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A parallel multigrid method for the prediction of incompressible flows on workstation clusters

机译:一种并行多网格方法,用于预测工作站集群上的不可压缩流

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A parallel multigrid method for the prediction of incompressible flows in complex geometries is investigated with respect to the performance on workstation clusters. The parallel implementation is based on grid partitioning and follows the message passing concept, ensuring a high degree of portability. A high numerical efficiency is obtained by a nonlinear multigrid method with a pressure-correction scheme as smoother. Within this investigation, up to 64 workstations located at the TU Munich connected by an ethernet switch are used as well as two workstations located at the University of Erlangen. The workstations in Erlangen and Munich are connected by a high-speed ATM-network. Global and local communication which is required within the solver is examined for different configurations of workstations. These results are used to understand the performance of the flow solver. Moreover, it is shown that speedups can be achieved for the computation of complex flow problems on work-station clusters, although these speedups are smaller compared to other parallel architectures.
机译:针对工作站群集上的性能,研究了一种并行多网格方法,用于预测复杂几何形状中的不可压缩流。并行实现基于网格划分,并遵循消息传递概念,从而确保了高度的可移植性。通过非线性多网格方法和更平滑的压力校正方案,可以获得较高的数值效率。在此调查中,最多使用64个通过以太网交换机连接的TU慕尼黑工作站,以及两个位于埃尔兰根大学的工作站。埃尔兰根和慕尼黑的工作站通过高速ATM网络连接。针对工作站的不同配置,检查了求解器内所需的全局和本地通信。这些结果用于了解流量求解器的性能。此外,显示出可以实现工作站集群上复杂流问题的计算的加速,尽管与其他并行体系结构相比,这些加速较小。

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