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Performance analysis of single board computer clusters

机译:单板计算机集群的性能分析

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The past few years have seen significant developments in Single Board Computer (SBC) hardware capabilities. These advances in SBCs translate directly into improvements in SBC clusters. In 2018 an individual SBC has more than four times the performance of a 64-node SBC cluster from 2013. This increase in performance has been accompanied by increases in energy efficiency (GFLOPS/W) and value for money (GFLOPS/$). We present systematic analysis of these metrics for three different SBC clusters composed of Raspberry Pi 3 Model B, Raspberry Pi 3 Model B+ and Odroid C2 nodes respectively. A 16-node SBC cluster can achieve up to 60 GFLOPS, running at 80W. We believe that these improvements open new computational opportunities, whether this derives from a decrease in the physical volume required to provide a fixed amount of computation power for a portable cluster; or the amount of compute power that can be installed given a fixed budget in expendable compute scenarios. We also present a new SBC cluster construction form factor named Pi Stack; this has been designed to support edge compute applications rather than the educational use-cases favoured by previous methods. The improvements in SBC cluster performance and construction techniques mean that these SBC clusters are realising their potential as valuable developmental edge compute devices rather than just educational curiosities. (C) 2019 The Authors. Published by Elsevier B.V.
机译:在过去的几年中,单板计算机(SBC)硬件功能取得了重大发展。 SBC的这些进步直接转化为SBC集群的改进。在2018年,单个SBC的性能是2013年64节点SBC集群的四倍多。性能的提高伴随着能源效率(GFLOPS / W)和物有所值(GFLOPS / $)的增加。我们目前对分别由Raspberry Pi 3模型B,Raspberry Pi 3模型B +和Odroid C2节点组成的三个不同SBC群集的这些指标进行系统分析。一个16节点的SBC集群可以达到60 GFLOPS,以80W运行。我们认为,这些改进带来了新的计算机会,而这是否源于为便携式集群提供固定数量的计算能力所需的物理量的减少?或在消耗性计算方案中在给定固定预算的情况下可以安装的计算能力。我们还提出了一种名为Pi Stack的新的SBC群集构造形式。它被设计为支持边缘计算应用程序,而不是以前方法所偏爱的教育用例。 SBC群集性能和构建技术的改进意味着这些SBC群集正在发挥其潜力,成为有价值的开发边缘计算设备,而不仅仅是教育上的好奇心。 (C)2019作者。由Elsevier B.V.发布

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