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Some Parallel Numerical Methods in Solving Partial Differential Equations

机译:求解偏微分方程的一些并行数值方法

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This paper will discuss the solution of twodimensional partial differential equations (PDEs) using some parallel numerical methods namely Gauss Seidel and Red Black Gauss Seidel. The selected two-dimensional PDE to solve in this paper are of parabolic and elliptic type. Parallel Virtual Machine (PVM) is used in support of the communication among all microprocessors of Parallel Computing System. PVM is well known as a software system that enables collection of heterogeneous computers to be used as coherent and flexible concurrent computational resource. The numerical results will be presented graphically and parallel performance measurement by Gauss Seidel and Red Gauss Seidel methods will be evaluated in terms of execution time,speedup,efficiency,effectiveness and temporal performance. Performance evaluations are critical as this paper aimed to fabricate an efficient Two-Dimensional PDE Solver (TDPDES). This new well-organized TDPDES technique will enhance the research and analysis procedure of many engineering and mathematic fields.
机译:本文将使用高斯·赛德尔和红黑高斯·赛德尔两种并行数值方法讨论二维偏微分方程(PDE)的求解。本文选择求解的二维PDE为抛物线型和椭圆型。并行虚拟机(PVM)用于支持并行计算系统的所有微处理器之间的通信。 PVM是众所周知的软件系统,它使收集异构计算机可用作连贯且灵活的并发计算资源。数值结果将以图形方式显示,并通过执行时间,加速,效率,有效性和时间性能来评估高斯·赛德尔和Red高斯·赛德尔方法的并行性能测量。由于本文旨在制造有效的二维PDE解算器(TDPDES),因此性能评估至关重要。这种组织良好的新TDPDES技术将增强许多工程和数学领域的研究和分析程序。

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