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2020 – today
- 2024
[j16]Jean Luca Bez
, Houjun Tang, M. Scot Breitenfeld, Huihuo Zheng, Wei-Keng Liao, Kaiyuan Hou, Zanhua Huang, Suren Byna:
h5bench: A unified benchmark suite for evaluating HDF5 I/O performance on pre-exascale platforms. Concurr. Comput. Pract. Exp. 36(16) (2024)- [j15]Jean Luca Bez, Suren Byna, Shadi Ibrahim:
I/O Access Patterns in HPC Applications: A 360-Degree Survey. ACM Comput. Surv. 56(2): 46:1-46:41 (2024) - [j14]Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley:
PROV-IO$^+$+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. IEEE Trans. Parallel Distributed Syst. 35(5): 844-861 (2024) - [c120]Wei Zhang, Houjun Tang, Suren Byna:
IDIOMS: Index-powered Distributed Object-centric Metadata Search for Scientific Data Management. CCGrid 2024: 598-608 - [c119]Keegan Sanchez, Alex Gavin, Suren Byna, Kesheng Wu, Xuechen Zhang:
A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory. Euro-Par (2) 2024: 182-195 - [c118]Chris Egersdoerfer, Arnav Sareen, Jean Luca Bez, Suren Byna, Dong Dai:
ION: Navigating the HPC I/O Optimization Journey using Large Language Models. HotStorage 2024 - [c117]Bin Dong, Kesheng Wu, Suren Byna:
The Art of Sparsity: Mastering High-Dimensional Tensor Storage. IPDPS (Workshops) 2024: 439-446 - [c116]Neeraj Rajesh, Keith Bateman, Jean Luca Bez, Suren Byna, Anthony Kougkas, Xian-He Sun:
TunIO: An AI-powered Framework for Optimizing HPC I/O. IPDPS 2024: 494-505 - [c115]Dong Kyu Sung, Yongseok Son, Alex Sim, Kesheng Wu, Suren Byna, Houjun Tang, Hyeonsang Eom, Changjong Kim, Sunggon Kim:
A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis. IPDPS 2024: 506-518 - [c114]Hammad Ather, Jean Luca Bez, Yankun Xia, Suren Byna:
Drilling Down I/O Bottlenecks with Cross-layer I/O Profile Exploration. IPDPS 2024: 532-543 - [c113]Ananth Kalyanaraman, Suren Byna:
Message from the 2024 Workshops Chair and Vice-chair. IPDPS (Workshops) 2024: xxx-xxxi - [c112]Kaveen Hiniduma, Suren Byna, Jean Luca Bez, Ravi Madduri:
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI. SSDBM 2024: 7:1-7:12 - [e7]Shadi Ibrahim, Suren Byna, Amelie Chi Zhou:
Proceedings of the 4th Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, CHEOPS 2024, Athens, Greece, 22 April 2024. ACM 2024 [contents] - [e6]Shadi Ibrahim, Suren Byna, Tristan Allard, Jay F. Lofstead, Amelie Chi Zhou, Tassadit Bouadi, Jalil Boukhobza, Diana Moise, Cédric Tedeschi, Jean Luca Bez:
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, SSDBM 2024, Rennes, France, July 10-12, 2024. ACM 2024, ISBN 979-8-4007-1020-9 [contents] - [i12]Kaveen Hiniduma, Suren Byna, Jean Luca Bez:
Data Readiness for AI: A 360-Degree Survey. CoRR abs/2404.05779 (2024) - [i11]Noah Lewis, Jean Luca Bez, Suren Byna:
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey. CoRR abs/2404.10386 (2024) - [i10]Kaveen Hiniduma, Suren Byna, Jean Luca Bez, Ravi Madduri:
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI. CoRR abs/2406.19256 (2024) - 2023
- [j13]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son:
Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis. J. Big Data 10(1): 65 (2023) - [c111]Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen:
PSQS: Parallel Semantic Querying Service for Self-describing File Formats. IEEE Big Data 2023: 536-541 - [c110]John Ravi, Suren Byna, Michela Becchi:
Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGrid 2023: 229-239 - [c109]John Ravi, Suren Byna, Michela Becchi:
Runway: In-transit Data Compression on Heterogeneous HPC Systems. CCGridW 2023: 340-342 - [c108]Arnab K. Paul, Suren Byna:
HiPC 2023 Student Research Symposium (HiPC SRS 2023). HiPCW 2023: 65-94 - [c107]Bin Dong, Jean Luca Bez, Suren Byna:
AIIO: Using Artificial Intelligence for Job-Level and Automatic I/O Performance Bottleneck Diagnosis. HPDC 2023: 155-167 - [c106]John Ravi, Suren Byna, Quincey Koziol, Houjun Tang, Michela Becchi:
Evaluating Asynchronous Parallel I/O on HPC Systems. IPDPS 2023: 211-221 - [c105]Md. Kamal Hossain Chowdhury, Houjun Tang, Jean Luca Bez, Purushotham V. Bangalore, Suren Byna:
Efficient Asynchronous I/O with Request Merging. IPDPS Workshops 2023: 628-636 - [c104]Hammad Ather, Jean Luca Bez, Boyana Norris, Suren Byna:
Illuminating the I/O Optimization Path of Scientific Applications. ISC 2023: 22-41 - [e5]Jean-Thomas Acquaviva, Shadi Ibrahim, Suren Byna:
Proceedings of the 3rd Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, CHEOPS 2023, Rome, Italy, 8 May 2023. ACM 2023 [contents] - [i9]Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf:
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. CoRR abs/2308.00891 (2023) - 2022
- [j12]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son:
Design and implementation of dynamic I/O control scheme for large scale distributed file systems. Clust. Comput. 25(6): 4423-4438 (2022) - [j11]Bin Dong, Alex Popescu, Verónica Rodríguez Tribaldos, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu:
Real-time and post-hoc compression for data from Distributed Acoustic Sensing. Comput. Geosci. 166: 105181 (2022) - [j10]Houjun Tang, Quincey Koziol, John Ravi, Suren Byna:
Transparent Asynchronous Parallel I/O Using Background Threads. IEEE Trans. Parallel Distributed Syst. 33(4): 891-902 (2022) - [c103]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. CCGRID 2022: 61-70 - [c102]Suren Byna:
Understanding Parallel I/O Performance and Tuning. SNTA@HPDC 2022: 1-2 - [c101]Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Bing Xie, Suren Byna, Philip H. Carns, Sarp Oral, Feiyi Wang, Jesse Hanley:
Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load. HPDC 2022: 43-55 - [c100]Runzhou Han, Suren Byna, Houjun Tang, Bin Dong, Mai Zheng:
PROV-IO: An I/O-Centric Provenance Framework for Scientific Data on HPC Systems. HPDC 2022: 213-226 - [c99]Chenxu Niu, Wei Zhang, Suren Byna, Yong Chen:
Kv2vec: A Distributed Representation Method for Key-value Pairs from Metadata Attributes. HPEC 2022: 1-7 - [c98]Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. ICDE 2022: 2494-2507 - [c97]Jean Luca Bez, Hammad Ather, Suren Byna:
Drishti: Guiding End-Users in the I/O Optimization Journey. PDSW@SC 2022: 1-6 - [c96]Rajeev Jain, Houjun Tang, Akash Dhruv, James Austin Harris, Suren Byna:
Accelerating Flash-X Simulations with Asynchronous I/O. PDSW@SC 2022: 13-19 - [c95]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. SC 2022: 61:1-61:15 - [i8]Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, William Arndt, Johannes P. Blaschke, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Bjoern Enders, Aditi Gaur, Annette Greiner, Taylor L. Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin C. Thomas, Gabor Torok:
