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Quantifying the impact of variability on the energy efficiency for a next-generation ultra-green supercomputer

Published: 11 August 2014 Publication History

Abstract

Supercomputers, nowadays, aggregate a large number of nodes sharing the same nominal HW components (eg. processors and GPGPUS). In real-life machines, the chips populating each node are subject to a wide range of variability sources, related to performance and temperature operating points (i.e. ACPI p-states) as well as process variations and die binning. Eurora is a fully operational supercomputer prototype that topped July 2013 Green500 and it represents a unique 'living lab' for next-generation ultra-green supercomputers. In this paper we evaluate and quantify the impact of variability on Eurora's energy-performance tradeoffs under a wide range of workload intensity.

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    cover image ACM Conferences
    ISLPED '14: Proceedings of the 2014 international symposium on Low power electronics and design
    August 2014
    398 pages
    ISBN:9781450329750
    DOI:10.1145/2627369
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    Published: 11 August 2014

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    Author Tags

    1. energy aware
    2. energy efficiency
    3. supercomputer
    4. variability

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    ISLPED '14 Paper Acceptance Rate 63 of 184 submissions, 34%;
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