Power usage of production supercomputers and production workloads

Scott Pakin, Curtis Storlie, Michael Lang, Robert E. Fields, Eloy E. Romero, Craig Idler, Sarah Michalak, Hugh Greenberg, Josip Loncaric, Randal Rheinheimer, Gary Grider, Joanne Wendelberger

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Summary Power is becoming an increasingly important concern for large supercomputer centers. However, to date, there have been a dearth of studies of power usage 'in the wild' - on production supercomputers running production workloads. In this paper, we present the initial results of a project to characterize the power usage of the three Top500 supercomputers at Los Alamos National Laboratory: Cielo, Roadrunner, and Luna (#15, #19, and #47, respectively, on the June 2012 Top500 list). Power measurements taken both at the switchboard level and within the compute racks are presented and discussed. Some noteworthy results of this study are that (1) variability in power consumption differs across architectures, even when running a similar workload and (2) Los Alamos National Laboratory's scientific workload draws, on average, only 70-75% of LINPACK power and only 40-55% of nameplate power, implying that power capping may enable a substantial reduction in power and cooling infrastructure while impacting comparatively few applications.

Original languageEnglish (US)
Pages (from-to)274-290
Number of pages17
JournalConcurrency Computation Practice and Experience
Volume28
Issue number2
DOIs
StatePublished - Feb 1 2016
Externally publishedYes

Keywords

  • analysis
  • high-performance computing
  • measurements
  • power
  • production supercomputers

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Computational Theory and Mathematics
  • Theoretical Computer Science

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