Parallel stabilized mixed Galerkin method for three-dimensional Darcy flow using OpenMP

Shahab U. Ansari, M. Hussain, A. Rashid, Suleman Mazhar, S. M. Ahmad
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引用次数: 6

Abstract

This paper presents a parallel stabilized mixed Galerkin method for three-dimensional steady-state Darcy flow using OpenMP for shared memory architecture. In finite element problems, the computational complexity increases with increasing number of elements needed for large and complex geometry. Shared memory architecture offers a platform for solving such large and complex problems for practical applications. In parallel solvers, the mesh reordering has proved to be an important preprocessing operation to enhance performance. The objective of this study is to compare the performance of octree-based mesh reordering with multilevel-based reordering in the parallel solution. The reported results include execution time, speedup and efficiency of the solution using hexahedral and tetrahedral meshes of various sizes. The numerical results suggest that the octree-based mesh reordering outperforms multilevel-based method with tetrahedral meshes.
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三维达西流动的平行稳定混合伽辽金法
本文提出了一种基于OpenMP的三维稳态达西流并行稳定混合Galerkin方法。在有限元问题中,随着大型复杂几何结构所需元素数量的增加,计算复杂度也随之增加。共享内存体系结构为解决实际应用中的大型复杂问题提供了一个平台。在并行求解器中,网格重排序已被证明是提高性能的重要预处理操作。本研究的目的是比较并行解决方案中基于八叉树的网格重排序与基于多级的网格重排序的性能。报告的结果包括使用不同尺寸的六面体和四面体网格解决方案的执行时间,加速和效率。数值结果表明,基于八叉树的四面体网格重排序方法优于基于多级的四面体网格重排序方法。
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