The LBNL Superfacility Project Report. CoRR abs/2206.11992 (2022) - [i7]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. CoRR abs/2206.14761 (2022) - [i6]Sriniket Ambatipudi, Suren Byna:
A Comparison of HDF5, Zarr, and netCDF4 in Performing Common I/O Operations. CoRR abs/2207.09503 (2022) - 2021
- [b1]Bin Dong, Kesheng Wu, Suren Byna:
User-Defined Tensor Data Analysis, 2. Springer Briefs in Computer Science, Springer 2021, ISBN 978-3-030-70749-1, pp. 1-84 - [c94]Qiao Kang, M. Scot Breitenfeld, Kaiyuan Hou, Wei-keng Liao, Robert B. Ross, Suren Byna:
Optimizing Performance of Parallel I/O Accesses to Non-contiguous Blocks in Multiple Array Variables. IEEE BigData 2021: 98-108 - [c93]Houjun Tang, Suren Byna, N. Anders Petersson, David McCallen:
Tuning Parallel Data Compression and I/O for Large-scale Earthquake Simulation. IEEE BigData 2021: 2992-2997 - [c92]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: 51-60 - [c91]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CLUSTER 2021: 409-420 - [c90]Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Hanul Sung, Hyeonsang Eom:
An In-Depth I/O Pattern Analysis in HPC Systems. HiPC 2021: 400-405 - [c89]Jean Luca Bez, Houjun Tang, Bing Xie, David B. Williams-Young, Robert Latham, Robert B. Ross, Sarp Oral, Suren Byna:
I/O Bottleneck Detection and Tuning: Connecting the Dots using Interactive Log Analysis. PDSW@SC 2021: 15-22 - [c88]Cong Xu, Suparna Bhattacharya, Martin Foltin, Suren Byna, Paolo Faraboschi:
Data-Aware Storage Tiering for Deep Learning. PDSW@SC 2021: 23-28 - [c87]Houjun Tang, Bing Xie, Suren Byna, Philip H. Carns, Quincey Koziol, Sudarsun Kannan, Jay F. Lofstead, Sarp Oral:
SCTuner: An Autotuner Addressing Dynamic I/O Needs on Supercomputer I/O Subsystems. PDSW@SC 2021: 29-34 - [c86]Wei Zhang, Suren Byna, Hyogi Sim, Sangkeun Lee, Sudharshan Vazhkudai, Yong Chen:
Exploiting user activeness for data retention in HPC systems. SC 2021: 102 - [e4]Yixin Chen, Heiko Ludwig, Yicheng Tu, Usama M. Fayyad, Xingquan Zhu, Xiaohua Hu, Suren Byna, Xiong Liu, Jianping Zhang, Shirui Pan, Vagelis Papalexakis, Jianwu Wang, Alfredo Cuzzocrea, Carlos Ordonez:
2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021. IEEE 2021, ISBN 978-1-6654-3902-2 [contents] - [i5]Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao:
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. CoRR abs/2105.12929 (2021) - [i4]Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello:
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling. CoRR abs/2111.09815 (2021) - 2020
- [j9]Jingqing Mu, Jérome Soumagne, Suren Byna, Quincey Koziol, Houjun Tang, Richard Warren:
Interfacing HDF5 with a scalable object-centric storage system on hierarchical storage. Concurr. Comput. Pract. Exp. 32(20) (2020) - [j8]Suren Byna, M. Scot Breitenfeld, Bin Dong, Quincey Koziol, Elena Pourmal, Dana Robinson, Jérome Soumagne, Houjun Tang, Venkatram Vishwanath, Richard Warren:
ExaHDF5: Delivering Efficient Parallel I/O on Exascale Computing Systems. J. Comput. Sci. Technol. 35(1): 145-160 (2020) - [c85]Tirthak Patel, Suren Byna, Glenn K. Lockwood, Nicholas J. Wright, Philip H. Carns, Robert B. Ross, Devesh Tiwari:
Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files on Large-Scale Production HPC Systems. FAST 2020: 91-101 - [c84]Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, Hyeonsang Eom:
HPC Workload Characterization Using Feature Selection and Clustering. SNTA@HPDC 2020: 33-40 - [c83]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom:
