• DocumentCode
    3384825
  • Title

    A multi-core high performance computing framework for distribution power flow

  • Author

    Tao Cui ; Franchetti, F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2011
  • fDate
    4-6 Aug. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    There is an enormous growth in performance capability of computing platform in the last decade. The parallelism becomes an inevitable trend for future computing hardware / software design. Motivated by the practical computation performance demands in power system, especially distribution system, and the advances in modern computing platform, we developed a high performance parallel distribution power flow solver for Monte Carlo styled application. From computer architecture and programming point of view, we show that by applying various performance tuning techniques and parallelization, our distribution power flow solver is able to achieve 50% of a CPU´s theoretical peak performance. That is 50x speedup comparing to an already fully compiler-optimized C++ implementation.
  • Keywords
    Monte Carlo methods; distribution networks; load flow; multiprocessing systems; parallel architectures; CPU; Monte Carlo application; computer architecture; computer programming; computing platform performance capability; hardware-software design; high performance parallel distribution power flow solver; multicore high performance computing; performance tuning technique; power distribution system; Arrays; Computational modeling; Hardware; Instruction sets; Monte Carlo methods; Parallel programming; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2011
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4577-0417-8
  • Electronic_ISBN
    978-1-4577-0418-5
  • Type

    conf

  • DOI
    10.1109/NAPS.2011.6024883
  • Filename
    6024883