AN EFFICIENT GPU ACCELERATION FORMAT FOR FINITE ELEMENT ANALYSIS

被引：0

作者：

Tian Jin ^{[1
]}

Li Gong ^{[2
]}

Fei Wu ^{[1
]}

Zeng Guohui ^{[1
]}

机构：

[1] College of Electronic and Electrical Engineering,Shanghai University of Engineering Science

[2] Institute of China Innovation,East China Normal University

来源：

Journal of Electronics(China) | 2013年 / 30卷 / 06期

基金：

美国国家科学基金会; 上海市自然科学基金;

关键词：

Finite Element Method(FEM); Graphics Processing Unit(GPU); Parallelization strategy; Modified Compile Time Optimization(MCTO);

D O I：

暂无

中图分类号：

TP391.41 []; O241.82 [偏微分方程的数值解法];

学科分类号：

070102 ; 080203 ;

摘要：

This paper proposes a new Graphics Processing Unit(GPU)-accelerated storage format to speed up Sparse Matrix Vector Products(SMVPs) for Finite Element Method(FEM) analysis of electromagnetic problems.A new format called Modified Compile Time Optimization(MCTO) format is used to reduce much execution time and design for hastening the iterative solution of FEM equations especially when rows have uneven lengths.The MCTO-applied FEM is about 10 times faster than conventional FEM on a CPU,and faster than other row-major ordering formats on a GPU.Numerical results show that the proposed GPU-accelerated storage format turns out to be an excellent accelerator.

引用

页码：599 / 608

页数：10

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