• DocumentCode
    3078926
  • Title

    Quantifying the Energy Efficiency Challenges of Achieving Exascale Computing

  • Author

    Mair, Jason ; Zhiyi Huang ; Eyers, David ; Yawen Chen

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Otago, Dunedin, New Zealand
  • fYear
    2015
  • fDate
    4-7 May 2015
  • Firstpage
    943
  • Lastpage
    950
  • Abstract
    Power and performance are two potentially opposing objectives in the design of a supercomputer, where increases in performance often come at the cost of increased power consumption and vice versa. The task of simultaneously maximising both objectives is becoming an increasingly prominent challenge in the development of future exascale supercomputers. To gain some perspective on the scale of the challenge, we analyse the power and performance trends for the Top500 and Green500 supercomputer lists. We then present the PαPW metric, which we use to evaluate the scalability of power efficiency, projecting the development of an exascale system. From this analysis, we found that when both power and performance are considered, the projected date of achieving an exascale system falls far beyond the current target of 2020.
  • Keywords
    parallel machines; performance evaluation; power aware computing; Green500 supercomputer list; PαPW metric; Top500 supercomputer list; energy efficiency; exascale computing; exascale supercomputer design; performance objective; power consumption; power efficiency scalability evaluation; power objective; Computer architecture; Market research; Power measurement; Program processors; Scalability; Servers; Supercomputers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CCGrid.2015.130
  • Filename
    7152580