Hongbo LI [李红波]


hongbo.li.cs@gmail.com
Department of Computer Science & Engineering
University of California, Riverside




I am a Software Engineer III at TuSimple in San Diego, CA. My broad research area is high-performance computing (HPC). My main research focus is the robustness of parallel and distributed applications. Specifically, my interest include automated software testing, system monitoring, parallel programming model, algorithm-based fault tolerance, and robotics middleware. I received my Ph.D. degree in Computer Science from the University of California, Riverside, under the supervision of Prof. Rajiv Gupta and Prof. Zizhong Chen. Earlier I obtained my B.S. and M.S. degree from Ningxia University in Yinchuan, China.

I decided to move to San Francisco Bay Area in January, 2020 to start a new journey. I will be open to challenging software engineering opportunities in areas, including but not limited to, parallel and distributed system, robotics system, and software testing. Please feel free to reach out!!




Publications


Refereed Conferences & Workshops


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
The 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Denver, Colorado, USA, Nov. 2019.
CC'19 Efficient Concolic Testing of MPI Applications
Hongbo Li, Zizhong Chen, and Rajiv Gupta
The 28th International Conference on Compiler Construction,
pages 193-204, Washington DC, Feb. 2019.
[Paper] [Presentation] [Code]
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
The 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Article No. 68, 12 pages, Dallas, Texas, USA, November 2018.
IPDPS'18 COMPI: Concolic Testing for MPI Applications
Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, and Rajiv Gupta
The 32nd IEEE International Parallel and Distributed Processing Symposium,
pages 865-874, Vancouver, British Columbia, Canada, May 2018.
[Paper] [Presentation] [Code]
HIPS'18 Non-Intrusively Avoiding Scaling Problems in and out of MPI Collectives
Hongbo Li, Zizhong Chen, Rajiv Gupta, and Min Xie
The 23rd International Workshop on High-Level Parallel Programming Models and Supportive Environments,
pages 415-424, in IEEE IPDPSW Proceedings, Vancouver, British Columbia, Canada, May 2018.
[Paper] [Presentation]
SC'17 ParaStack: Efficient Hang Detection for MPI Programs at Large Scale
Hongbo Li, Zizhong Chen, and Rajiv Gupta
The 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Article No. 63, 12 pages, Denver, Colorado, November 2017.
[Paper] [Presentation]
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, and Zizhong Chen
The 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
Article No. 30, 12 pages, Denver, Colorado, November 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, and Zizhong Chen
The 28th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis,
pages 667-677, Salt Lake City, Utah, November 2016. *Authors contributed equally.

Posters

IPDPS'18 Correctness Support for MPI Applications
Hongbo Li, Zizhong Chen, and Rajiv Gupta
PhD Forum in IPDPS, Vancouver, British Columbia, Canada, May 2018.
[Abstract] [Poster]