Zizhong (Jeffrey) Chen

Professor

Department of Computer Science and Engineering
University of California, Riverside
900 University Avenue, Riverside, CA 92521

Office:    422 Winston Chung Hall
Telephone: +1 (951) 827 2403
Email:     chen@cs.ucr.edu

Home | Teaching | Publications | Service | Research Group

UCR ranks #6 in high performance computing in USA by CSRankings.
UCR ranks #28 combining all areas of computer science by CSRankings.
TOP researchers in high performance computing https://nebelwelt.net/pubstats/top-authors-sys_hpc.html.

Biographical Sketch

    Zizhong (Jeffrey) Chen is a professor in the Department of Computer Science and Engineering at the University of California, Riverside. He is interested in high performance computing, GPU programming, distributed machine learning, and big data analytics. Collaborating with ByteDance, his group has helped to develop ByteTransformer - a GPU-based high performance Transformer that powers all of ByteDance's in-house search businesses, including TikTok, Douyin, Xigua Video, Magellan, and Toutiao Search Portal, serving billions of daily active users worldwide. He has published over 150 papers with many in highly competitive conferences and journals such as SC, HPDC, ICS, SIGMOD, ICDE, PPoPP, IPDPS, TPDS, TC, TKDE, TPAMI, SIMAX, and SISC. He received a CAREER Award from the U.S. National Science Foundation and Best Paper Awards/Finalists from the IEEE International Parallel & Distributed Processing Symposium (IPDPS'23), the International Conference on Supercomputing (ICS'23), the IEEE International Conference on Cluster Computing (Cluster'18), the IEEE International Parallel & Distributed Processing Symposium (IPDPS'10) and the International Supercomputing Conference (ISC'05). Dr. Chen is a Senior Member of the IEEE and a Life Member of the ACM. He currently serves as Subject Area Editor for Elsevier Parallel Computing journal and he was Associate Editor for IEEE Transactions on Parallel and Distributed Systems from 2015-2019.

Ph.D. Students

    Current Ph.D. Students:

  1. Shixun Wu (BS from Peking University and MS from Columbia University)
  2. Zizhe Jian (BS from University of Science and Technology of China)
  3. Jiajun Huang (BS from University of Electronic Science and Technology of China)
  4. Huangliang Dai (BS from University of Electronic Science and Technology of China)
  5. Elisabeth Giem (BS from UC Riverside and MS from Rice University)
  6. Giovanni Rivera (BS from California State University Dominguez Hills)
  7. Haiyang Hu (BS from Beijing Normal University)
  8. Yue Zhu (BS from Peking University)

    Past Ph.D. Students

    Academia:
  9. Jinyang Liu, Ph.D. 2024 (BS in Math from Peking University), Assistant Professor - University of Houston
  10. Kai Zhao, Ph.D. 2022 (BS in CS from Peiking University), Assistant Professor - Florida State University
  11. Baiyun Chen, Ph.D. 2022 (BE in MIS from Zhongnan University of Economics and Law), Assistant Professor - Tuskegee University
  12. Jieyang Chen, Ph.D. 2019 (BS in CS from Beijing University of Technology), Assistant Professor - University of Oregon
  13. Xin Liang, Ph.D. 2019 (BS in CS&Math from Peiking University), Assistant Professor - University of Kentucky (IEEE TCHPC Early Career Researchers Award 2024)
  14. Dingwen Tao, Ph.D. 2018 (BS in Math from USTC), Associate Professor - Indiana University (IEEE TCHPC Early Career Researchers Award 2020, NSF CAREER Award 2023)
  15. Panruo Wu, Ph.D. 2016 (BS in Math from USTC), Associate Professor - University of Houston (NSF CAREER Award, 2022)
  16. Christer Karlsson, Ph.D. 2012 (BS in CS from University of Wyoming), Associate Professor - South Dakota School of Mines and Technology

