评价Qlogic在高性能集群上的分散路由

S. M. Sait, R. Al-Shaikh
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引用次数: 0

摘要

随着高性能集群(HPC)在节点数量和处理核心方面的扩展,主机和网络层面的互联网工作拥塞和瓶颈成为集群计算中的主要问题之一。相当重要的是,ib架构(IBA)规范提供了六种不同的路由算法,以更好地优化HPC互联网工作流量。在本文中,我们提出了这些算法,然后使用配备英特尔最新Westmere处理器的大规模Infiniband集群评估QLogic的分散路由。本文介绍了集群配置,并使用高性能LINPACK (HPL)和英特尔MPI (IMB)基准测试评估其性能。我们的结果表明,虽然默认的最小跳算法适用于大多数串行和点对点基准测试,但分散路由算法在运行特定的计算和并行传输例程时表现出更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Qlogic's Dispersive Routing on High Performance Clusters
As high performance clusters (HPC) expand in terms of nodes count and processing cores, internet work congestion and bottlenecks at the host and network levels become one of the main concerns in clustered computing. Considerably, the Infiniband Architecture (IBA) Specification provides six different routing algorithms to better optimize the HPC internet work traffic. In this paper, we present these algorithms and then evaluate QLogic's dispersive routing using a large-scale Infiniband cluster, equipped with Intel's latest Westmere processor. The paper presents the cluster configuration and evaluates its performance using High Performance LINPACK (HPL) and Intel MPI (IMB) benchmarks. Our results show that whilst the default Min Hop algorithm suits most of the serial and point-to-point benchmarks, the dispersive routing algorithm exhibits improved performance when running specific computational and parallel transfer routines.
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