Towards HPC I/O Performance Prediction through Large-scale Log Analysis. HPDC 2020: 77-88 - [c82]Bin Dong, Verónica Rodríguez Tribaldos, Xin Xing, Suren Byna, Jonathan Ajo-Franklin, Kesheng Wu:
DASSA: Parallel DAS Data Storage and Analysis for Subsurface Event Detection. IPDPS 2020: 254-263 - [c81]Houjun Tang, Suren Byna, Bin Dong, Quincey Koziol:
Parallel Query Service for Object-centric Data Management Systems. IPDPS Workshops 2020: 406-415 - [c80]Donghe Kang, Oliver Rübel, Suren Byna, Spyros Blanas:
Predicting and Comparing the Performance of Array Management Libraries. IPDPS 2020: 906-915 - [c79]Bjoern Enders, Debbie Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Aditi Gaur, Annette Greiner, Taylor L. Groves, Mariam Kiran, Quincey Koziol, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Rollin C. Thomas, Gabor Torok:
Cross-facility science with the Superfacility Project at LBNL. XLOOP@SC 2020: 1-7 - [c78]John Ravi, Suren Byna, Quincey Koziol:
GPU Direct I/O with HDF5. PDSW@SC 2020: 28-33
2010 – 2019
- 2019
- [j7]Beytullah Yildiz, Kesheng Wu, Suren Byna, Arie Shoshani:
Parallel membership queries on very large scientific data sets using bitmap indexes. Concurr. Comput. Pract. Exp. 31(15) (2019) - [j6]Babak Behzad, Surendra Byna, Prabhat, Marc Snir:
Optimizing I/O Performance of HPC Applications with Autotuning. ACM Trans. Parallel Comput. 5(4): 15:1-15:27 (2019) - [c77]Teng Wang, Suren Byna, Glenn K. Lockwood, Shane Snyder, Philip H. Carns, Sunggon Kim, Nicholas J. Wright:
A Zoom-in Analysis of I/O Logs to Detect Root Causes of I/O Performance Bottlenecks. CCGRID 2019: 102-111 - [c76]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, Hyeonsang Eom:
DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems. CCGRID 2019: 351-360 - [c75]Richard Warren, Jérome Soumagne, Jingqing Mu, Houjun Tang, Suren Byna, Bin Dong, Quincey Koziol:
Analysis in the Data Path of an Object-Centric Data Management System. HiPC 2019: 73-82 - [c74]Wei Zhang, Suren Byna, Chenxu Niu, Yong Chen:
Exploring Metadata Search Essentials for Scientific Data Management. HiPC 2019: 83-92 - [c73]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. HiPC 2019: 103-112 - [c72]Wei Zhang, Suren Byna, Houjun Tang, Brody Williams, Yong Chen:
MIQS: metadata indexing and querying service for self-describing file formats. SC 2019: 5:1-5:24 - [c71]Houjun Tang, Quincey Koziol, Suren Byna, John Mainzer, Tonglin Li:
Enabling Transparent Asynchronous I/O using Background Threads. PDSW@SC 2019: 11-19 - [c70]Megha Agarwal, Divyansh Singhvi, Preeti Malakar, Suren Byna:
Active Learning-based Automatic Tuning and Prediction of Parallel I/O Performance. PDSW@SC 2019: 20-29 - [c69]John Mainzer, Neil Fortner, Gerd Heber, Elena Pourmal, Quincey Koziol, Suren Byna, Marc F. Paterno:
Sparse Data Management in HDF5. XLOOP@SC 2019: 20-25 - [c68]Tirthak Patel, Suren Byna, Glenn K. Lockwood, Devesh Tiwari:
Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected. SC 2019: 65:1-65:13 - [c67]Glenn K. Lockwood, Shane Snyder, Suren Byna, Philip H. Carns, Nicholas J. Wright:
Understanding Data Motion in the Modern HPC Data Center. PDSW@SC 2019: 74-83 - [c66]Bin Dong, Patrick Kilian, Xiaocan Li, Fan Guo, Suren Byna, Kesheng Wu:
Terabyte-scale Particle Data Analysis: An ArrayUDF Case Study. SSDBM 2019: 202-205 - [c65]Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang:
SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis. ISC 2019: 61-80 - 2018
- [c64]Wei Zhang, Houjun Tang, Suren Byna, Yong Chen:
DART: distributed adaptive radix tree for efficient affix-based keyword search on HPC systems. PACT 2018: 24:1-24:12 - [c63]Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, Suren Byna:
ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage. IEEE BigData 2018: 211-220 - [c62]Houjun Tang, Suren Byna, Francois Tessier, Teng Wang, Bin Dong, Jingqing Mu, Quincey Koziol, Jérome Soumagne, Venkatram Vishwanath, Jialin Liu, Richard Warren:
Toward Scalable and Asynchronous Object-Centric Data Management for HPC. CCGrid 2018: 113-122 - [c61]Teng Wang, Suren Byna, Bin Dong, Houjun Tang:
UniviStor: Integrated Hierarchical and Distributed Storage for HPC. CLUSTER 2018: 134-144 - [c60]Teng Wang, Shane Snyder, Glenn K. Lockwood, Philip H. Carns, Nicholas J. Wright, Suren Byna:
IOMiner: Large-Scale Analytics Framework for Gaining Knowledge from I/O Logs. CLUSTER 2018: 466-476 - [c59]Jingqing Mu, Jérome Soumagne, Houjun Tang, Suren Byna, Quincey Koziol, Richard Warren:
A Transparent Server-Managed Object Storage System for HPC. CLUSTER 2018: 477-481 - [c58]Bharti Wadhwa, Suren Byna, Ali Raza Butt:
Toward Transparent Data Management in Multi-Layer Storage Hierarchy of HPC Systems. IC2E 2018: 211-217 - [c57]Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown:
ArrayBridge: Interweaving Declarative Array Processing in SciDB with Imperative HDF5-Based Programs. ICDE 2018: 977-988 - [c56]Jialin Liu, Quincey Koziol, Gregory F. Butler, Neil Fortner, Mohamad Chaarawi, Houjun Tang, Suren Byna, Glenn K. Lockwood, Ravi Cheema, Kristy A. Kallback-Rose, Damian Hazen, Prabhat:
Evaluation of HPC Application I/O on Object Storage Systems. PDSW-DISCS@SC 2018: 24-34 - [c55]Glenn K. Lockwood, Shane Snyder, Teng Wang, Suren Byna, Philip H. Carns, Nicholas J. Wright:
A year in the life of a parallel file system. SC 2018: 74:1-74:13 - 2017
- [c54]Houjun Tang, Suren Byna, Bin Dong, Jialin Liu, Quincey Koziol:
SoMeta: Scalable Object-Centric Metadata Management for High Performance Computing. CLUSTER 2017: 359-369 - [c53]Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu:
ArrayUDF: User-Defined Scientific Data Analysis on Arrays. HPDC 2017: 53-64 - [c52]Glenn K. Lockwood, Wucherl Yoo, Suren Byna, Nicholas J. Wright, Shane Snyder, Kevin Harms, Zachary Nault, Philip H. Carns:
UMAMI: a recipe for generating meaningful metrics through holistic I/O performance analysis. PDSW-DISCS@SC 2017: 55-60 - [i3]Haoyuan Xing, Sofoklis Floratos, Spyros Blanas, Suren Byna, Prabhat, Kesheng Wu, Paul Brown:
ArrayBridge: Interweaving declarative array processing with high-performance computing. CoRR abs/1702.08327 (2017) - 2016
- [c51]Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova:
Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications. IEEE BigData 2016: 1359-1366 - [c50]Wenzhao Zhang, Houjun Tang, Steve Harenberg, Surendra Byna, Xiaocheng Zou, Dharshi Devendran, Daniel F. Martin, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F. Samatova:
AMRZone: A Runtime AMR Data Sharing Framework for Scientific Applications. CCGrid 2016: 116-125 - [c49]Houjun Tang, Surendra Byna, Steve Harenberg, Xiaocheng Zou, Wenzhao Zhang, Kesheng Wu, Bin Dong, Oliver Rübel, Kristofer E. Bouchard, Scott Klasky, Nagiza F. Samatova:
