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Performance of ODROID-MC1 for scientific flow problems

机译:ofroid-mc1对科学流动问题的表现

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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年底,Hardkernel发布了odroid-MC1集群系统,该系统基于ODTroid-XU4单板计算机。群集由四个节点组成,每个节点配备三星Exynos 5 Octa(5422)CPU。该系统承诺在低能耗下的高计算能力。本文研究了这种系统对科学问题的适用性。因此,采用使用Lattice-Boltzmann方法的流量计算来评估单个核心,单节点和多个节点和群集的可伸缩性。 Lattice-Boltzmann代码是较大的仿真框架的一部分,横跨几台高性能计算机缩放。性能测量结果与高性能计算机上获得的结果并置,并显示ODTOID-MC1确实可以与高级服务器CPU竞争。能量测量证实了Otroid的能效。它的缺点是由有限量的可用内存,相应的存储器带宽和Big.Little架构的低执行Cortex A7内核产生。通过槽燃烧器配置中的流动的三维模拟来示出对科学应用的适用性。 (c)2019 Elsevier B.v.保留所有权利。

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