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首页> 外文期刊>International journal of computational fluid dynamics >Parallel SOR methods with a parabolic-diffusion acceleration technique for solving an unstructured-grid Poisson equation on 3D arbitrary geometries
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Parallel SOR methods with a parabolic-diffusion acceleration technique for solving an unstructured-grid Poisson equation on 3D arbitrary geometries

机译:带有抛物线扩散加速技术的并行SOR方法在3D任意几何上求解非结构化网格Poisson方程

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This paper presents a parallel algorithm for the finite-volume discretisation of the Poisson equation on three-dimensional arbitrary geometries. The proposed method is formulated by using a 2D horizontal block domain decomposition and interprocessor data communication techniques with message passing interface. The horizontal unstructured-grid cells are reordered according to the neighbouring relations and decomposed into blocks using a load-balanced distribution to give all processors an equal amount of elements. In this algorithm, two parallel successive over-relaxation methods are presented: a multi-colour ordering technique for unstructured grids based on distributed memory and a block method using reordering index following similar ideas of the partitioning for structured grids. In all cases, the parallel algorithms are implemented with a combination of an acceleration iterative solver. This solver is based on a parabolic-diffusion equation introduced to obtain faster solutions of the linear systems arising from the discretisation. Numerical results are given to evaluate the performances of the methods showing speedups better than linear.
机译:本文提出了一种在三维任意几何体上对泊松方程进行有限体积离散化的并行算法。该方法是通过使用二维水平块域分解和具有消息传递接口的处理器间数据通信技术来制定的。根据相邻关系对水平非结构化网格单元进行重新排序,并使用负载平衡的分布将其分解为块,以为所有处理器提供相等数量的元素。在该算法中,提出了两种并行的连续超松弛方法:一种基于分布式内存的非结构化网格的多色排序技术,以及一种按照结构化网格划分的相似思想使用重排序索引的块方法。在所有情况下,并行算法都是结合使用加速度迭代求解器来实现的。该求解器基于抛物线扩散方程,引入该方程可获得离散化引起的线性系统的更快解。给出了数值结果以评估显示出比线性方法更好的加速性能的方法的性能。

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