Publications

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

Published in IEEE Transactions on Parallel and Distributed Systems, 2022

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. https://ieeexplore.ieee.org/document/9763312

MMSparse: 2D Partitioning of Sparse Matrix Based on Mathematical Morphology

Published in Mathematical Morphology, 2022

This paper proposes a 2D partition of sparse matrix based on Mathematical Morphology.

Recommended citation: Zhaonian Tan, Weixing Ji, Jianhua Gao, Yizhuo Wang, Feng Shi. (2020). "MMSparse: 2D Partitioning of Sparse Matrix Based on Mathematical Morphology." Future Generation Computer Systems. 108:521-532. Future Generation Computer Systems

Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms

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

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. https://link.springer.com/chapter/10.1007/978-3-030-96772-7_21

AMF-CSR: Adaptive Multi-Row Folding of CSR for SpMV on GPU

Published in 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), 2021

This paper proposes a new GPU-based SpMV algorithm AMF-CSR.

Recommended citation: Jianhua Gao, Weixing Ji, Senhao Shao, Yizhuo Wang, Feng Shi. (2021). "AMF-CSR: Adaptive Multi-Row Folding of CSR for SpMV on GPU." 2021 IEEE 27th International Conference on Parallel and Distributed Systems. 418-425. https://ieeexplore.ieee.org/document/9763779

Cube-Based Incremental Outlier Detection for Streaming Computing

Published in Information Sciences, 2020

This paper proposes a cube-based outlier detection method CB-ILOF.

Recommended citation: Jianhua Gao, Weixing Ji, Lulu Zhang, Anmin Li, Yizhuo Wang, Zongyu Zhang. (2020). "Cube-Based Incremental Outlier Detection for Streaming Computing." Information Sciences. 517:361-376. https://doi.org/10.1016/j.ins.2019.12.060

Fast Piecewise Polynomial Fitting of Time-Series Data for Streaming Computing

Published in IEEE Access, 2020

This paper proposes a fast piecewise Polynomial Fitting method of time-series data.

Recommended citation: Jianhua Gao, Weixing Ji, Lulu Zhang, Senhao Shao, Yizhuo Wang, Feng Shi. (2020). "Fast Piecewise Polynomial Fitting of Time-Series Data for Streaming Computing." IEEE Access. 8:43764-43775. https://ieeexplore.ieee.org/abstract/document/9016024/

A Systematic Survey of General Sparse Matrix-Matrix Multiplication

Published in ACM Computing Surveys, 2020

This paper is a systematic survey of SpGEMM.

Recommended citation: Jianhua Gao, Weixing Ji, Fangli Chang, Shiyu Han, Bingxin Wei, Zeming Liu, and Yizhuo Wang. (2023). "A Systematic Survey of General Sparse Matrix-Matrix Multiplication." ACM Computing Surveys. 55(12), 244:1-36. https://doi.org/10.1145/3571157

Jianhua Gao (高建花)