• DocumentCode
    2331785
  • Title

    A nonlinear cell macromodel for digital applications

  • Author

    Kashyap, Chandramouli ; Amin, Chirayu ; Menezes, Noel ; Chiprout, Eli

  • Author_Institution
    Intel Corp., Hillsboro
  • fYear
    2007
  • fDate
    4-8 Nov. 2007
  • Firstpage
    678
  • Lastpage
    685
  • Abstract
    Current source models have emerged as a promising technique for reducing digital cell netlists to a simpler electrical model for use in timing and other applications. The multipart current source model (MCSM) is one of the most general models in this class, which has been shown to handle multiple electrical effects including multiple-input switching (MIS) events in timing. However, this new model is hampered by two major problems: port characterization runtime and accuracy across a range of complicated cells which are deployed in advanced microprocessor design such as complex combinational cells, muxes, and sequentials. In this paper we demonstrate a significant leap in modeling accuracy and characterization runtime over the MCSM model which effectively eliminates these remaining issues. The quality of the new approach is conclusively demonstrated on a comprehensive 45nm cell library currently in use. The new approach accurately models both complex combinational as well as, for the first time, sequential cells, and puts MCSM s on the path for next generation gate level electrical analysis.
  • Keywords
    constant current sources; delay circuits; multiport networks; advanced microprocessor design; digital cell netlists; multipart current source model; multiple-input switching; next generation gate level electrical analysis; nonlinear cell macromodel; port characterization; Art; Capacitance; Delay effects; Inverters; Libraries; Microprocessors; Reduced order systems; Runtime; Timing; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design, 2007. ICCAD 2007. IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-4244-1381-2
  • Electronic_ISBN
    1092-3152
  • Type

    conf

  • DOI
    10.1109/ICCAD.2007.4397344
  • Filename
    4397344