• DocumentCode
    3191156
  • Title

    A novel clustering scheme for reduced-order macromodeling of massively coupled interconnect structures

  • Author

    Nouri, Behzad ; Nakhla, Michel S. ; Achar, Ramachandra

  • Author_Institution
    Dept. of Electron., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2010
  • fDate
    25-27 Oct. 2010
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    An efficient clustering scheme for macromodeling of massively coupled interconnect structures is presented. The proposed method addresses the issue of dense reduced models through a novel reduction algorithm that leads to sparse block-diagonal system matrices. It also overcomes the accuracy degradation, normally associated with the existing port-reduction techniques.
  • Keywords
    integrated circuit design; integrated circuit interconnections; integrated circuit modelling; matrix algebra; clustering scheme; massively coupled interconnect structure; port reduction technique; reduced order macromodeling; sparse block diagonal system matrix; Clustering algorithms; Computational modeling; Design automation; Integrated circuit interconnections; Integrated circuit modeling; Mathematical model; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Performance of Electronic Packaging and Systems (EPEPS), 2010 IEEE 19th Conference on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-6865-2
  • Electronic_ISBN
    978-1-4244-6866-9
  • Type

    conf

  • DOI
    10.1109/EPEPS.2010.5642548
  • Filename
    5642548
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3191156