Usage Pattern-Driven Dynamic Data Layout Reorganization. CCGrid 2016: 356-365 - [c48]Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, Noel Keen:
Data Elevator: Low-Contention Data Movement in Hierarchical Storage System. HiPC 2016: 152-161 - [c47]Bin Dong, Surendra Byna, Kesheng Wu:
SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting. HPDC 2016: 57-68 - [c46]Houjun Tang, Suren Byna, Steve Harenberg, Wenzhao Zhang, Xiaocheng Zou, Daniel F. Martin, Bin Dong, Dharshi Devendran, Kesheng Wu, David Trebotich, Scott Klasky, Nagiza F. Samatova:
In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses. ICPP 2016: 406-415 - [c45]Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter J. Sadowski, Evan Racah, Surendra Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey:
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. IPDPS 2016: 494-503 - [c44]Xiaocheng Zou, David A. Boyuka II, Dhara Desai, Daniel F. Martin, Surendra Byna, Kesheng Wu:
AMR-aware in situ indexing and scalable querying. SpringSim (HPS) 2016: 26 - [i2]Md. Mostofa Ali Patwary, Nadathur Rajagopalan Satish, Narayanan Sundaram, Jialin Liu, Peter J. Sadowski, Evan Racah, Surendra Byna, Craig Tull, Wahid Bhimji, Prabhat, Pradeep Dubey:
PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures. CoRR abs/1607.08220 (2016) - 2015
- [c43]Bin Dong, Surendra Byna, Kesheng Wu:
Spatially clustered join on heterogeneous scientific data sets. IEEE BigData 2015: 371-380 - [c42]Jinoh Kim, Bin Dong, Surendra Byna, Kesheng Wu:
Security for the scientific data services framework. IEEE BigData 2015: 1871-1875 - [c41]Prabhat, Surendra Byna, Venkatram Vishwanath, Eli Dart, Michael F. Wehner, William D. Collins:
TECA: Petascale Pattern Recognition for Climate Science. CAIP (2) 2015: 426-436 - [c40]Xiaocheng Zou, Kesheng Wu, David A. Boyuka II, Daniel F. Martin, Surendra Byna, Houjun Tang, Kushal Bansal, Terry J. Ligocki, Hans Johansen, Nagiza F. Samatova:
Parallel In Situ Detection of Connected Components in Adaptive Mesh Refinement Data. CCGRID 2015: 302-312 - [c39]Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir:
Dynamic Model-Driven Parallel I/O Performance Tuning. CLUSTER 2015: 184-193 - [c38]Huong Luu, Marianne Winslett, William Gropp, Robert B. Ross, Philip H. Carns, Kevin Harms, Prabhat, Surendra Byna, Yushu Yao:
A Multiplatform Study of I/O Behavior on Petascale Supercomputers. HPDC 2015: 33-44 - [c37]Jialin Liu, Yong Chen, Surendra Byna:
Collective Computing for Scientific Big Data Analysis. ICPP Workshops 2015: 129-137 - [c36]Shane Snyder, Philip H. Carns, Robert Latham, Misbah Mubarak, Robert B. Ross, Christopher D. Carothers, Babak Behzad, Huong Vu Thanh Luu, Surendra Byna, Prabhat:
Techniques for modeling large-scale HPC I/O workloads. PMBS@SC 2015: 5:1-5:11 - [c35]Md. Mostofa Ali Patwary, Surendra Byna, Nadathur Rajagopalan Satish, Narayanan Sundaram, Zarija Lukic, Vadim Roytershteyn, Michael J. Anderson, Yushu Yao, Prabhat, Pradeep Dubey:
BD-CATS: big data clustering at trillion particle scale. SC 2015: 6:1-6:12 - [c34]Bin Dong, Surendra Byna, Kesheng Wu:
Heavy-tailed distribution of parallel I/O system response time. PDSW@SC 2015: 37-42 - [c33]Babak Behzad, Surendra Byna, Prabhat, Marc Snir:
Pattern-driven parallel I/O tuning. PDSW@SC 2015: 43-48 - [e3]Mehmet Balman, Surendra Byna, Brian L. Tierney:
