7923

Sparse Matrix-Vector Multiplication on NVIDIA GPU

Hui Liu, Song Yu, Zhangxin Chen, Ben Hsieh, Lei Shao
Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, AB, Canada
International Journal of Numerical Analysis & Modeling, Series B, Volume 3, Number 1, 2012

@article{liu2012sparse,

   title={SPARSE MATRIX-VECTOR MULTIPLICATION ON NVIDIA GPU},

   author={LIU, HUI and YU, S. and CHEN, Z. and HSIEH, BEN and SHAO, LEI},

   year={2012}

}

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In this paper, we present our work on developing a new matrix format and a new sparse matrix-vector multiplication algorithm. The matrix format is HEC, which is a hybrid format. This matrix format is efficient for sparse matrix-vector multiplication and is friendly to preconditioner. Numerical experiments show that our sparse matrix-vector multiplication algorithm is efficient on GPU.
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