• DocumentCode
    1917222
  • Title

    Poster: Three Steps to Model Power-Performance Efficiency for Emergent GPU-Based Parallel Systems

  • Author

    Shuaiwen Leon Song ; Chun-Yi Su ; Rountree, Barry ; Cameron, Kirk W.

  • fYear
    2012
  • fDate
    10-16 Nov. 2012
  • Firstpage
    1346
  • Lastpage
    1346
  • Abstract
    According to the US DOE, there is a need for 1000-fold performance increase with only a 10-fold power increase to achieve the goal of a sustained petaflop within 20 Megawatts by 2019. Despite the top-ranked energy efficiency supercomputer at about 2,000 MFLOPS/watt, to meet the DOE goal of 50,000 MFLOPS/watt will require significant innovation in power and performance efficiency. In order to help application and system designers find power-performance bottlenecks and their causes, a need for accurate models that balance abstraction and detail on emergent GPU architectures.
  • Keywords
    energy conservation; graphics processing units; parallel processing; power aware computing; Department of Energy; GPU architecture; GPU-Based parallel system; US DOE; United States; energy efficiency supercomputer; graphics processing unit; power-performance efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4673-6218-4
  • Type

    conf

  • DOI
    10.1109/SC.Companion.2012.178
  • Filename
    6495961