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Numerical performance of parallel group explicit solvers for the solution of fourth order elliptic equations

机译:平行群显式求解器求解四阶椭圆方程的数值性能

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摘要

Many applications in applied mathematics and engineering involve numerical solutions of partial differential equations (PDEs). Various discretisation procedures such as the finite difference method result in a problem of solving large, sparse systems of linear equations. In this paper, a group iterative numerical scheme based on the rotated (skewed) five-point finite difference discretisation is proposed for the solution of a fourth order elliptic PDE which represents physical situations in fluid mechanics and elasticity. The rotated approximation formulas lead to schemes with lower computational complexities compared to the centred approximation formulas since the iterative procedure need only involve nodes on half of the total grid points in the solution domain. We describe the development of the parallel group iterative scheme on a cluster of distributed memory parallel computer using Message-Passing Interface (MPI) programming environment. A comparative study with another group iterative scheme derived from the centred difference formula is also presented. A detailed performance analysis of the parallel implementations of both group methods will be reported and discussed.
机译:应用数学和工程学中的许多应用都涉及偏微分方程(PDE)的数值解。诸如有限差分法之类的各种离散程序导致解决大型,稀疏线性方程组的问题。本文提出了一种基于旋转(偏斜)五点有限差分离散化的群迭代数值方案,用于求解代表流体力学和弹性物理情况的四阶椭圆PDE。与中心近似公式相比,旋转近似公式导致方案的计算复杂度较低,因为迭代过程只需要解决区域中总网格点一半的节点即可。我们描述了使用消息传递接口(MPI)编程环境在分布式内存并行计算机群集上并行组迭代方案的开发。还提出了与另一组迭代方案的比较研究,该另一组迭代方案源自中心差异公式。将报告和讨论两种组方法的并行实现的详细性能分析。

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