Communication Cost Reduction by Hierarchical Communication Pattern for FE Computation on Cluster-of-Clusters

Masae Hayashi, H. Okuda
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Abstract

With the rapid growth of the WAN infrastructures and enhancement of MPI libraries for WAN environment, Grid computing is expected to be a practical methodology for performing very large finite element analyses. In particular, the utilization of Grid enhanced MPI libraries allows one to execute legacy programs on WAN environments, which is very attractive for finite element application users. However, the high communication cost associated with WANs has discouraged its use as a parallel environment for finite element analysis. In this study, we focus on the utilization of Grid environments, in particular on cluster-of-clusters environments for the execution of FEA, and propose a hierarchical communication pattern to reduce the communication cost. By analytically estimating the communication cost, based on the decomposed FE mesh, we assess the effectiveness of the hierarchical communication pattern. We then show the obtained communication cost reduction by numerical experiments performed on cluster-of-clusters on WAN.
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基于层次通信模式的聚簇有限元计算通信成本降低
随着广域网基础设施的快速发展和用于广域网环境的MPI库的增强,网格计算有望成为执行超大型有限元分析的实用方法。特别是,利用网格增强的MPI库允许在WAN环境中执行遗留程序,这对有限元应用程序用户非常有吸引力。然而,广域网相关的高通信成本阻碍了其作为有限元分析的并行环境的使用。在本研究中,我们重点研究了网格环境,特别是集群的集群环境中有限元分析的利用,并提出了一种分层通信模式来降低通信成本。通过对通信代价的分析估计,基于分解后的有限元网格,对分层通信模式的有效性进行了评估。然后,我们通过在广域网上的集群上进行的数值实验证明了所获得的通信成本降低。
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