Short Bio

Jianqi Zhao is currently a postgraduate student at China University of Petroleum-Beijing, under the supervision of Prof. Weifeng Liu. He earned his Bachelor of Engineering degree in Computer Science and Technology in 2020 from China University of Petroleum-Beijing. He is a Student Member of both IEEE and ACM. His research focuses on the Direct Linear Solver, where he introduced a synchronization-free method into Sparse LU Factorization, and experimental results have shown that it provides higher performance. His research interests are in high-performance computing, parallel computing, and sparse matrix computation.

Publications

• [SC '23] Xu Fu, Bingbin Zhang, Tengcheng Wang, Wenhao Li, Yuechen Lu, Enxin Yi, Jianqi Zhao, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu. PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems. 36th International Conference for High Performance Computing, Networking, Storage, and Analysis. 2023. Best Paper Award. [PDF] [Slides] [DOI] [Bibtex] [Code]
• [DAC '21] Jianqi Zhao, Yao Wen, Yuchen Luo, Zhou Jin, Weifeng Liu, Zhenya Zhou. SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs. 58th ACM/IEEE Design Automation Conference. 2021. [PDF] [Slides] [DOI] [Bibtex] [Code]