• DocumentCode
    2156839
  • Title

    Parallelization of scheduling algorithms

  • Author

    Wu, Min-You ; Shu, Wei

  • Author_Institution
    Dept. of Comput. Sci., State Univ. of New York, Buffalo, NY, USA
  • fYear
    1996
  • fDate
    12-14 Jun 1996
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    Most static scheduling algorithms that schedule parallel programs represented by directed acyclic graphs (DAGs) are sequential. Parallelization of scheduling algorithms is a new research area. This paper discusses the essential issues of parallel static scheduling and presents an efficient parallel scheduling algorithm, the HPMCP algorithm. The proposed algorithm has been implemented on an Intel Paragon machine. It produces high-quality scheduling and is much faster than existing sequential and parallel algorithms
  • Keywords
    data flow graphs; parallel programming; processor scheduling; HPMCP algorithm; Intel Paragon; parallel scheduling; parallel static scheduling; scheduling algorithms; Algorithm design and analysis; Computer science; Concurrent computing; Delay effects; Joining processes; NP-complete problem; Parallel algorithms; Processor scheduling; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Architectures, Algorithms, and Networks, 1996. Proceedings., Second International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    1087-4089
  • Print_ISBN
    0-8186-7460-1
  • Type

    conf

  • DOI
    10.1109/ISPAN.1996.509009
  • Filename
    509009