分布式PC集群上一种新的迭代椭圆PDE求解器

N. M. Ali, Kok Fu Ng
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引用次数: 9

摘要

并行计算机技术的进步极大地影响了求解偏微分方程的数值方法。适合于并行环境的数值格式的开发一直是人们关注的焦点。在这项工作中,我们研究了四点修正显式解耦群(MEDG)方法的并行实现,该方法由Ali和Ng(2007)引入,作为二维泊松方程的快速求解器。该方法被证明优于所有属于四点显式群族的方法,即显式群(EG)[8]、显式解耦群(EDG)[1]和修正显式群(MEG)[7]。本文给出了在分布式存储PC集群上实现并行算法的初步结果。讨论了两种由双色斑马和四色棋盘顺序组成的并行化策略在求解二维泊松模型问题中的应用。
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A New Iterative Eliiptic PDE Solver on a Distributed PC Cluster
Advancement in parallel computers technology has greatly influenced the numerical methods used for solving partial differential equations (pdes). A lot of attention has been devoted to the development of numerical schemes which are suitable for the parallel environment. In this work, we investigate the parallel implementation of the four-point Modified Explicit Decoupled Group (MEDG) method which was introduced by Ali and Ng (2007) as a fast solver for the two dimensional Poisson pde. The method was shown to be more superior than all the methods belonging to the four-points explicit group family namely the Explicit Group (EG) [8], Explicit Decoupled Group (EDG) [1] and Modified Explicit Group (MEG) [7]. This paper presents the preliminary results of the parallel algorithms implemented on a distributed memory PC cluster. Two parallelizing strategies comprising of the two-color zebra and the four-color chessboard orderings in solving a two dimensional Poisson model problem will be discussed.
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