• DocumentCode
    627051
  • Title

    Analytic modeling of interconnect capacitance in submicron and nanometer technologies

  • Author

    Shomalnasab, Gholamreza ; Heys, Howard M. ; Lihong Zhang

  • Author_Institution
    Electr. & Comput. Eng. Dept., Memorial Univ. of Newfoundland, St. John´s, NL, Canada
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    2553
  • Lastpage
    2556
  • Abstract
    Parasitic capacitance of interconnects in the analog and mixed-signal VLSI circuits can be modeled by using physics equations or empirical curve fitting. In this paper, we propose an analytical model for computing parasitic capacitance between interconnects on different layers or on the same layer. In our method, electric flux is approximated to model different capacitive components, which combine to determine the overall equivalent capacitance. We first derive a general template for the fringe capacitance based on fundamental electromagnetic principles, followed by a fitting technique in order to reach outstanding accuracy. Based on our approach that includes no complex operators, capacitance of typical interconnect geometries can be efficiently computed. The proposed model is verified in comparison with the extracted results derived from commercial tools. The experimental results show that our proposed method can best approach the extracted results yet with significantly reduced computation time.
  • Keywords
    VLSI; capacitance; mixed analogue-digital integrated circuits; analytic modeling; capacitive component; curve fitting; electric flux; electromagnetic principles; equivalent capacitance; fringe capacitance; interconnect capacitance; mixed signal VLSI circuit; nanometer technology; parasitic capacitance; physics equation; submicron technology; Capacitance; Computational modeling; Equations; Integrated circuit interconnections; Integrated circuit modeling; Mathematical model; Metals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6572399
  • Filename
    6572399