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Performance of ODROID-MC1 for scientific flow problems

机译:ODROID-MC1在科学流动问题上的性能

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In late 2017, Hardkernel released the ODROID-MC1 cluster system, which is based on the ODROID-XU4 single-board computer. The cluster consists of four nodes, each equipped with a Samsung Exynos 5 Octa (5422) CPU. The system promises high computational power under low energy consumption. In this paper, the applicability of such a systems to scientific problems is investigated. Therefore, flow computations using a lattice-Boltzmann method are employed to evaluate the single core, single node, and multinode performance and scalability of the cluster. The lattice-Boltzmann code is part of a larger simulation framework and scales well across several high-performance computers. Performance measurement results are juxtaposed to those obtained on high-performance computers and show that the ODROID-MC1 can indeed compete with high-class server CPUs. Energy measurements corroborate the ODROID's energy efficiency. Its drawbacks result from the limited amount of available memory, the corresponding memory bandwidth, and the low-performing Cortex A7 cores of the big.LITTLE architecture. The applicability to scientific applications is shown by a three-dimensional simulation of the flow in a slot burner configuration. (C) 2019 Elsevier B.V. All rights reserved.
机译:2017年末,Hardkernel发布了ODROID-MC1集群系统,该系统基于ODROID-XU4单板计算机。群集由四个节点组成,每个节点都配备有Samsung Exynos 5 Octa(5422)CPU。该系统保证了在低能耗下的高计算能力。在本文中,研究了这种系统对科学问题的适用性。因此,采用基于格-玻尔兹曼方法的流量计算可评估群集的单核,单节点以及多节点性能和可伸缩性。格子-玻尔兹曼代码是较大的仿真框架的一部分,可在几台高性能计算机上很好地扩展。性能测量结果与在高性能计算机上获得的结果并列,表明ODROID-MC1确实可以与高级服务器CPU竞争。能量测量证实了ODROID的能量效率。它的缺点是由于可用内存数量有限,相应的内存带宽以及big.LITTLE架构的低性能Cortex A7内核造成的。通过狭缝燃烧器配置中的流动的三维模拟显示了对科学应用的适用性。 (C)2019 Elsevier B.V.保留所有权利。

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