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
Fax:       +1 (951) 827 4643
Email:     My_Last_Name AT cs.ucr.edu -

Home | Teaching | Publications | Service | Research Group

Latest News: UCR's high performance computing ranks #5 in USA by CSRankings. UCR ranks #30 combining all areas of computer science at CSRankings

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, big data analytics, and machine learning. His research has been supported by National Science Foundation, Department of Energy, Los Alamos National Laboratory, Argonne National Laboratory, Brookhaven National Laboratory, CMG Reservoir Simulation Foundation, Abu Dhabi National Oil Company, Nvidia, and Microsoft Corporation. He has published over 100 papers with many in highly competitive conferences and journals such as SC, HPDC, PPoPP, ICS, IPDPS, TPDS, TC, JPDC, PARCO, SIMAX, SISC, and IBMRD. He has received a CAREER Award from the U.S. National Science Foundation and Best Paper Awards from the International Supercomputing Conference and the IEEE International Conference on Cluster Computing. 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. Jinyang Liu (BS from Peking University and MS from Peking University)
  5. Elisabeth Giem (BS from UC Riverside and MS from Rice University)
  6. Yujia Zhai (BS from University of Science and Technology of China and MS from Duke University)

    Past Ph.D. Students:
  7. Kai Zhao (Ph.D. 2022, Assistant Professor - University of Alabama at Birmingham)
  8. Kaiming Ouyang (Ph.D. 2022, Software Engineer - NVIDIA )
  9. Sihuan Li (Ph.D. 2020, Research Scientist - Facebook)
  10. Xin Liang (Ph.D. 2019, Assistant Professor - University of Kentucky)
  11. Jieyang Chen (Ph.D. 2019, Assistant Professor - University of Alabama at Birmingham)
  12. Dingwen Tao (Ph.D. 2018, Associate Professor - Indiana University Bloomington, IEEE TCHPC Early Career Researchers Award, 2020, NSF CAREER Award 2023)
  13. Hongbo Li (Ph.D. 2018, Software Engineer - Argo AI)
  14. Panruo Wu (Ph.D. 2016, Assistant Professor - University of Houston, NSF CAREER Award, 2022)
  15. Li Tan (Ph.D. 2015, Product Manager II Lead, Azure HPC+AI - Microsoft.)
  16. Doug Hakkarinen (Ph.D. 2013, Director of Data Engineering - ConocoPhillips)
  17. Christer Karlsson (Ph.D. 2012, Associate Professor - South Dakota School of Mines and Technology)

Selected Publications (with my students underlined, Full List >>>)

IPDPS'23 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 is currently being used to power all of ByteDance's in-house search businesses, including TikTok, Douyin, Xigua Video, Magellan (an export-oriented e-commerce platform), and Toutiao Search Portal, serving over billions of daily active users worldwide.

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.
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).
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.
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).
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).
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'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).
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).
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.
JPDC'09 Qishi Wu, Jinzhu Gao, Zizhong Chen, and Mengxia Zhu
Pipelining Parallel Image Compositing and Delivery for Efficient Remote Visualization,
Journal of Parallel and Distributed Computing,
Vol. 69, No. 3, March, 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.
SISC'07 Julien Langou, Zizhong Chen, George Bosilca, and Jack Dongarra
Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,
SIAM Journal on Scientific Computing,
Vol. 30, No. 1, pp. 102-116, November, 2007.
IBMRD'06 Jack Dongarra, George Bosilca, Zizhong Chen, Victor Eijkhout, Graham Fagg, Erika Fuentes, Julien Langou, Piotr Luszczek, Jelena Pjesivac-Grbovic, Keith Seymour, Haihang You, and Satish S. Vadiyar
Self Adapting Numerical Software (SANS) Effort,
IBM Journal of Research and Development,
Volume 50, Number 2/3, Page 223-238, 2006.
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: June 16, 2019.