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 such as...

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Hlavní autoři:	Zhaoyang Du, Yijin Guan, Tianchan Guan, Dimin Niu, Linyong Huang, Hongzhong Zheng, Yuan Xie
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Access
Témata:	Sparse general matrix multiplication SpGEMM GPU high-performance computing
On-line přístup:	https://ieeexplore.ieee.org/document/9851653/
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