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The effectiveness of domain balancing strategies on workstation clusters demonstrated by viscous flow problems

机译:粘性流问题证明了域平衡策略在工作站群集上的有效性

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We consider several aspects of efficient numerical simulation of viscous compressible flow on both homogeneous and heterogeneous workstation-clusters. We consider dedicated systems, as well as clusters operating in a multi-user environment. For dedicated homogeneous clusters, we show that with respect to the turn-around time, there is an optimal number of workstations to solve a given flow-problem. This number depends on the actual implementation of the solver. For non-dedicated heterogeneous clusters we apply dynamic domain-balancing techniques in order to obtain an optimal turn-around time for the flow-simulation job only, taking into account the activities on the cluster arising from the other applications. We show that the decision which technique should be used depends on various aspects such as the character of the load-fluctuations arising from the other applications, whether the flow-simulation job is computationally intensive, and the underlying hardware. The effects of these aspects on this decision are analyzed. Although it can be concluded that no domain-balancing technique is the best under arbitrary circumstances, such an analysis may guide the decision for a particular load-situation. Moreover, we indicate how such a decision can be supported by a comparison of the various balancing strategies using a simulation study. This is illustrated for a specific load-situation.
机译:我们考虑了均质和非均质工作站群集上粘性可压缩流的高效数值模拟的几个方面。我们考虑专用系统以及在多用户环境中运行的集群。对于专用的同质集群,我们表明,相对于周转时间,有一定数量的工作站可以解决给定的流动问题。此数字取决于求解器的实际实现。对于非专用异构集群,我们应用动态域平衡技术,以便仅考虑到其他应用程序在集群上产生的活动,以获得仅用于流模拟作业的最佳周转时间。我们显示出应该使用哪种技术的决定取决于各个方面,例如其他应用程序引起的负载波动的特性,流量模拟作业是否需要大量计算以及底层硬件。分析了这些方面对该决策的影响。虽然可以得出结论,在任何情况下都没有哪种域平衡技​​术是最好的,但是这种分析可以指导特定负载情况的决策。此外,我们指出了如何通过使用模拟研究比较各种平衡策略来支持这种决策。针对特定的负载情况进行了说明。

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