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A Fair Benchmark for Evaluating the Latent Potential of Heterogeneous Coupled Clusters

机译:用于评估异构耦合集群的潜在潜在的公平基准

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Coupled clusters usually exhibit a heterogeneous but also hierarchical structure in terms of communication and computation. Therefore, it is inevitable to adapt parallel applications to such systems in order to gain reasonable performance results. Moreover, also regular benchmark tools are not capable of exposing the latent potential of such coupled cluster systems. Though without adapted (or better self-adapting) benchmark tools for such systems, it is almost not possible to forecast the scalability of well-adapted applications and one is not able to compare the possibly achievable performance in an application independent manner. In this paper we present such a fair, self-adapting and meaningful benchmark tool for heterogeneous coupled cluster systems, following the MPI standard.
机译:在通信和计算方面,耦合簇通常表现出异构但也具有层次结构。因此,不可避免地将并行应用程序适应这样的系统,以获得合理的性能结果。此外,还具有规则的基准工具,不能暴露这种耦合集群系统的潜在电位。虽然没有适应(或更好的自适应)用于这种系统的基准工具,但是几乎不可能预测适应良好的应用的可扩展性,并且一个不能以应用独立方式比较可能可实现的性能。在本文中,我们在MPI标准之后,为异构耦合群集系统提供了这种公平,自适应和有意义的基准工具。

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