.png){kind=icon}
返回
Parallel finite element analysis using Jacobi-conditioned conjugate gradient algorithm
.png){kind=icon}
PRE
AI
DOI：10.1016/0965-9978(95)00111-5.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper a modified parallel Jacobi-conditioned conjugate gradient (CG) method is proposed for solving linear elastic finite element system of equations. The conventional element-by-element and diagonally conditioned approaches are discussed with respect to parallel implementation on distributed memory MIMD architectures. The effects of communication overheads on the efficiency of the parallel CG solver are considered and it is shown that for the efficient performance of a parallel CG solver, the interprocessor communication has to be carried out concurrently. A concurrent communication scheme is proposed by relating the semi-bandwidth of the stiffness matrix with the number of independent degrees of freedom and the number of processors and inducing directionalization of communication within the processor pipeline. With the aid of two examples the effectiveness of the proposed method is demonstrated showing that the cost of communication remains low and relatively insensitive to the increase in the number of processors. Copyright (C) 1996 Civil-Comp Limited and Elsevier Science Limited.
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.7
论文数:
3.3K
被引数:
1.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
Therapeutic options for emotional lability: Current and emerging treatments情绪不稳的疗法选择：当前与新兴的治疗方法
PREAI
分享收藏
分享收藏 没有更多内容
没有更多内容