TY - JOUR
T1 - Sparse Matrix-Vector Multiplication on Nvidia Gpu
AU - HUI LIU, SONG YU, ZHANGXIN CHEN, BEN HSIEH AND LEI SHAO
JO - International Journal of Numerical Analysis Modeling Series B
VL - 2
SP - 185
EP - 191
PY - 2012
DA - 2012/03
SN - 3
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/ijnamb/277.html
KW - sparse matrix-vector multiplication
KW - GPU
KW - HEC
KW - parallel algorithm
AB - 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.