    Industry:
  17. Yujia Zhai, Ph.D. 2023 (BS in Chemistry from USTC), Software Engineer for Deep Learning Library - NVIDIA
  18. Kaiming Ouyang, Ph.D. 2022 (BE in EE from UESTC), Software Engineer - NVIDIA
  19. Sihuan Li, Ph.D. 2020 (BS in Math from HUST), Research Scientist - Facebook
  20. Hongbo Li, Ph.D. 2018 (BS in CS from Ningxia University), Senior Robotics Software Engineer - Tesla
  21. Li Tan, Ph.D. 2015 (BS in CS from ECNU) , Product Manager II Lead, Azure HPC+AI - Microsoft
  22. Teresa Davies, Ph.D. 2014 (BS in CS from Colorado School Mines), Kinnami Software Corporation
  23. Doug Hakkarinen, Ph.D. 2013 (BS in Biology&CS from University of Colorado Boulder), Director of Data Engineering - ConocoPhillips

High School Students

    Current High School Students:

  1. Vincent Tran (Portola High School, USACO Platinum)

Selected Publications (with My Students Underlined, Full List at Google Scholar >>>)

SC'24 Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello,
High-ratio Scientific Lossy Compression on GPUs with Optimized Multi-level Interpolations,
IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2024),
Atlanta, Georgia, USA, November 17 - 22, 2024.
SC'24 Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur,
hZCC: Accelerating Collective Communication with Co-designed Operation-supported Compression,
IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2024),
Atlanta, Georgia, USA, November 17 - 22, 2024.
ICS'24 Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur,
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters,
Proceedings of THE 38th ACM International Conference on Supercomputing,,
Kyoto Japan June 4 - 7, 2024.
SIGMOD'24 Jinyang Liu , Sheng Di, Kai Zhao, Xin Liang, Sian Jin , Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, and Franck Cappello .
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation,
The 2024 ACM International Conference on Management of Data,,
Santiago, Chile, on June 9 - June 15, 2024.
IPDPS'24 Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction,
Proceedings of the 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS'24),
San Francisco, California, USA, May 27-21, 2024.
IPDPS'24 Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur,
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression,
Proceedings of the 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS'24),
San Francisco, California, USA, May 27-21, 2024.
IPDPS'23
(Best Paper Award) 		Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, and Yibo Zhu,
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs,
Proceedings of the 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS'23),
St. Petersburg, Florida USA, May 15-19, 2023.
This research and the associated software are currently used to power all of ByteDance's in-house search businesses, including TikTok, Douyin, Xigua Video, Magellan, and Toutiao Search Portal, serving over billions of daily active users worldwide.

