• DocumentCode
    2232637
  • Title

    Characterization and parameterized random generation of digital circuits

  • Author

    Hutton, Michael ; Grossman, J.P. ; Rose, Jonathan ; Carneil, D.

  • Author_Institution
    Dept. of Comput. Sci., Toronto Univ., Ont., Canada
  • fYear
    1996
  • fDate
    3-7 Jun, 1996
  • Firstpage
    94
  • Lastpage
    99
  • Abstract
    The development of new Field-Programmed, Mask-Programmed and Laser-Programmed Gate Array architectures is hampered by the lack of realistic test circuits that exercise both the architectures and their automatic placement and routing algorithms. In this paper, we present a method and a tool for generating parameterized and realistic random circuits. To obtain the realism, we propose a set of graph-theoretic characteristics that describe a physical netlist, and have built a tool that can measure these characteristics on existing circuits. The generation tool uses the characteristics as constraints in the random circuit generation. To validate the quality of the generated netlists, parameters that are not specified in the generation are compared with those of real circuits, and with those of “random” graphs
  • Keywords
    application specific integrated circuits; circuit CAD; circuit analysis computing; digital circuits; field programmable gate arrays; graph theory; logic CAD; network routing; automatic placement algorithms; digital circuits; field-programmed gate array architectures; generated netlists; graph-theoretic characteristics; laser-programmed gate array architectures; mask-programmed gate array architectures; parameterized random generation; random circuit generation; realistic test circuits; routing algorithms; Benchmark testing; Character generation; Circuit testing; Computer architecture; Computer science; Delay; Digital circuits; Permission; Pins; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference Proceedings 1996, 33rd
  • Conference_Location
    Las Vegas, NV
  • ISSN
    0738-100X
  • Print_ISBN
    0-7803-3294-6
  • Type

    conf

  • DOI
    10.1109/DAC.1996.545553
  • Filename
    545553