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Adaptive Parallel Multigrid in Computational Fluid Dynamics

机译:计算流体动力学中的自适应并行多重网格

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In this paper the numerical and parallel efficiency of the adaptive parallel strategy employed in a multigrid-solver package LiSS, developed in GMD-SCAI, are discussed. Two main aspects in these issues are adaptive criterion and data-redistribution concept for load-balancing. The adaptive criterion is based on the finite-element-residuals of governing equations. It can find refinement regions automatically, e.g. near shocks and geometric singularities. For parallelization new data in the adaptive phase can be re-distributed by sub-dividing and remapping the sub-blocks onto exisiting processors to obtain approximate load-balancing. The 2D exmaples of Euler equations and incompressible Navier-Stokes equations in this paper show obviously high numerical and parallel efficiency of LiSS.
机译:本文讨论了在GMD-SCAI中开发的多网格求解器程序包LiSS中采用的自适应并行策略的数值和并行效率。这些问题的两个主要方面是自适应准则和用于负载平衡的数据重新分配概念。自适应准则基于控制方程的有限元残差。它可以自动找到细化区域,例如接近冲击和几何奇点。为了并行化,可以通过将子块细分并重新映射到现有处理器上来重新分配自适应阶段中的新数据,以获得近似的负载平衡。本文中的Euler方程和不可压缩的Navier-Stokes方程的二维示例显示了LiSS的较高的数值效率和并行效率。

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