Sparse Matrix-Vector Multiplication on NVIDIA GPU
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}
}
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.
July 16, 2012 by hgpu
