DocumentCode :
120269
Title :
An Efficient Column-Major Ordering Format for Finite Element Analysis
Author :
Jin Tian ; Fei Gao ; Xiankun Sun ; Li Gong
Author_Institution :
Coll. of Electron. & Electr. Eng., Shanghai Univ. Of Eng. Sci., Shanghai, China
fYear :
2014
fDate :
4-6 July 2014
Firstpage :
562
Lastpage :
565
Abstract :
A new column-major ordering format called sliced EET is proposed to accelerate FEM analysis. The sliced EET is designed for hastening many addition and dot product steps of Sparse Matrix Vector Product (SMVP) operations in iterative calculation of finite element equations. The new implementation of SMVP on GPUs is compared with other column-major ordering formats. The proposed strategy executed on a GPU can efficiently solve sparse finite element equations.
Keywords :
finite element analysis; iterative methods; mathematics computing; sparse matrices; FEM analysis; GPU; SMVP; addition steps; column-major ordering format; dot product steps; sliced EET; sparse finite element equations; sparse matrix vector product operations; Joints; Optimization; Column-major Ordering Format; Graphics Processing Unit (GPU); Sparse Matrix Vector Product (SMVP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-5371-4
Type :
conf
DOI :
10.1109/CSO.2014.110
Filename :
6923748
Link To Document :
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