Sihuan Li at UCR

Sihuan Li

459 Winston Chung Hall

Department of Computer Science and Engineering

University of California, Riverside

I was a Ph.D. student in Computer Science and Engineering department at UC, Riverside starting from 2015 to 2020. My advisor is Prof. Zizhong Chen. During my PhD studies, I also did a long-term internship advised by Dr. Sheng Di and Dr. Franck Cappello at Argonne National Laboratory. I hold a B.S. degree majored in math awarded by a beautiful university, Huazhong University of Science and Technology, in China.

My broad research area is High Performance Computing (HPC). Specifically, I am focusing on improving the parallel I/O performance by lossy compression for scientific simulation and hardening the resilience of sorting algorithms by ABFT (Algorithm Based Fault Tolerance) for large scale supercomputers.

I graduated with my doctoral degree in December, 2020 and am now a research scientist at Facebook.

Publications:

[BigData'22] Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models.

Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen.Proceedings of the 2022 IEEE International Conference on Big Data (Big Data)Osaka, Japan, December 2022

[SC'21] Resilient Error-bounded Lossy Compressor for Data Transfer.

Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello.Proceedings of the 33rd ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.St. Louis, MO, November 2021

[Thesis] Designing Efficient and Resilient Lossy Compressors for Large-Scale Scientific Computing.

Author: Sihuan Li, Advisor: Zizhong Chen

[Cluster'20] Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.

Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello.Proceedings of the 22nd IEEE International Conference on Cluster Computing.Kobe, Japan, September 2020

[IJHPCA] Use cases of lossy compression for floating-point data in scientific data sets.

Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali M. Gok, Dingwen Tao, Chun Hong Yoon , Xin-Chuan Wu, Yuri Alexeev, Federic T. ChongThe International Journal of High Performance Computing Applications (IJHPCA), published July, 2019

[SC'19] FT-iSort: Efficient Fault Tolerance for Introsort.

Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, and Zizhong Chen.Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.Denver, CO, November 2019

[SC'19] Significantly Improving Lossy Compression Quality based on An Optimized Hybrid Prediction Model.

Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello.Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.Denver, CO, November 2019

[ICS'19] TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs.

Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, and Zizhong Chen.Proceedings of the 33rd ACM International Conference on Supercomputing.Phoenix, AZ, 2019.

[BigData'18] Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data.

Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen and Franck Cappello.Proceedings of the 2018 IEEE International Conference on Big Data.Seattle, WA, December 2018.

[BigData'18] Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.

Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, and Franck Cappello.Proceedings of the 2018 IEEE International Conference on Big Data.Seattle, WA, December 2018.

[SC'18] Fault Tolerant One-sided Matrix Decompositions on Heterogeneous Systems with GPUs.

Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, and Zizhong Chen.Proceedings of the 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.Dallas, TX, Nov 2018.

[IPDPS'18] COMPI: Concolic Testing for MPI Applications.

Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen and Rajiv Gupta.Proceedings of the 32nd IEEE International Parallel and Distributed Processing Symposium.Vancouver, British Columbia, Canada, May 2018.

[SC'17] Correcting Soft Errors Online in Fast Fourier Transform.

Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, and Zizhong Chen.Proceedings of the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.Denver, CO, Nov 2017.

[SC'16] GreenLA: Green Linear Algebra Software for GPU-Accelerated Heterogeneous Computing.

Jieyang Chen*, Li Tan*, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi Bhuyan, and Zizhong Chen.Proceedings of the 28th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and AnalysisSalt Lake City, UT, Nov 2016. *Authors contributed equally.

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