ICS'23
(Best Paper Finalist) 		Jinyang Liu, Sheng Di, Jieyang Chen, Xin Liang, Zizhong Chen, and Franck Cappello.
FZ: A flexible auto-tuned modular error-bounded compression framework for scientific data,
Proceedings of THE 37th ACM International Conference on Supercomputing,,
Orlando, FL, June 21-23, 2023
ICS'23 Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang,Zizhe Jian, Bryan M. Wong, and Zizhong Chen.
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs,
Proceedings of THE 37th ACM International Conference on Supercomputing,,
Orlando, FL, June 21-23, 2023
PPoPP'23 Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi Bhuyan, and Zizhong Chen
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems,
Proceedings of the 28th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'23),
Montreal, Canada, February 25 - March 1, 2023.
SC'22 Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello,
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets,
IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2022),
Dallas, Texas, USA, November 14 - 19, 2022.
IPDPS'22 Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, and Alexander Lyashevsky,
Accelerating Encrypted Computing on Intel GPUs,
Proceedings of the 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS'22),
Lyon, France, May 30 - June 3, 2022.
ICDE'22 Kai Zhao, Sheng Di, Danny Perez, Franck Cappello, and Zizhong Chen,
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics Simulations,
Proceedings of the 38th IEEE International Conference on Data Engineering,
Virtual Event, May 9 - 12, 2022.
TPAMI'22 Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, and Zizhong Chen,
Ball k-Means: Fast Adaptive Clustering With No Bounds,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
Volume: 44, Issue: 1, January 2022.
ICDE'21 Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, and Franck Cappello,
Optimizing Error-Bounded Lossy Compression for Scienti?c Data by Dynamic Spline Interpolation,
Proceedings of the 37th IEEE International Conference on Data Engineering,
Chania, Crete, Greece, Apr 19 - 22, 2021.
TPDS'21 Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, and Zizhong Chen
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks,
IEEE Transactions on Parallel and Distributed Systems,
Volume: 32, Issue: 7, July 2021.
SC'21 Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello
Resilient error-bounded lossy compressor for data transfer,
Proceedings of the 33th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
St. Louis, MO, USA. November 13 - 29, 2021. Acceptance Rate: 23.6% (86/365)
ICS'21 Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
FT-BLAS: a high performance BLAS implementation with online fault tolerance,
Proceedings of THE 35th ACM International Conference on Supercomputing,
Virtual Event, June, 2021. Acceptance Rate: 24%( 38/157)
HPDC'20 Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, and Franck Cappello
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization,
Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing,
Stockholm, Sweden, June 23 - 26, 2020. Acceptance Rate: 22.5% (16/71)
SC'20 Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, and Pavan Balaji
CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication,
Proceedings of the 32nd ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Virtual Event, November 9-19, 2021. Acceptance Rate: 22%( 85/380)
SC'19 Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, and Zizhong Chen
FT-iSort: Efficient Fault Tolerance for Introsort,
Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Denver, Colorado, USA, Nov 17 - 22, 2019. Acceptance Rate: 20.9% (72/344).
SC'19 Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, and Franck Cappello
Significantly Improving Lossy Compression Quality based on An Optimized Hybrid Prediction Model,
Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Denver, Colorado, USA, Nov 17 - 22, 2019. Acceptance Rate: 20.9% (72/344).
ICS'19 Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, and Zizhong Chen
TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs,
Proceedings of the 33rd ACM International Conference on Supercomputing,
Phoenix, AZ, USA, June 26 - 28, 2019. Acceptance Rate: 23.3% (45/193)
ICS'19 Hadi Zamani Sabzi, Yuanlai Liu, Devashree Tripathy, Laxmi Bhuyan, and Zizhong Chen
GreenMM: Energy-Efficient GPU Matrix Multiplication Through Undervolting,
