Jianhua Gao (高建花)

Jianhua Gao (高建花)

postdoc in AI@BNU, expert in parallel and high performance computing

Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms

Published in International Conference on Parallel and Distributed Computing: Applications and Technologies (PDCAT), 2021

Recommended citation: Senhao Shao, Yizhuo Wang, Weixing Ji, Jianhua Gao. (2022). "Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms." International Conference on Parallel and Distributed Computing: Applications and Technologies (PDCAT). 223–236. https://link.springer.com/chapter/10.1007/978-3-030-96772-7_21

This paper proposes a CPU-GPU heterogenous implementation for the Winograd algorithm. Recommended citation: Senhao Shao, Yizhuo Wang, Weixing Ji, Jianhua Gao. (2022). "Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms." International Conference on Parallel and Distributed Computing: Applications and Technologies (PDCAT). 223–236.