• DocumentCode
    3374127
  • Title

    A symbolic simulation approach in resolving signals´ correlation

  • Author

    Dunoyer, Julien ; Abdallah, Nizar ; Sabet, Pirouz Bazargan

  • Author_Institution
    Lab. MASI, Univ. Pierre et Marie Curie, Paris, France
  • fYear
    1996
  • fDate
    8-11 Apr 1996
  • Firstpage
    203
  • Lastpage
    211
  • Abstract
    The probabilistic approach is widely used to analyze the power dissipation of digital circuits. The goal of the work is twofold. First, to present a method for providing an evaluation package of signal probabilities and transition densities that can be applied at different specification levels with more or less accuracy. A first order clue at the specification level may help synthesis tools in lowering power dissipation early in the design process. Second, to show how to deal with the well-known correlation problem using a symbolic simulation technique. Only one pass is required to compute a set of independent inputs for each signal in the circuit. At different stages, the algorithms take advantage of the binary decision diagram (BDD) concept
  • Keywords
    VLSI; circuit CAD; circuit analysis computing; correlation methods; decision theory; digital integrated circuits; digital simulation; integrated circuit design; logic CAD; probability; signal resolution; subroutines; symbol manipulation; algorithms; binary decision diagram concept; design process; digital circuits; evaluation package; first order clue; independent inputs; power dissipation; probabilistic approach; signal correlation resolution; signal probability; signal transition density; specification levels; symbolic simulation approach; synthesis tools; Circuit simulation; Circuit synthesis; Computational modeling; Data structures; Digital circuits; Packaging; Power dissipation; Process design; Signal resolution; Signal synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Symposium, 1996., Proceedings of the 29th Annual
  • Conference_Location
    New Orleans, LA
  • ISSN
    1080-241X
  • Print_ISBN
    0-8186-7432-6
  • Type

    conf

  • DOI
    10.1109/SIMSYM.1996.492168
  • Filename
    492168