• DocumentCode
    7691
  • Title

    Dark Silicon Aware Multicore Systems: Employing Design Automation With Architectural Insight

  • Author

    Allred, Jason M. ; Roy, Sanghamitra ; Chakraborty, Koushik

  • Author_Institution
    Electr. & Comput. Eng. Dept., Utah State Univ., Logan, UT, USA
  • Volume
    22
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1192
  • Lastpage
    1196
  • Abstract
    The emergence of dark silicon-a fundamental design constraint absent in past generations-brings intriguing challenges and opportunities to microprocessor design. In this brief, we demonstrate the challenges of comparing competing design styles across different technology generations in a dark silicon era. We provide a new metric to guide a dark silicon aware (DSA) system design and propose a stochastic optimization algorithm for DSA multicore system design. Our technique shows 11%-58% and 5.7-5.8 times improvement in energy efficiency for forthcoming technology generations with two multicore design styles: cores with various voltage-frequency domains and cores with heterogeneous microarchitectures.
  • Keywords
    circuit CAD; circuit optimisation; elemental semiconductors; multiprocessing systems; silicon; Si; dark silicon aware multicore systems; design automation; energy efficiency; heterogeneous microarchitectures; stochastic optimization algorithm; voltage-frequency domains; Dark silicon; heterogeneity; multicore; multicore.;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2013.2265338
  • Filename
    6545364