Using Domain Decomposition to Solve Positive-Definite Systems on the Hypercube Computer

G.L. Hennigan, S. Castillo, E. Hensel
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Abstract

A distributed method of solving sparse, positive-definite systems of equations on a hypercube computer, like those arising fiom many finite-element problems, is studied. A domain decomposition method is introduced wherein the domain of the problem to be solved is physically split into several sub-domains. This physical split is based on an ordering known as one-way dissection [ I ] . The one-way dissection ordering generates a block-diagonal system of equations which is well suited to a parallel implementation. Once the ordering has been accomplished each of the subdomains is then distributed to a processor in the hypercube computer as necessary. The method is applied to two-dimensional electrostatic problems which are governed by Laplace’s equation. Since the finite-element method is used to discretize the problem the method is developed to take full advantage of the inherent sparsity. The algorithm is applied to several geometries.
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利用区域分解在超立方体计算机上求解正定系统
研究了一种在超立方体计算机上求解稀疏正定方程组的分布式方法,类似于许多有限元问题。提出了一种域分解方法,将待解问题的域物理划分为若干子域。这种物理分裂是基于一种被称为单向解剖的顺序。单向剖分排序产生一个适合并行实现的块对角线方程组。排序完成后,根据需要将每个子域分发给超立方体计算机中的处理器。将该方法应用于由拉普拉斯方程控制的二维静电问题。由于采用有限元方法对问题进行离散化,因此该方法充分利用了其固有的稀疏性。该算法应用于几种几何图形。
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