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Optimization of quasi-diagonal matrix–vector multiplication on GPU
Yang, WD; Li, KL; Liu, Y; Shi, L; Wan, LJ
刊名International Journal of High Performance Computing Applications
2014
卷号Vol.28 No.2页码:183-195
关键词Graphics processing unit (GPU) sparse matrix sparse matrix–vector multiplication (SpMV) compute unified device architecture (CUDA) quasi-diagonal matrix
ISSN号1094-3420
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6101861
专题湖南大学
作者单位1.Hunan City Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China
2.Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China
3.Natl Supercomp Ctr, Changsha, Hunan, Peoples R China
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GB/T 7714
Yang, WD,Li, KL,Liu, Y,et al. Optimization of quasi-diagonal matrix–vector multiplication on GPU[J]. International Journal of High Performance Computing Applications,2014,Vol.28 No.2:183-195.
APA Yang, WD,Li, KL,Liu, Y,Shi, L,&Wan, LJ.(2014).Optimization of quasi-diagonal matrix–vector multiplication on GPU.International Journal of High Performance Computing Applications,Vol.28 No.2,183-195.
MLA Yang, WD,et al."Optimization of quasi-diagonal matrix–vector multiplication on GPU".International Journal of High Performance Computing Applications Vol.28 No.2(2014):183-195.
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