• DocumentCode
    3498547
  • Title

    Congestion estimation for 3D routing

  • Author

    Cheng, Lerong ; Hung, William N N ; Yang, Guowu ; Song, Xiaoyu

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Portland State Univ., OR, USA
  • fYear
    2004
  • fDate
    19-20 Feb. 2004
  • Firstpage
    239
  • Lastpage
    240
  • Abstract
    Three-dimensional (3D) routing is an important step in deep sub-micron VLSI design. Given a 3D grid graph and a set of two-terminal nets to be routed, we propose a probabilistic model to calculate the routing density (congestion) on each edge of the grid graph. The routing density provides direct congestion estimation. Our experimental results demonstrate the effectiveness of the method on routing benchmarks.
  • Keywords
    VLSI; estimation theory; graphs; probability; routing protocols; 3D grid graph; 3D routing; congestion estimation; deep sub-micron VLSI design; probabilistic model; routing benchmarks; routing density; two-terminal nets; Joining processes; Law; Legal factors; Process design; Routing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI, 2004. Proceedings. IEEE Computer society Annual Symposium on
  • Print_ISBN
    0-7695-2097-9
  • Type

    conf

  • DOI
    10.1109/ISVLSI.2004.1339541
  • Filename
    1339541