full
search.png

Search

close.png

Cancel

Volume 3, Issue 2
Sparse Matrix-Vector Multiplication on Nvidia Gpu

HUI LIU, SONG YU, ZHANGXIN CHEN, BEN HSIEH AND LEI SHAO

Int. J. Numer. Anal. Mod. B, 3 (2012), pp. 185-191

Published online: 2012-03

Preview Purchase PDF 1146 12424

Cited by

google scholar semantic scholar
Export citation
  • Abstract
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.
  • Keywords

sparse matrix-vector multiplication GPU HEC parallel algorithm

  • AMS Subject Headings

65F30 65F50 65Y05 65Y10 68W10

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{IJNAMB-3-185, author = {HUI LIU, SONG YU, ZHANGXIN CHEN, BEN HSIEH AND LEI SHAO}, title = {Sparse Matrix-Vector Multiplication on Nvidia Gpu}, journal = {International Journal of Numerical Analysis Modeling Series B}, year = {2012}, volume = {3}, number = {2}, pages = {185--191}, abstract = {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.}, issn = {}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnamb/277.html} }
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.
HUI LIU, SONG YU, ZHANGXIN CHEN, BEN HSIEH AND LEI SHAO. (2012). Sparse Matrix-Vector Multiplication on Nvidia Gpu. International Journal of Numerical Analysis Modeling Series B. 3 (2). 185-191. doi:
Copy to clipboard
BibteX RIS TXT
The citation has been copied to your clipboard