• DocumentCode
    2035865
  • Title

    Using dataflow principle to exploit restricted AND-parallelism in logic programs

  • Author

    Kang Zhang

  • Author_Institution
    Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
  • Volume
    1
  • fYear
    1993
  • fDate
    19-21 Oct. 1993
  • Firstpage
    150
  • Abstract
    To improve the execution speed of logic programs, exploiting parallelism has proved promising. The paper presents a scheme supporting Restricted AND-parallelism improved over a previous scheme by exploiting more parallelism. The scheme is based on dataflow computation and implemented in a non-shared execution model, and thus taking advantages of distributed binding results. Comparison with the previous scheme is discussed and some examples given.<>
  • Keywords
    logic programming; parallel programming; dataflow computation; dataflow principle; distributed binding results; logic programs; non-shared execution model; parallelism; restricted AND-parallelism; Computational modeling; Concurrent computing; Data analysis; Logic; Parallel processing; Runtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-1233-3
  • Type

    conf

  • DOI
    10.1109/TENCON.1993.319950
  • Filename
    319950