• DocumentCode
    639319
  • Title

    Coordinated power-performance optimization in manycores

  • Author

    Kuck, David

  • Author_Institution
    Intel Corp., Hillsboro, OR, USA
  • fYear
    2013
  • fDate
    7-11 Sept. 2013
  • Firstpage
    51
  • Lastpage
    62
  • Abstract
    Summary form only given. Energy/performance results for parallel (and sequential) computing are still, usually hard to predict and often disappointing. A model using invariant-based equations is being applied to predict energy/performance as HW and SW are changed in codesign studies. The physical model consists of HW nodes chosen to match architectural issues, together with automatically extracted SW codelets that are easy to measure and model. HW/SW measurements of computational capacity (BW used) and power [based on HW counters and SW modification (Decan)] are used by the Cape tool to evaluate tradeoffs quickly and find optimal solutions to various codesign problems. Codelets from a number of real applications are being analyzed and modeled.
  • Keywords
    hardware-software codesign; HW nodes; HW/SW codesign comprehensive approach; HW/SW measurements; computational capacity; energy performance; invariant based equations; Abstracts; Awards activities; Biological system modeling; Computational modeling; Equations; Mathematical model; Predictive models; DVFs; manycore processor; power budget allocation; power-performance optimization; runtime system; scalability; thread packing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Architectures and Compilation Techniques (PACT), 2013 22nd International Conference on
  • Conference_Location
    Edinburgh
  • ISSN
    1089-795X
  • Print_ISBN
    978-1-4799-1018-2
  • Type

    conf

  • DOI
    10.1109/PACT.2013.6618796
  • Filename
    6618796