• DocumentCode
    565267
  • Title

    Assessing the performance limits of parallelized near-threshold computing

  • Author

    Pinckney, Nathaniel ; Sewell, Korey ; Dreslinski, Ronald G. ; Fick, David ; Mudge, Trevor ; Sylvester, Dennis ; Blaauw, David

  • Author_Institution
    EECS Dept., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    1143
  • Lastpage
    1148
  • Abstract
    Supply voltage scaling has stagnated in recent technology nodes, leading to so-called “dark silicon.” In this paper, we investigate the limit of voltage scaling together with task parallelization to maintain task completion latency. When accounting for parallelization overheads, minimum task energy is obtained at “near threshold” supply-voltages across 6 commercial technology nodes and provides 4X improvement in overall CMP performance.
  • Keywords
    microprocessor chips; parallel processing; power aware computing; CMP performance; dark silicon; minimum task energy; parallelization overhead; parallelized near-threshold computing; performance limit assessment; supply voltage scaling; task completion latency; task parallelization; Benchmark testing; Clocks; Delay; Energy efficiency; Logic gates; Threshold voltage; Transistors; Near-Threshold Computing; low-power design; parallelization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    0738-100X
  • Print_ISBN
    978-1-4503-1199-1
  • Type

    conf

  • Filename
    6241649