A power-measurement methodology for large-scale, high-performance computing

Thomas R.W. Scogland, Craig P. Steffen, Torsten Wilde, Florent Parent, Susan Coghlan, Natalie Bates, Wu Chun Feng, Erich Strohmaier

Research output: Contribution to conferencePaper

Abstract

Improvement in the energy efficiency of supercomputers can be accelerated by improving the quality and comparability of efficiency measurements. The ability to generate accurate measurements at extreme scale are just now emerging. The realization of system-level measurement capabilities can be accelerated with a commonly adopted and high quality measurement methodology for use while running a workload, typically a benchmark. This paper describes a methodology that has been developed collaboratively through the Energy Efficient HPC Working Group to support architectural analysis and comparative measurements for rankings, such as the Top500 and Green500. To support measurements with varying amounts of effort and equipment required we present three distinct levels of measurement, which provide increasing levels of accuracy. Level 1 is similar to the Green500 run rules today, a single average power measurement extrapolated from a subset of a machine. Level 2 is more comprehensive, but still widely achievable. Level 3 is the most rigorous of the three methodologies but is only possible at a few sites. However, the Level 3 methodology generates a high quality result that exposes details that the other methodologies may miss. In addition, we present case studies from the Leibniz Supercomputing Centre (LRZ), Argonne National Laboratory (ANL) and Calcul Québec Université Laval that explore the benefits and difficulties of gathering high quality, system-level measurements on large-scale machines.

Original languageEnglish (US)
Pages149-159
Number of pages11
DOIs
StatePublished - Jan 1 2014
Event5th ACM/SPEC International Conference on Performance Engineering, ICPE 2014 - Dublin, Ireland
Duration: Mar 22 2014Mar 26 2014

Other

Other5th ACM/SPEC International Conference on Performance Engineering, ICPE 2014
CountryIreland
CityDublin
Period3/22/143/26/14

Keywords

  • Datacenter
  • Green500
  • Highperformance computing
  • Power-measurement methodology
  • Top500

ASJC Scopus subject areas

  • Software

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  • Cite this

    Scogland, T. R. W., Steffen, C. P., Wilde, T., Parent, F., Coghlan, S., Bates, N., Feng, W. C., & Strohmaier, E. (2014). A power-measurement methodology for large-scale, high-performance computing. 149-159. Paper presented at 5th ACM/SPEC International Conference on Performance Engineering, ICPE 2014, Dublin, Ireland. https://doi.org/10.1145/2568088.2576795