• DocumentCode
    3018216
  • Title

    Model order-reduction of RC(L) interconnect including variational analysis

  • Author

    Liu, Ying ; Pileggi, Lawrence T. ; Strojwas, Andrzej J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    As interconnect feature sizes continue to scale to smaller dimensions, long interconnect can dominate the IC timing performance, but the interconnect parameter variations make it difficult to predict these dominant delay extremes. This paper presents a model order-reduction technique for RLC interconnect circuits that includes variational analysis to capture manufacturing variations. Matrix perturbation theory is combined with dominant-pole-analysis and Krylov-subspace-analysis methods to produce reduced-order models with direct inclusion of statistically independent manufacturing variations. The accuracy of the resulting variational reduced-order models is demonstrated on several industrial examples
  • Keywords
    distributed parameter networks; integrated circuit interconnections; integrated circuit modelling; linear network analysis; matrix algebra; perturbation techniques; reduced order systems; variational techniques; IC timing performance; Krylov-subspace-analysis methods; RCL interconnect circuits; dominant-pole-analysis; interconnect parameter variations; manufacturing variations; matrix perturbation theory; model order-reduction; variational analysis; variational reduced-order models; Delay; Fluctuations; Integrated circuit interconnections; Manufacturing industries; Manufacturing processes; Permission; RLC circuits; Reduced order systems; Timing; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 1999. Proceedings. 36th
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-58113-092-9
  • Type

    conf

  • DOI
    10.1109/DAC.1999.781312
  • Filename
    781312