OpSparse: A Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs
Sparse general matrix multiplication (SpGEMM) is an important and expensive computation primitive in many real-world applications. Due to SpGEMM’s inherent irregularity and the vast diversity of its input matrices, developing high-performance SpGEMM implementation on modern processors suc...
Main Authors: | Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Linyong Huang, Hongzhong Zheng, Yuan Xie |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9851653/ |
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