• DocumentCode
    1969073
  • Title

    Improving the accuracy of on-chip parasitic extraction

  • Author

    Huang, Ching-Chao ; Oh, Kyung Suk ; Wang, Shun-Lien ; Panchapakesan, Sridhar

  • Author_Institution
    Technol. Modeling Assoc. Inc., Sunnyvale, CA, USA
  • fYear
    1997
  • fDate
    27-29 Oct. 1997
  • Firstpage
    42
  • Lastpage
    45
  • Abstract
    The rule-based layout parameter extraction (LPE) tools are most often used to extract the full-chip parasitics, but their accuracy strongly depends on how the capacitance models are specified. This paper shows that the generation of accurate capacitance models can be automated with thousands of field-solver simulations and nonlinear regression. The fundamental limitations of LPE tools are discussed. Finally, a 3D Monte-Carlo field solver is used to validate and further improve the LPE results.
  • Keywords
    Monte Carlo methods; VLSI; capacitance; circuit analysis computing; circuit layout CAD; integrated circuit design; knowledge based systems; parameter estimation; 3D Monte-Carlo field solver; capacitance models; field-solver simulations; full-chip parasitics; nonlinear regression; on-chip parasitic extraction; rule-based layout parameter extraction; Conductors; Data mining; Delay; Finite difference methods; Inductance; Parameter extraction; Parasitic capacitance; Time to market; Timing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Performance of Electronic Packaging, 1997., IEEE 6th Topical Meeting on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-7803-8649-3
  • Type

    conf

  • DOI
    10.1109/EPEP.1997.634035
  • Filename
    634035