A GaBP-GPU algorithm of solving large-scale sparse linear systems

被引:0
|
作者
Zheng, Hanyuan [1 ,2 ]
Song, Anping [1 ]
Liu, Zhixiang [1 ]
Xu, Lei [1 ]
Zhang, Wu [1 ]
机构
[1] School of Computer Engineering and Science, Shanghai University
[2] Department of Computer, Longyan University
来源
Journal of Information and Computational Science | 2014年 / 11卷 / 03期
关键词
GaBP algorithm; GPU; Large-scale; Sparse linear systems;
D O I
10.12733/jics20102886
中图分类号
学科分类号
摘要
According to GaBP (Gaussian Belief Propagation) algorithm, this article presents a GaBP-GPU algorithm of solving large-scale symmetric diagonally dominant sparse linear systems based on GPU. Combined with GaBP-GPU algorithm, a storage format (MCSC) is presented. We extract some diagonally dominant matrices from the University of Florida Sparse Matrix Collection as test examples. The experimental results show that our algorithm has high efficiency in execution time under the same accuracy. © 2014 by Binary Information Press.
引用
收藏
页码:911 / 921
页数:10
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