Cunyang Wei

Cunyang Wei

ABOUT ME

I am a first-year Ph.D. student at the University of Maryland, College Park, under the supervision of Prof. Abhinav Bhatele in the Parallel Software and Systems Group. Prior to joining UMD, I completed my Master’s degree at the Institute of Computing Technology (ICT), University of Chinese Academy of Sciences, Beijing, China, in 2023, where I was advised by Prof. Haipeng Jia. During my time at ICT, I focused on irregular matrix multiplication. After graduation, I continued to collaborate with Prof. Jia on research related to accelerating LLM inference on mobile GPUs, specifically Qualcomm and ARM Mali GPUs. I have been honored with awards such as the National Scholarship of China and Outstanding Graduate of Beijing.

For additional details, please refer to his Full CV.

EDUCATION BACKGROUND

  • Ph.D. in Computer Science, University of Maryland, College Park, 09/2024 - Present
  • M. S. in Computer Technology, Institute of Computing Technology (ICT), Chinese Academy of Sciences, 09/2020 - 06/2023
  • B. S. in Mathematics and Applied Mathematics, Zhengzhou University, 09/2016 - 06/2020

PUBLICATIONS

  • Cunyang Wei, Haipeng Jia, Yunquan Zhang, Jianyu Yao, Chendi Li, Wenxuan Cao. 2024. IrGEMM: An Input-Aware Tuning Framework for Irregular GEMM on ARM and X86 CPUs. IEEE Transactions on Parallel and Distributed Systems (TPDS).
  • Luhan Wang, Haipeng Jia, Lei Xu, Cunyang Wei, Kun Li, Xianmeng Jiang, Yunquan Zhang. 2024. VNEC: A Vectorized Non-Empty Column Format for SpMV on CPUs. 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2024.
  • Cunyang Wei, Haipeng Jia, Yunquan Zhang, Liusha Xu, and Ji Qi. 2022. IATF: An Input-Aware Tuning Framework for Compact BLAS Based on ARMv8 CPUs. In 51st International Conference on Parallel Processing (ICPP), 2022.
  • Cunyang Wei, Haipeng Jia, Yunquan Zhang, Kun Li, Luhan Wang. 2022. LBBGEMM: A Load-Balanced Batch GEMM Framework on ARM CPUs. The 24th IEEE International Conference on High Performance Computing & Communications (HPCC), 2022.
  • Luhan Wang, Haipeng Jia, Yunquan Zhang, Kun Li, Cunyang Wei. 2022. EgpuIP: An Embedded GPU Accelerated Library for Image Processing. The 24th IEEE International Conference on High Performance Computing & Communications (HPCC), 2022.

HONORS AND AWARDS

  • 2023 Outstanding Graduate of Beijing, Beijing Municipal Education Commission
  • 2023 Outstanding Graduate, University of Chinese Academy of Sciences (Top 3%)
  • 2022 National Scholarship for Postgraduates, Ministry of Education of the People’s Republic of China
  • 2022 First Prize Scholarship, University of Chinese Academy of Sciences
  • 2022 Merit Student, University of Chinese Academy of Sciences
  • 2017 First Prize Scholarship, Zhengzhou University
  • 2017 Merit Student, Zhengzhou University