Proceedings of the 33rd ACM International Conference on Supercomputing,
Phoenix, AZ, USA, June 26 - 28, 2019. Acceptance Rate: 23.3% (45/193)
SC'18 Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, and Zizhong Chen
Fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs,
Proceedings of the 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Dallas, Texas, USA, Nov 11 - 16, 2018. Acceptance Rate: 19.1% (55/288).
HPDC'18 Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, and Franck Cappello
Improving Performance of Iterative Methods by Lossy Checkponting,
Proceedings of the 27th ACM International Symposium on High-Performance Parallel and Distributed Computing,
Tempe, AZ, United States, June 11-15, 2018. Acceptance Rate: 18.2% (22/121).
HPDC'18 Yuankun Fu, Feng Li, Fengguang Song, and Zizhong Chen
Performance Analysis and Optimization of In-situ Integration of Simulation with Data Analysis: Zipping Applications Up,
Proceedings of the 27th ACM International Symposium on High-Performance Parallel and Distributed Computing,
Tempe, AZ, United States, June 11-15, 2018. Acceptance Rate: 18.2% (22/121).
ICDCS'18 Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis Vernon, Allen Mcpherson, Li-Ta Lo, Zizhong Chen, Patricia Grubel, and James Ahrens
BeeFlow : a Workflow Management System for In situ Processing Across HPC and Cloud Systems,
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems,
Vienna, Austria, July 2-5, 2018. Acceptance Rate: 20.6% (78/378).
IPDPS'18 Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, and Rajiv Gupta
COMPI: Concolic Testing for MPI Applications,
Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium,
Vancouver, British Columbia, Canada, May 21-25, 2018. Acceptance Rate: 24.5% (113/461).
SC'17 Hongbo Li, Zizhong Chen, and Rajiv Gupta
ParaStack: Efficient Hang Detection for MPI Programs at Large Scale,
Proceedings of the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Denver, Colorado, USA, Nov 12 - 17, 2017. Acceptance Rate: 18.6% (61/327).
SC'17 Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, and Zizhong Chen
Correcting Soft Errors Online in Fast Fourier Transform,
Proceedings of the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Denver, Colorado, USA, Nov 12 - 17, 2017. Acceptance Rate: 18.6% (61/327).
PPoPP'17 Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Ouyang Kaiming, Sihuan Li, and Zizhong Chen
Silent Data Corruption Resilient Two-sided Matrix Factorizations,
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,
Austin, Texas, USA, February 4-8 2017. Acceptance Rate: 21.9% (29/132).
IPDPS'17 Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization,
Proceedings of the 31st IEEE International Parallel & Distributed Processing Symposium,
Orlando, Florida USA, May 29 - June 2, 2017. Acceptance Rate: 23%.
SC'16 Jieyang Chen*, Li Tan*, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi Bhuyan, and Zizhong Chen
GreenLA: Green Linear Algebra Software for GPU-Accelerated Heterogeneous Computing,
Proceedings of the 28th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Salt Lake City, Utah, USA, Nov 13- 18, 2016. Acceptance Rate: 18.4% (82/446). *Authors contributed equally.
HPDC'16 Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, and Zizhong Chen
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra,
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing,
Kyoto, JAPAN, May 31- June 4, 2016. Acceptance Rate: 15.5% (20/129).
HPDC'16 Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal
Algorithm-Directed Data Placement in Hybrid Memory,
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing,
Kyoto, JAPAN, May 31- June 4, 2016. Acceptance Rate: 15.5% (20/129).
HPDC'16 Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Zheng Eddy Zhang, Darren Kerbyson, and Zizhong Chen
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods,
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing,
Kyoto, JAPAN, May 31- June 4, 2016. Acceptance Rate: 15.5% (20/129).
IPDPS'16 Jieyang Chen, Xin Liang, and Zizhong Chen
Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs,
Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium,
Chicago, Illinois, USA, May 23-27, 2016. Acceptance Rate: 22.98% (114/496).
TACO'16 Li Tan, Zizhong Chen, and Suaiwen Leon Song
Scalable Energy Efficiency with Resilience for High Performance Computing Systems: A Quantitative Methodology,
ACM Transactions on Architecture and Code Optimization,
Volume 12 Issue 4, January 2016
