzer, Arie Shoshani, Alexander Sim, Zhang, "Grid Collector: Facilitating Efficient Selective from Data Grids", International Supercomputer Conference 2005, 2005,

Kesheng Wu, "FastBit: an efficient indexing technology for data-intensive science", Journal of Physics: Conference Series, IOP Publishing, 2005, 16:556--560, LBNL LBNL-2164E, doi: 10.1088/1742-6596/16/1/077

Kesheng Wu, Ekow Otoo, Arie Shoshani, "Optimizing connected component labeling algorithms", Medical Imaging 2005: Image Processing, 2005, 5747:1965--1976,

E. Wes Bethel, Scott Campbell, Eli Dart, Lee, Steven A. Smith, Kurt Stockinger, Tierney, Kesheng Wu, "Interactive Analysis of Large Network Data Collections Query-Driven Visualization", 2005,

Alex Sim, Junmin Gu, Arie Shoshani, Vijaya Natarajan, "DataMover: Robust Terabytes-Scale Multi-file Replication over Wide-Area Networks", the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004,

Kesheng Wu, Wei-Ming Zhang, Victor, Jerome Lauret, Arie Shoshani, "The Grid Collector: Using an Event Catalog to Speed up Analysis in Distributed Environment", Proceedings of Computing in High Energy and Nuclear (CHEP) 2004, 2004,

A. Sim, J. Gu, A. Shoshani, E. Hjort, D. Olson, "Experience with Deploying Storage Resource Managers to Achieve Robust File Replication", Computing in High Energy Physics, 2003,

D. Yu, J. Lauret, A. Shoshani, D. Oldon, E. Hjort, A. Sim, "The Design of High Performance Data Replication in the Grid Environment for the STAR Collaboration", Computing in High Energy Physics, 2003,

L. Pouchard, L. Cinquini, B. Drach, D. Middleton, D. Bernholdt, K. Chanchio, I. Foster, V. Nefedova, D. Brown, P. Fox, J. Garcia, G. Strand, D. Williams, A. Chervenak, C. Kesselman, A. Shoshani, A. Sim, "An Ontology for Scientific Information in a Grid Environment: the Earth System Grid", the Symposium on Cluster Computing and the Grid (CCGrid), 2003,

E. Hjort, D. Olson, A. Sim, J. Yang, J. Lauret, M. Messer, "Data Grid Services in STAR, Initial Deployment: Site-to-Site File Replication", Computing in High Energy Physics, 2001,

D. Olson, E. Hjort, J. Lauret, M. Messer, A. Shoshani, A. Sim, "Non-shared Disk Cluster - A Fault Tolerant, Commodity Approach to Hi-Bandwidth Data Analysis", Computing in High Energy Physics, 2001,

L. M. Bernardo, B. Gibbard, D. Malon, H. Nordberg, D. Olson, R. Porter, A. Shoshani, A. Sim, A. Vaniachine, T. Wenaus, K. Wu, D. Zimmerman, "New Capabilities in the HENP Grand Challenge Storage Access System and its Application at RHIC", Computing in High Energy Physics, 2000,

L. M. Bernardo, A. Shoshani, A. Sim, H. Nordberg, "Access Coordination Of Tertiary Storage For High Energy Physics Applications", the 17th IEEE Symposium on Mass Storage Systems, 2000,