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Parallel multigrid methods for the calculation of unsteady flows on unstructured grids: algorithmic aspects and parallel performances on clusters of PCs

机译:用于计算非结构化网格上的非恒定流的并行多网格方法:PC机群的算法方面和并行性能

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We report on our efforts towards the design of efficient parallel hierarchical iterative methods for the solution of sparse and irregularly structured linear systems resulting from CFD applications. The solution strategies considered here share a central numerical kernel which consists in a linear multigrid by volume agglomeration method. Starting from this method, we study two parallel solution strategies. The first variant results from a direct intra-grid par-allelixation of multigrid operations on coarse grids. The second variant is based on an additive Schwarz domain decomposition algorithm which is formulated at the continuous level through the introduction of specific interface conditions. In this variant, the linear multigrid by volume agglomeration method is used to approximately solve the local systems obtained at each iteration of the Schwarz algorithm. As a result, the proposed hybrid domain decom-position/multigrid method can be viewed as a particular form of parallel multigrid in which multigrid acceleration is applied on a subdomain basis, these local calculations being coordinated by an appropriate domain decomposition iteration at the global level. The parallel performances of these two parallel multigrid methods are evaluated through numerical experiments that are performed on several clusters of PCs with different computational nodes and interconnection networks.
机译:我们报告了我们在设计高效并行分层迭代方法方面的工作,以解决CFD应用程序导致的稀疏和不规则结构线性系统的问题。这里考虑的解决方案策略共享一个中心数值核,该核包含通过体积聚结方法的线性多重网格。从这种方法开始,我们研究了两种并行的解决方案策略。第一个变体是由粗网格上的多网格操作直接在网格内进行对位别名运算产生的。第二种变体基于可加性Schwarz域分解算法,该算法通过引入特定的界面条件以连续级别制定。在此变体中,线性的多体积网格聚结方法用于近似求解在Schwarz算法的每次迭代中获得的局部系统。结果,所提出的混合域分解/多重网格方法可以看作是并行多重网格的一种特殊形式,其中在子域的基础上应用多重网格加速,这些局部计算由全局一级的适当域分解迭代协调。这两种并行多网格方法的并行性能是通过在具有不同计算节点和互连网络的几台PC群集上执行的数值实验评估的。

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