IPDPS'15 Li Tan, Shuaiwen Song, Panruo Wu, Zizhong Chen, Rong Ge, and Darren Kerbyson
Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing,
Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium,
Hyderabad, India, May 25-29, 2015. Acceptance Rate: 21.77% (108/496).
TPDS'15 Doug Hakkarinen, Panruo Wu, and Zizhong Chen
Fail-Stop Failure Algorithm-Based Fault Tolerance for Cholesky Decomposition,
IEEE Transactions on Parallel and Distributed Systems,
Volume: 26, Issue: 5, Page 1323-1335,May, 2015.
PARCO'14 Li Tan, Shashank Kothapalli, Longxiang Chen, Omar Hussaini, Ryan Bissiri, and Zizhong Chen
A Survey of Power and Energy Efficient Techniques for High Performance Numerical Linear Algebra Operations,
Parallel Computing,
Vol. 40, No. 10, pp. 559-573, Dec. 2014.
HPDC'14 Panruo Wu and Zizhong Chen
FT-ScaLAPACK: Correcting Soft Errors On-Line for ScaLAPACK Cholesky, QR, and LU Factorization Routines,
Proceedings of the 23rd ACM International Symposium on High-Performance Parallel and Distributed Computing,
Vancouver, Canada, June 23-27, 2014. Acceptance Rate: 16.2% (21/130).
SC'13      Dong Li, Zizhong Chen, Panruo Wu, and Jeffrey Vetter
Rethinking Algorithm-Based Fault Tolerance with a Cooperative Software-Hardware Approach,
Proceedings of the 25th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Denver, CO, November 17-22, 2013. Acceptance Rate: 19.7% (90/457).
TC'13 Doug Hakkarinen and Zizhong Chen
Multi-Level Diskless Checkpointing,
IEEE Transactions on Computers,
Vol. 62, No. 4, Page 772-783, April, 2013.
HPDC'13 Teresa Davies and Zizhong Chen
Correcting Soft Errors Online in LU Factorization,
Proceedings of the 22nd ACM International Symposium on High-Performance Parallel and Distributed Computing,
New York City, NY, USA. June 17-21, 2013. Acceptance Rate: 15.3% (20/131).
PPoPP'13 Zizhong Chen
Online-ABFT: An Online Algorithm Based Fault Tolerance Scheme for Soft Error Detection in Iterative Methods,
Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,
Shenzhen, China, February 23-27, 2013. Acceptance Rate: 17.8% (26/146).
ICS'11 Teresa Davies, Christer Karlsson, Hui Liu, Chong Ding, and Zizhong Chen
High Performance Linpack Benchmark: A Fault Tolerant Implementation without Checkpointing,
Proceedings of the 25th ACM International Conference on Supercomputing,
Tucson, Arizona, May 31 - June 4, 2011. Acceptance Rate: 21.7% (35/161).
HPDC'11 Zizhong Chen
Algorithm-Based Recovery for Iterative Methods without Checkpointing,
Proceedings of the 20th ACM International Symposium on High-Performance Parallel and Distributed Computing,
San Jose, California, June 8-11, 2011. Acceptance Rate: 12.9% (22/170).
IPDPS'10 Doug Hakkarinen and Zizhong Chen
Algorithmic Cholesky Factorization Fault Recovery,
Proceedings of the 24th IEEE International Parallel & Distributed Processing Symposium,
Atlanta, GA, USA, April 19-23, 2010. Acceptance Rate: 24.1% (127/527).
SC'09 Zizhong Chen
Optimal Real Number Codes for Fault Tolerant Matrix Operations,
Proceedings of the 21st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Portland, OR, November 14-20, 2009. Acceptance Rate: 22.6% (59/261).
TC'09 Zizhong Chen and Jack Dongarra
Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing,
IEEE Transactions on Computers,
Vol. 58, No. 11, November, 2009.
TPDS'08 Zizhong Chen and Jack Dongarra
Algorithm-Based Fault Tolerance for Fail-Stop Failures,
IEEE Transactions on Parallel and Distributed Systems,
Vol. 19, No. 12, December, 2008.
IPDPS'06 Zizhong Chen and Jack Dongarra.
Algorithm-Based Checkpoint-Free Fault Tolerance for Parallel Matrix Multiplications on Volatile Resources,
Proceedings of the 20th IEEE International Parallel & Distributed Processing Symposium,
Rhodes Island, Greece, April 25-29, 2006.
SIMAX'05 Zizhong Chen and Jack Dongarra.
Condition Numbers of Gaussian Random Matrices,
SIAM Journal on Matrix Analysis and Applications,
Volume 27, Number 3, Page 603-620, 2005.
PPoPP'05 Zizhong Chen, Graham E. Fagg, Edgar Gabriel, Julien Langou, Thara Angskun, George Bosilca, and Jack Dongarra.
Fault Tolerant High Performance Computing by a Coding Approach,
Proceedings of the 10th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming,
Chicago, Illinois, USA, June 15-17, 2005.
PARCO'03 Zizhong Chen, Jack Dongarra, Piotr Luszczek, and Kenneth Roche.
Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters,
Parallel Computing,
Volume 29, Number 11-12, Page 1723-1743, November-December, 2003.

Last update: Oct. 20, 2013.