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Jieyang Chen

Jieyang Chen

Jieyang ChenAssistant Professor
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4145 University Hall
(205) 975-3432

Research and Teaching Interests: High performance computing, GPU, Big data management, Big data analysis

Office Hours: By appointment

Education:

  • Ph.D., Computer Science, University of California, Riverside
  • M.S., Computer Science, University of California, Riverside
  • B.E., Beijing University of Technology, Beijing, China

Research Interests

Dr. Jieyang Chen's primary area of research is high performance computing, focusing on managing, analysis, and visualization of large scale data. In particular, he has interests in accelerating computational scientific research using a range of techniques encompassing scientific data compression, high dimensional data visualization, large-scale data management and computational accelerators. More broadly, his research interests include large data compression algorithms, parallel I/O, GPU computing, in-situ analytics and visualization, and progressive data exploration.

Scholars Profile


  • Select Publications
    • 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
    • Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, 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, Oregon, USA, May 2021.
    • Chenhao Xie, Jieyang Chen, Jesun S. Firoz, Jiajia Li, Shuaiwen Leon Song, Kevin Barker,Mark Raugas, and Ang Li. ”Fast and Scalable Sparse Triangular Solver for Multi-GPU BasedHPC Architectures.”The 50th International Conference on Parallel Processing, Chicago,Illinois, USA, Aug. 9-12, 2021
    • Jake Tronge, Jieyang Chen, Patricia Grubel, Tim Randles, Rusty Davis, Quincy Wofford,Steven Anaya, and Qiang Guan. ”BeeSwarm: Enabling Parallel Scaling Performance Measurement in Continuous Integration for HPC Applications.”36th IEEE/ACM International Conference on Automated Software Engineering, Melbourne, Australia, Nov. 15-19, 2021
    • Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, Dingwen Tao.TSM2X: High-performance tall-and-skinny matrix–matrix multiplication on GPUs.Elsevier Journal of Parallel and Distributed Computing (JPDC), Published in 2021.
    • Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, NathanDeBardeleben, Qiang Guan, Zizhong Chen.Optimizing Tall-and-skinny Matrix-Matrix Multiplication on GPUs.33rd ACM International Conference on Supercomputing(ICS), Phoenix, Arizona, USA, Jun. 26-28, 2019, Acceptance Rate: 23.3% (45/193)
    • Ang Li, Shuaiwen Leon Song, Jieyang Chen, Jiajia Li, Xu Liu, Nathan Tallent, and Kevin Barker.Evaluating Modern GPU Interconnect:PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect.IEEE Transactions on Parallel and Distributed Systems, Published in 2019
    • 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)
    • Jieyang Chen, Hongbo Li, Sihuan Li, Panruo Wu, Xin Liang, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, and Zizhong Chen. Fault Tolerant Dense Matrix Decomposition on Heterogeneous Systems with GPUs,Proceedings of the 30th ACM/IEEEInternational Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, Texas, USA, Nov. 11 - 16, 2018. Acceptance Rate: 19.1% (55/288)
    • Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel, Tim Randles, Zizhong Chen, and James Paul Ahrens. BeeFlow: A Workflow Management System for In-Situ Processing Across HPC and Cloud Systems, 38th IEEE International Conference on Distributed Computing Systems, Jul. 2 – 5, 2018, Vienna, Austria. Acceptance Rate: 20.6% (78/378)
    • 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.
    • 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.
    • 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.