A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement
Power consumption has become an increasingly important metric when building large supercomputing clusters. One way to reduce power usage in large clusters is to use low-power embedded processors rather than the more typical high-end server CPUs (central processing units). We investigate various powe...
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doaj-82bcfdac7232486a8aa6c77654afc5972020-11-24T23:16:28ZengMDPI AGElectronics2079-92922016-09-01546110.3390/electronics5040061electronics5040061A Raspberry Pi Cluster Instrumented for Fine-Grained Power MeasurementMichael F. Cloutier0Chad Paradis1Vincent M. Weaver2Electrical and Computer Engineering, University of Maine, Orono, ME 04469, USAElectrical and Computer Engineering, University of Maine, Orono, ME 04469, USAElectrical and Computer Engineering, University of Maine, Orono, ME 04469, USAPower consumption has become an increasingly important metric when building large supercomputing clusters. One way to reduce power usage in large clusters is to use low-power embedded processors rather than the more typical high-end server CPUs (central processing units). We investigate various power-related metrics for seventeen different embedded ARM development boards in order to judge the appropriateness of using them in a computing cluster. We then build a custom cluster out of Raspberry Pi boards, which is specially designed for per-node detailed power measurement. In addition to serving as an embedded cluster testbed, our cluster’s power measurement, visualization and thermal features make it an excellent low-cost platform for education and experimentation.http://www.mdpi.com/2079-9292/5/4/61Raspberry Piembedded supercomputersGFLOPS/Wcluster constructionpower measurement |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michael F. Cloutier Chad Paradis Vincent M. Weaver |
spellingShingle |
Michael F. Cloutier Chad Paradis Vincent M. Weaver A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement Electronics Raspberry Pi embedded supercomputers GFLOPS/W cluster construction power measurement |
author_facet |
Michael F. Cloutier Chad Paradis Vincent M. Weaver |
author_sort |
Michael F. Cloutier |
title |
A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement |
title_short |
A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement |
title_full |
A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement |
title_fullStr |
A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement |
title_full_unstemmed |
A Raspberry Pi Cluster Instrumented for Fine-Grained Power Measurement |
title_sort |
raspberry pi cluster instrumented for fine-grained power measurement |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2016-09-01 |
description |
Power consumption has become an increasingly important metric when building large supercomputing clusters. One way to reduce power usage in large clusters is to use low-power embedded processors rather than the more typical high-end server CPUs (central processing units). We investigate various power-related metrics for seventeen different embedded ARM development boards in order to judge the appropriateness of using them in a computing cluster. We then build a custom cluster out of Raspberry Pi boards, which is specially designed for per-node detailed power measurement. In addition to serving as an embedded cluster testbed, our cluster’s power measurement, visualization and thermal features make it an excellent low-cost platform for education and experimentation. |
topic |
Raspberry Pi embedded supercomputers GFLOPS/W cluster construction power measurement |
url |
http://www.mdpi.com/2079-9292/5/4/61 |
work_keys_str_mv |
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