Yuechen Lu

Postdoc      

  yuechen.lu@cup.edu.cn

Short Bio

Yuechen Lu is a postdoctoral researcher at China University of Petroleum-Beijing. She received her PhD in December 2025 from China University of Petroleum-Beijing, under the supervision of Prof. Weifeng Liu. Her research interests include high performance computing, parallel computing, and sparse matrix computation, with a recent focus on accelerating sparse linear algebra kernels on modern CPU and GPU architectures. She has published papers in leading international conferences such as SC, PPoPP, ICPP, and CLUSTER. Her work received the SC’23 Best Paper Award and was selected as a Best Paper Nomination at SC’24.

Publications

  • [PPoPP '26] Yuechen Lu, Hongwei Zeng, Marc Casas, Weifeng Liu. Characterizing Matrix Multiplication Units across General Parallel Patterns in Scientific Computing. 31th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. 2026. [PDF] [Slides] [DOI] [Bibtex] [Code]
  • [PPoPP '26] Yuyao Niu, Yuechen Lu, Weifeng Liu, Marc Casas. DiggerBees: Depth First Search Leveraging Hierarchical Block-Level Stealing on GPUs. 31th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. 2026. [PDF] [Slides] [DOI] [Bibtex] [Code]
  • [SC '24] Yuechen Lu, Lijie Zeng, Tengcheng Wang, Xu Fu, Wenxuan Li, Helin Cheng, Dechuang Yang, Zhou Jin, Marc Casas, Weifeng Liu. AmgT: Algebraic Multigrid Solver on Tensor Cores. 37th International Conference for High Performance Computing, Networking, Storage, and Analysis. 2024. Best Paper Finalist. [PDF] [Slides] [DOI] [Bibtex] [Code]
  • [SC '23] Yuechen Lu, Weifeng Liu. DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication. 36th International Conference for High Performance Computing, Networking, Storage, and Analysis. 2023. [PDF] [Slides] [DOI] [Bibtex] [Code]
  • [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]
  • [ICPP '23] Helin Cheng, Wenxuan Li, Yuechen Lu, Weifeng Liu. HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors. 52nd International Conference on Parallel Processing. 2023. [PDF] [Slides] [DOI] [Bibtex] [Code]
  • [CLUSTER '23] Wenxuan Li, Helin Cheng, Zhengyang Lu, Yuechen Lu, Weifeng Liu. HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors. 25th IEEE International Conference on Cluster Computing. 2023. [PDF] [Slides] [DOI] [Bibtex] [Code]
  • [CCF THPC] Yuechen Lu, Yuchen Luo, Haocheng Lian, Zhou Jin, Weifeng Liu. Implementing LU and Cholesky Factorizations on Artificial Intelligence Accelerators. CCF Transactions on High Performance Computing. 2021. [PDF] [DOI] [Bibtex] [Code]