• DocumentCode
    3124630
  • Title

    Energy modeling of supercomputers and large-scale scientific applications

  • Author

    Pakin, Scott ; Lang, Michael

  • Author_Institution
    Comput., Comput., & Stat. Sci. Div., Los Alamos Nat. Lab., Los Alamos, NM, USA
  • fYear
    2013
  • fDate
    27-29 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We derive models of time, power, and energy as a function of frequency and demonstrate that these models accurately reflect measurements of large, parallel, scientific applications. We then apply these models to explain how sensitive the various applications are to CPU frequency; to analyze the compute-boundedness (frequency sensitivity) of complete, production workloads running on three of the world´s fastest supercomputers; to predict how changes in system power properties will impact applications; and to determine what CPU frequencies offer the best energy, EDP, and ED2P savings.
  • Keywords
    parallel machines; power aware computing; CPU frequency; ED2P savings; EDP; compute-boundedness; energy modeling; frequency sensitivity; large-scale scientific application; supercomputers; Computational modeling; Energy consumption; Equations; Frequency measurement; Mathematical model; Power measurement; Supercomputers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing Conference (IGCC), 2013 International
  • Conference_Location
    Arlington, VA
  • Type

    conf

  • DOI
    10.1109/IGCC.2013.6604494
  • Filename
    6604494
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3124630