• DocumentCode
    709661
  • Title

    Efficient method for predective modeling of irregular shaped Power Distribution Network

  • Author

    Bouchaala, Afef ; Courau, Lionel ; Bonnaud, Olivier ; Galy, Philippe

  • Author_Institution
    IETR, Univ. of Rennes1, France
  • fYear
    2015
  • fDate
    14-17 April 2015
  • Firstpage
    752
  • Lastpage
    756
  • Abstract
    Due to the high speed and system miniaturization trends, predictive modeling of Power Distribution Network (PDN) in modern multilayered packages and boards becomes more and more important. In this paper, an efficient methodology for predictive modeling of multilayered PDNs with irregular shapes and discontinuities is discussed. This method is based on MultiConductor Transmission Lines (MCTLs) chich will be modeled by W-Elements. To validate the modeling technique, test structures were designed and simulated up to 15 GHz. A good correlation was obtained between model and full-wave solver based on the method of Moments. The proposed model substantially reduces the CPU run time and memory resources that require only few seconds and small memory for which the EM solver would have taken several minutes and much more memory.
  • Keywords
    distribution networks; method of moments; multiconductor transmission lines; packaging; MCTL; W-Elements; full-wave solver; irregular shaped power distribution network; memory resource; method of moments; modern multilayered packages; multiconductor transmission lines; predictive modeling; time resource; Dielectric losses; Finite element analysis; Integrated circuit modeling; Memory management; Noise; Predictive models; MCTL; W-Element; arbitrary shaped planes; multilayered PDN; preditcive model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Packaging and iMAPS All Asia Conference (ICEP-IACC), 2015 International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-4-9040-9012-1
  • Type

    conf

  • DOI
    10.1109/ICEP-IAAC.2015.7111110
  • Filename
    7111110