By the same authors

POSE: A mathematical and visual modelling tool to guide energy aware code optimisation

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Author(s)

  • Stephen Roberts
  • Steven Wright
  • David Lecomber
  • Christopher January
  • Jonathan Byrd
  • Xavier Oro
  • Stephen A. Jarvis

Department/unit(s)

Publication details

Title of host publication2015 6th International Green and Sustainable Computing Conference
DatePublished - 26 Jan 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Original languageEnglish
ISBN (Electronic)9781509001729

Abstract

Performance engineers are beginning to explore software-level optimisation as a means to reduce the energy consumed when running their codes. This paper presents POSE, a mathematical and visual modelling tool which highlights the relationship between runtime and power consumption. POSE allows developers to assess whether power optimisation is worth pursuing for their codes. We demonstrate POSE by studying the power optimisation characteristics of applications from the Mantevo and Rodinia benchmark suites. We show that LavaMD has the most scope for CPU power optimisation, with improvements in Energy Delay Squared Product (ED2P) of up to 30.59%. Conversely, MiniMD offers the least scope, with improvements to the same metric limited to 7.60%. We also show that no power optimised version of MiniMD operating below 2.3 GHz can match the ED2P performance of the original code running at 3.2 GHz. For LavaMD this limit is marginally less restrictive at 2.2 GHz.

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