I/O Aware Power Shifting

Lee Savoie, David K. Lowenthal, Bronis R.De Supinski, Tanzima Islam, Kathryn Mohror, Barry Rountree, Martin Schulz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

Power limits on future high-performance computing (HPC) systems will constrain applications. However, HPC applications do not consume constant power over their lifetimes. Thus, applications assigned a fixed power bound may be forced to slow down during high-power computation phases, but may not consume their full power allocation during low-power I/O phases. This paper explores algorithms that leverage application semantics - phase frequency, duration and power needs - to shift unused power from applications in I/O phases to applications in computation phases, thus improving system-wide performance. We design novel techniques that include explicit staggering of applications to improve power shifting. Compared to executing without power shifting, our algorithms can improve average performance by up to 8% or improve performance of a single, high-priority application by up to 32%.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages740-749
Number of pages10
ISBN (Electronic)9781509021406
DOIs
StatePublished - Jul 18 2016
Event30th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2016 - Chicago, United States
Duration: May 23 2016May 27 2016

Publication series

NameProceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016

Other

Other30th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2016
Country/TerritoryUnited States
CityChicago
Period5/23/165/27/16

Keywords

  • HPC
  • Performance
  • Power

ASJC Scopus subject areas

  • Computer Networks and Communications

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