Parallel Computation of Sparse Matrix Vector Multiplication

被引：0

作者：

Yin, Wei ^{[1
]}

He, Yu ^{[1
]}

机构：

[1] Beijing Technol & Business Univ, Dept Comp & Informat Engn, Beijing, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON FUTURE COMPUTER SCIENCE AND APPLICATION (FCSA 2011), VOL 3 | 2011年

关键词：

SpMV; parallel computation; shared memory; OpenMP;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Parallel Computation of Sparse Matrix Vector MultiplicationSparse Matrix Vector Multiplication (SpMV) is a very important and frequently called computing method in the scientific calculation. In this paper, there presents a parallel method, based on a shared-memory multi-core computing model, to improve the computing efficiency of SpMV, and being realized by OpenMP, a interface of multi-thread parallel programming.

引用

页码：196 / 199

页数：4