• DocumentCode
    2547197
  • Title

    Fast timing analysis of plane circuits via two-layer CNN-based modeling

  • Author

    Tanji, Yuichi ; Asai, Hideki ; Oda, Masayoshi ; Nishio, Yoshifumi ; Ushida, Akio

  • Author_Institution
    Kagawa Univ.
  • fYear
    2006
  • fDate
    21-24 May 2006
  • Lastpage
    3741
  • Abstract
    A fast timing analysis of plane circuits via two-layer CNN-based modeling, which is necessary for the solution of power/signal integrity problems in printed circuit boards and packages, is presented. Using the new notation expressed by the two-layer CNN, more than 1500 times faster simulation is achieved, compared with Berkeley SPICE (ngspice). In CNN community, CNNs are generally simulated by explicit numerical integration algorithms such as the forward Euler and Runge-Kutta methods. However, since the system of the two-layer CNN becomes stiff, we cannot analyze the CNN by using an explicit numerical integration algorithm. Hence, to analyze the two-layer CNN and reduce the computational cost, the leapfrog method is introduced in this paper. This procedure would open a CNN application up to electronic design automation area
  • Keywords
    SPICE; cellular neural nets; circuit analysis computing; electronic design automation; integrated circuit modelling; timing; Berkeley SPICE; Euler methods; Runge-Kutta methods; electronic design automation; explicit numerical integration algorithm; fast timing analysis; leapfrog method; plane circuits; power integrity problems; printed circuit boards; printed circuit packages; signal integrity problems; two-layer CNN modeling; Cellular neural networks; Circuit analysis; Circuit simulation; Computational modeling; Numerical simulation; Packaging; Printed circuits; SPICE; Signal analysis; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
  • Conference_Location
    Island of Kos
  • Print_ISBN
    0-7803-9389-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2006.1693440
  • Filename
    1693440