Proceedings of the Fifth International Workshop on Network-Aware Data Management, NDM 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4037-3 [contents] - [i1]Spyros Blanas, Surendra Byna:
Towards Exascale Scientific Metadata Management. CoRR abs/1503.08482 (2015) - 2014
- [c32]Bin Dong, Surendra Byna, Kesheng Wu:
Parallel query evaluation as a Scientific Data Service. CLUSTER 2014: 194-202 - [c31]Babak Behzad, Surendra Byna, Stefan M. Wild, Prabhat, Marc Snir:
Improving parallel I/O autotuning with performance modeling. HPDC 2014: 253-256 - [c30]Hsuan-Te Chiu, Jerry Chi-Yuan Chou, Venkat Vishwanath, Surendra Byna, Kesheng Wu:
Simplifying index file structure to improve I/O performance of parallel indexing. ICPADS 2014: 576-583 - [c29]Jialin Liu, Surendra Byna, Bin Dong, Kesheng Wu, Yong Chen:
Model-Driven Data Layout Selection for Improving Read Performance. IPDPS Workshops 2014: 1708-1716 - [c28]Spyros Blanas, Kesheng Wu, Surendra Byna, Bin Dong, Arie Shoshani:
Parallel data analysis directly on scientific file formats. SIGMOD Conference 2014: 385-396 - [e2]Mehmet Balman, Surendra Byna, Brian L. Tierney:
Proceedings of the Fourth International Workshop on Network-Aware Data Management, NDM '14, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE 2014, ISBN 978-1-4799-7019-3 [contents] - 2013
- [c27]Jialin Liu, Surendra Byna, Yong Chen:
Segmented analysis for reducing data movement. IEEE BigData 2013: 344-349 - [c26]Bin Dong, Surendra Byna, Kesheng Wu:
Expediting scientific data analysis with reorganization of data. CLUSTER 2013: 1-8 - [c25]Babak Behzad, Joey Huchette, Huong Vu Thanh Luu, Ruth A. Aydt, Surendra Byna, Yushu Yao, Quincey Koziol, Prabhat:
A framework for auto-tuning HDF5 applications. HPDC 2013: 127-128 - [c24]Bin Dong, Surendra Byna, Kesheng Wu:
SDS: a framework for scientific data services. PDSW@SC 2013: 27-32 - [c23]Babak Behzad, Huong Vu Thanh Luu, Joseph Huchette, Surendra Byna, Prabhat, Ruth A. Aydt, Quincey Koziol, Marc Snir:
Taming parallel I/O complexity with auto-tuning. SC 2013: 68:1-68:12 - [c22]Kuan-Wu Lin, Surendra Byna, Jerry Chi-Yuan Chou, Kesheng Wu:
Optimizing fastquery performance on lustre file system. SSDBM 2013: 29:1-29:12 - [c21]E. Wes Bethel, Prabhat, Surendra Byna, Oliver Rübel, K. John Wu, Michael F. Wehner:
Why high performance visual data analytics is both relevant and difficult. Visualization and Data Analysis 2013: 86540B - [e1]Mehmet Balman, Surendra Byna, Brian L. Tierney:
Proceedings of the Third International Workshop on Network-Aware Data Management, NDM 2013, Denver, Colorado, USA, November 17-21, 2013. ACM 2013, ISBN 978-1-4503-2522-6 [contents] - 2012
- [c20]Yanlong Yin, Surendra Byna, Huaiming Song, Xian-He Sun, Rajeev Thakur:
Boosting Application-Specific Parallel I/O Optimization Using IOSIG. CCGRID 2012: 196-203 - [c19]Surendra Byna, Jerry Chi-Yuan Chou, Oliver Rübel, Prabhat, Homa Karimabadi, William S. Daughton, Vadim Roytershteyn, E. Wes Bethel, Mark Howison, Ke-Jou Hsu, Kuan-Wu Lin, Arie Shoshani, Andrew Uselton, Kesheng Wu:
Parallel I/O, analysis, and visualization of a trillion particle simulation. SC 2012: 59 - [c18]Babak Behzad, Joey Huchette, Huong Luu, Ruth A. Aydt, Quincey Koziol, Prabhat, Surendra Byna, Mohamad Chaarawi, Yushu Yao:
Abstract: Auto-Tuning of Parallel IO Parameters for HDF5 Applications. SC Companion 2012: 1430 - [c17]Prabhat, Oliver Rübel, Surendra Byna, Kesheng Wu, Fuyu Li, Michael F. Wehner, Wes Bethel:
