Genghan Zhang (张庚瀚)


I’m a first-year Ph.D. student in Stanford University Department of Computer Science advised by Professor Kunle Olukotun. I was also privileged to work with Professor Fredrik Kjolstad and Professor Azalia Mirhoseini.

I graduated from Tsinghua University in 2023 with a degree in Eletronic Engineering. At Tsinghua, I was fortunate enough to do research at NICS-EFC Lab and IDEAL Lab.

Research: My research interests lie in better programming models and systems for domain-specific architectures. I have been exploring the formulation, exploration, and optimization of tensor algebra design space.

Here is my CV. This site was last updated on April 4th, 2024.


Apr 1, 2024 Our paper “Compilation of Modular and General Sparse Workspaces” was accepted by PLDI 2024!
Nov 12, 2022 We built a frontend for Canvas to demonstrate Kernel Architecture Search. Just have a try! Available at Canvas.


  1. PLDI
    Compilation of Modular and General Sparse Workspaces
    Genghan ZhangOlivia Hsu, and Fredrik Kjolstad
  2. GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
    Zhongming YuGenghan ZhangHanxian HuangXin Chen, and Jishen Zhao
    arXiv preprint 2024
    Sgap: towards efficient sparse tensor algebra compilation for GPU
    Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming YuGuohao DaiSitao HuangYuan WenPavlos Petoumenos, and Yu Wang
    CCF Transactions on High Performance Computing 2023
  4. MLSys
    HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs
    Proceedings of Machine Learning and Systems 2023
  5. Canvas: End-to-End Kernel Architecture Search in Neural Networks
    Chenggang ZhaoGenghan Zhang, and Mingyu Gao
    arXiv preprint 2023