• DocumentCode
    310322
  • Title

    GEEP: a low power genetic algorithm layout system

  • Author

    Holt, Glenn ; Tyagi, Akhilesh

  • Author_Institution
    Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    18-21 Aug 1996
  • Firstpage
    1337
  • Abstract
    In this paper we present GEEP, a genetic algorithm for low power standard-cell placement. GEEP reduces interconnect capacitance by an average of 20% over recursive min-cut area optimizing placement. It incorporates a number of heuristics to produce good placements fast relative to existing GAs, including a novel method for handling low population diversity. We tested GEEP on a suite of MCNC benchmarks and found this hybrid approach successful in producing good post-placement results in a reasonable number of generations
  • Keywords
    VLSI; cellular arrays; circuit layout CAD; genetic algorithms; integrated circuit interconnections; integrated circuit layout; logic CAD; GEEP; MCNC benchmarks; VLSI; genetic algorithm; heuristics; interconnect capacitance; low power standard-cell placement; population diversity; post-placement results; Capacitance; Circuit synthesis; Clocks; Computer science; Genetic algorithms; Integrated circuit interconnections; Logic devices; Personal digital assistants; Routing; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996., IEEE 39th Midwest symposium on
  • Conference_Location
    Ames, IA
  • Print_ISBN
    0-7803-3636-4
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1996.593180
  • Filename
    593180