Jianhua Gao (高建花)

Jianhua Gao (高建花)

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

TaiChi: A Hybrid Compression Format for Binary Sparse Matrix-Vector Multiplication on GPU

Published in IEEE Transactions on Parallel and Distributed Systems, 2022

Recommended citation: Jianhua Gao, Weixing Ji, Zhaonian Tan, Yizhuo Wang, Feng Shi. (2022). "TaiChi: A Hybrid Compression Format for Binary Sparse Matrix-Vector Multiplication on GPU." IEEE Transactions on Parallel and Distributed Systems. 33(12):3732-3745. https://ieeexplore.ieee.org/document/9763312

This paper proposes a new compression format for binary sparse matrix.

Recommended citation: Jianhua Gao, Weixing Ji, Zhaonian Tan, Yizhuo Wang, Feng Shi. (2022). "TaiChi: A Hybrid Compression Format for Binary Sparse Matrix-Vector Multiplication on GPU." IEEE Transactions on Parallel and Distributed Systems. 33(12):3732-3745.