• DocumentCode
    3278162
  • Title

    Analysis and synthesis of generalized task graphs

  • Author

    Kant, K.

  • Author_Institution
    Dept. of Comput. Sci., Pennsylvania State Univ., University Park, PA, USA
  • fYear
    1990
  • fDate
    9-13 Dec 1990
  • Firstpage
    570
  • Lastpage
    577
  • Abstract
    The author introduces the notion of generalized task graphs (GTG), that are useful in specifying the behavior of a richer class of concurrent programs than the classical task graphs. In general, such task graphs are not well-formed; therefore, the author examines necessary and sufficient conditions for well formedness. He introduces an algebra for describing well formed GTGs and shows how it can be exploited in synthesis, i.e. composing several GTGs into a single compact GTG, and analysis, i.e. obtaining completion time distributions
  • Keywords
    computational complexity; directed graphs; multiprocessing programs; parallel algorithms; parallel programming; programming theory; completion time distributions; computational complexity; concurrent programs; directed graphs; generalized task graphs; program specification; synthesis; task scheduling; well formedness; Algebra; Computer science; Petri nets; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing, 1990. Proceedings of the Second IEEE Symposium on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    0-8186-2087-0
  • Type

    conf

  • DOI
    10.1109/SPDP.1990.143606
  • Filename
    143606