• DocumentCode
    3276739
  • Title

    Allocation and binding in data path synthesis using a genetic algorithm approach

  • Author

    Mandal, C.A. ; Chakrabarti, P.P. ; Ghose, S.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Jadavpur Univ., Calcutta, India
  • fYear
    1996
  • fDate
    3-6 Jan 1996
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    A technique for allocation and binding for data path synthesis (DPS) using a Genetic Algorithm (GA) approach has been developed. The proposed genetic algorithm uses a non-conventional crossover mechanism, relying on a novel force directed data path binding completion algorithm. The proposed technique has a number of features such as acceptance of some design parameters from the user, use of a bus based topology, use of multi-port memories and provision for multi-cycling and pipelining, among other features. The results obtained on the standard examples are promising
  • Keywords
    VLSI; circuit CAD; genetic algorithms; high level synthesis; integrated circuit design; allocation; binding; bus based topology; data path synthesis; design parameters; force directed data path binding completion algorithm; genetic algorithm; logic CAD; multicycling; multiport memories; nonconventional crossover mechanism; pipelining; Arithmetic; Costs; Genetic algorithms; Hardware; Integrated circuit interconnections; Pipeline processing; Routing; Testing; Topology; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design, 1996. Proceedings., Ninth International Conference on
  • Conference_Location
    Bangalore
  • ISSN
    1063-9667
  • Print_ISBN
    0-8186-7228-5
  • Type

    conf

  • DOI
    10.1109/ICVD.1996.489470
  • Filename
    489470