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OpSparse

Source code of the paper "OpSparse: a Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs"

Install / Use

/learn @lorentzbf/OpSparse
About this skill

Quality Score

0/100

Supported Platforms

Zed

README

The Source Code of OpSparse

This repository contain the source code of OpSparse, and part of the source code from cuSPARSE, nsparse, and spECK.

Tested evironment

CUDA 11.2, NVIDIA Tesla V100 GPU, Ubuntu 18.04 LTS

Get started

1 Execute $> bash download_matrix.sh in the current directory to download the matrix webbase-1M into matrix/suite_sparse directory

2 For detailed execution instruction, refer the readme.md in the opsparse, nsparse, and speck sub-directory

Bibtex

@ARTICLE{9851653,
  author={Du, Zhaoyang and Guan, Yijin and Guan, Tianchan and Niu, Dimin and Huang, Linyong and Zheng, Hongzhong and Xie, Yuan},
  journal={IEEE Access}, 
  title={OpSparse: A Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs}, 
  year={2022},
  volume={10},
  number={},
  pages={85960-85974},
  doi={10.1109/ACCESS.2022.3196940}}
View on GitHub
GitHub Stars16
CategoryDevelopment
Updated29d ago
Forks3

Languages

Cuda

Security Score

95/100

Audited on Mar 9, 2026

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