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Parallel computing of high-speed compressible flows using a node-based finite-element method

机译:使用基于节点的有限元方法并行计算高速可压缩流

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摘要

An efficient parallel computing method for high-speed compressible flows is presented. The numerical analysis of flows with shocks requires very fine computational grids and grid generation requires a great deal of time. In the proposed method, all computational procedures, from the mesh generation to the solution of a system of equations, can be performed seamlessly in parallel in terms of nodes. Local finite-element mesh is generated robustly around each node, even for severe boundary shapes such as cracks. The algorithm and the data structure of finite-element calculation are based on nodes, and parallel computing is realized by dividing a system of equations by the row of the global coefficient matrix. The inter-processor communication is minimized by renumbering the nodal identification number using ParMETIS. The numerical scheme for high-speed compressible flows is based on the two-step Taylor-Galerkin method. The proposed method is implemented on distributed memory systems, such as an Alpha PC cluster, and a parallel supercomputer, Hitachi SR8000. The performance of the method is illustrated by the computation of supersonic flows over a forward facing step. The numerical examples show that crisp shocks are effectively computed on multiprocessors at high efficiency.
机译:提出了一种高效的可压缩高速并行计算方法。冲击流的数值分析需要非常精细的计算网格,而网格生成则需要大量时间。在提出的方法中,从网格生成到方程系统的求解,所有计算过程都可以在节点方面无缝地并行执行。即使对于严重的边界形状(例如裂缝),也会在每个节点周围稳健地生成局部有限元网格。有限元计算的算法和数据结构基于节点,并通过将方程组除以全局系数矩阵的行来实现并行计算。通过使用ParMETIS对节点标识号重新编号,可以最大程度地减少处理器间的通信。高速可压缩流的数值方案基于两步泰勒-加勒金方法。所提出的方法在分布式存储系统(例如Alpha PC群集)和并行超级计算机Hitachi SR8000上实现。通过在向前的步骤上的超音速流的计算来说明该方法的性能。数值示例表明,在多处理器上可以高效地有效地计算出脆性冲击。

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