POW: System-wide dynamic reallocation of limited power in HPC

Daniel A. Ellsworth, Allen D. Malony, Barry Rountree, Martin Schulz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Scopus citations

Abstract

Current trends for high-performance computing systems are leading us towards hardware over-provisioning where it is no longer possible to run each component at peak power without exceeding a system or facility wide power bound. In such scenarios, the power consumed by individual components must be artificially limited to guarantee system operation under a given power bound. In this paper, we present the design of a power scheduler capable of enforcing such a bound using dynamic system-wide power reallocation in an application-agnostic manner. Our scheduler achievies better job runtimes than a naïve power scheduling approach without requiring a priori knowledge of application power behavior.

Original languageEnglish
Title of host publicationHPDC 2015 - Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing
PublisherAssociation for Computing Machinery, Inc
Pages145-148
Number of pages4
ISBN (Electronic)9781450335508
DOIs
StatePublished - 15 Jun 2015
Externally publishedYes
Event24th ACM Symposium on High-Performance Parallel and Distributed Computing, HPDC 2015 - Portland, United States
Duration: 15 Jun 201519 Jun 2015

Publication series

NameHPDC 2015 - Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing

Conference

Conference24th ACM Symposium on High-Performance Parallel and Distributed Computing, HPDC 2015
Country/TerritoryUnited States
CityPortland
Period15/06/1519/06/15

Keywords

  • HPC
  • Hardware over-provisioning
  • Power bound
  • RAPL

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