TECA: A Parallel Toolkit for Extreme Climate Analysis. ICCS 2012: 866-876 - 2011
- [j5]Surendra Byna, Xian-He Sun:
Special issue on Data Intensive Computing. J. Parallel Distributed Comput. 71(2): 143-144 (2011) - [c16]Dong Li, Surendra Byna, Srimat T. Chakradhar:
Energy-Aware Workload Consolidation on GPU. ICPP Workshops 2011: 389-398 - 2010
- [c15]Surendra Byna, Jiayuan Meng, Anand Raghunathan, Srimat T. Chakradhar, Srihari Cadambi:
Best-effort semantic document search on GPUs. GPGPU 2010: 86-93 - [c14]Jiayuan Meng, Anand Raghunathan, Srimat T. Chakradhar, Surendra Byna:
Exploiting the forgiving nature of applications for scalable parallel execution. IPDPS 2010: 1-12 - [c13]Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat T. Chakradhar:
Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory. SPAA 2010: 82-91
2000 – 2009
- 2009
- [j4]Surendra Byna, Yong Chen, Xian-He Sun:
Taxonomy of Data Prefetching for Multicore Processors. J. Comput. Sci. Technol. 24(3): 405-417 (2009) - [j3]Surendra Byna, Xian-He Sun:
Special Issue of the Journal of Parallel and Distributed Computing: Data-Intensive Computing. J. Parallel Distributed Comput. 69(11): 937 (2009) - [c12]Xian-He Sun, Surendra Byna, Donald J. Holmgren:
Modeling Data Access Contention in Multicore Architectures. ICPADS 2009: 213-219 - [c11]Zhibin Fang, Xian-He Sun, Yong Chen, Surendra Byna:
Core-aware memory access scheduling schemes. IPDPS 2009: 1-12 - 2008
- [c10]Yong Chen, Surendra Byna, Xian-He Sun, Rajeev Thakur, William Gropp:
2008 International Conference on Parallel Processing September 8-12, 2008 Portland, Oregon Exploring Parallel I/O Concurrency with Speculative Prefetching. ICPP 2008: 422-429 - [c9]Surendra Byna, Yong Chen, Xian-He Sun:
A Taxonomy of Data Prefetching Mechanisms. ISPAN 2008: 19-24 - [c8]Yong Chen, Surendra Byna, Xian-He Sun, Rajeev Thakur, William Gropp:
Hiding I/O latency with pre-execution prefetching for parallel applications. SC 2008: 40 - [c7]Surendra Byna, Yong Chen, Xian-He Sun, Rajeev Thakur, William Gropp:
Parallel I/O prefetching using MPI file caching and I/O signatures. SC 2008: 44 - 2007
- [j2]Xian-He Sun, Surendra Byna, Yong Chen:
Server-Based Data Push Architecture for Multi-Processor Environments. J. Comput. Sci. Technol. 22(5): 641-652 (2007) - [c6]Xian-He Sun, Surendra Byna, Yong Chen:
Improving Data Access Performance with Server Push Architecture. IPDPS 2007: 1-6 - [c5]Yong Chen, Surendra Byna, Xian-He Sun:
Data access history cache and associated data prefetching mechanisms. SC 2007: 21 - 2006
- [c4]Surendra Byna, Xian-He Sun, Ryan Nakhoul:
Memory Servers: A Scope of SOA for High-End Computing. IEEE SCC 2006: 265-268 - [c3]Surendra Byna, Xian-He Sun, Rajeev Thakur, William Gropp:
Automatic Memory Optimizations for Improving MPI Derived Datatype Performance. PVM/MPI 2006: 238-246 - 2005
- [j1]Surendra Byna, Kirk W. Cameron, Xian-He Sun:
Isolating Costs in Shared Memory Communication Buffering. Parallel Process. Lett. 15(4): 357-366 (2005) - 2004
- [c2]Surendra Byna, Xian-He Sun, William Gropp, Rajeev Thakur:
Predicting memory-access cost based on data-access patterns. CLUSTER 2004: 327-336 - 2003
- [c1]Surendra Byna, William D. Gropp, Xian-He Sun, Rajeev Thakur:
Improving the Performance of MPI Derived Datatypes by Optimizing Memory-Access Cost. CLUSTER 2003: 412-419
Coauthor Index
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