• DocumentCode
    2725253
  • Title

    A Paradigm of Extensions of Parallel Execution Model

  • Author

    Jun, Zhao ; Li-lun, Zhang ; Jun-qiang, Song

  • Author_Institution
    Inst. of Software, Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    2227
  • Lastpage
    2230
  • Abstract
    In this paper, the conception extension of parallel execution model in layered idea for parallel computation model research is proposed, in which not only compiling and optimal running are included, but also partial parallel programming for parallelizing the program execution. Breaking through the thinking set of parallel algorithm design and parallel programming, an actual problem, the numerical weather prediction post-processing system, is parallelized by using a job-level parallel method. By parallelizing the execution of program, the wall-time of post-processing system is decreased evidently and ideal parallel efficiency is obtained. This case can be regarded as a paradigm of extensions of parallel execution model.
  • Keywords
    parallel programming; job-level parallel method; numerical weather prediction post-processing system; parallel algorithm design; parallel computation model; parallel execution model; partial parallel programming; Computational modeling; Computers; Forecasting; Numerical models; Parallel processing; Predictive models; Weather forecasting; Job-level Parallel; Parallel Execution Model; Post-Processing System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.553
  • Filename
    6394871