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Metrics for energy-aware software optimisation

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Title of host publicationHigh Performance Computing - 32nd International Conference, ISC High Performance 2017, Proceedings
DateAccepted/In press - 1 Jan 2017
DateE-pub ahead of print (current) - 12 May 2017
Pages413-430
Number of pages18
PublisherSpringer-Verlag
Volume10266 LNCS
Original languageEnglish
ISBN (Print)9783319586663

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10266 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Abstract

Energy consumption is rapidly becoming a limiting factor in scientific computing. As a result, hardware manufacturers increasingly prioritise energy efficiency in their processor designs. Performance engineers are also beginning to explore software optimisation and hardware/software co-design as a means to reduce energy consumption. Energy efficiency metrics developed by the hardware community are often re-purposed to guide these software optimisation efforts. In this paper we argue that established metrics, and in particular those in the Energy Delay Product (Etn) family, are unsuitable for energyaware software optimisation. A good metric should provide meaningful values for a single experiment, allow fair comparison between experiments, and drive optimisation in a sensible direction. We show that Etn metrics are unable to fulfil these basic requirements and present suitable alternatives for guiding energy-aware software optimisation. We finish with a practical demonstration of the utility of our proposed metrics.

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© Springer International Publishing AG 2017. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

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