有限元分析中一种有效的列主排序格式

2014 Seventh International Joint Conference on Computational Sciences and Optimization Pub Date : 2014-07-04 DOI:10.1109/CSO.2014.110

Jin Tian, F. Gao, Xiankun Sun, Li Gong

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引用次数: 0

摘要

为了提高有限元分析的速度，提出了一种新的列主排序格式-切片EET。为了加快有限元方程迭代计算中稀疏矩阵向量积(SMVP)运算的加法和点积步骤，设计了切片EET。将SMVP在gpu上的新实现与其他列主排序格式进行了比较。在GPU上执行该策略可以有效地求解稀疏有限元方程。

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An Efficient Column-Major Ordering Format for Finite Element Analysis

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.

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2014 Seventh International Joint Conference on Computational Sciences and Optimization

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