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Jieyang Chen
Assistant Professor
Department of Computer Science
University of Oregon
Eugene, OR 97403
Email: jieyang AT uoregon DOT edu
Biography
Jieyang Chen is an assitant professor in the Department of Computer Science at the University of Oregon. He was a Computer Scientist in Computer Science and Mathematics Division at Oak Ridge National Laboratory mentored by Dr. Dave Pugmire and Dr. Scott Klasky. He received a Ph.D. degree in Computer Science from University of California, Riverside advised by Dr. Zizhong Chen in 2019. He had a research internship at Pacific Northwest National Laboratory (PNNL) mentored by Dr. Shuaiwen Song in 2018 and a long-term research internship at Los Alamos National Laboratory (LANL) in the Data Science at Scale (DSS) team mentored by Dr. Qiang Guan and Dr. James Ahrens in 2017. He received a Master degree in Computer Science at University of California, Riverside in 2014. He had an one-year exchange study at The State University of New York at Buffalo in 2011. He received a Bachelor degree in Computer Science from Beijing University of Technology in 2012.
Research Interests
- High performance computing/Cloud computing
- GPU computing
- High performance big data analytics
- Distributed machine learning
Selected Publications (Full List)
| IPDPS'25 |
Jieyang Chen, Qian Gong, Xin Liang, Qing Liu, Lipeng Wan, Yanliang Li, Norbert Podhorszki, Scott Klasky. HPDR: High-Performance Portable Scientific Data Reduction Framework, The 39th IEEE International Parallel & Distributed Processing Symposium, Milano, Italy. Jun. 2025. |
| PPoPP'25 |
Yuhang Liang, Xinyi Li, Jie Ren, Ang Li, Bo Fang, Jieyang Chen. ATTNChecker: Highly-Optimized Fault Tolerant Attention for Large Language Model Training, The 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, Las Vegas, NV. Mar. 2025.Acceptance Rate: 20.1% (38/189) |
| PPoPP'23 |
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi Bhuyan, Zizhong Chen. Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems, The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, Montreal, Canada. Feb 2023. Acceptance Rate: 23.7% (31/131) |
| IPDPS'21 |
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, NicholasThompson, Jong Youl Choi, Matthew Wolf, Todd Munson, Ian Foster, Scott Klasky. Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs, 35th IEEE International Parallel and Distributed Processing Symposium, Portland, OR. May 2021. |
| 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) |
| BigData'18 |
Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen and James Ahrens Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere, Proceedings of the 2018 IEEE International Conference on Big Data, Seattle, WA, USA, Dec 10-13, 2018. Acceptance Rate: 18.9% (98/518) |
| 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) |
| 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) |
| 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. |
| 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) |