• DocumentCode
    2544887
  • Title

    A Fast and Stable Algorithm for Obstacle-Avoiding Rectilinear Steiner Minimal Tree Construction

  • Author

    Wu, Pei-Ci ; Gao, Jhih-Rong ; Wang, Ting-Chi

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu
  • fYear
    2007
  • fDate
    23-26 Jan. 2007
  • Firstpage
    262
  • Lastpage
    267
  • Abstract
    In routing, finding a rectilinear Steiner minimal tree (RSMT) is a fundamental problem. Today´s design often contains rectilinear obstacles, like macro cells, IP blocks, and pre-routed nets. Therefore obstacle-avoiding RSMT (OARSMT) construction becomes a very practical problem. In this paper we present a fast and stable algorithm for this problem. We use a partitioning based method and an ant colony optimization based method to construct obstacle-avoiding Steiner minimal tree (OASMT). Besides, two heuristics are proposed to do the rectilinearization and refinement to further improve wirelength. The experimental results show our algorithm achieves the best wirelength results in most of the test cases and the runtime is very small even for the larger cases each of which has both the number of terminals and the number of obstacles more than 100.
  • Keywords
    circuit CAD; genetic algorithms; integrated circuit interconnections; trees (mathematics); ant colony optimization; improved wirelength; obstacle-avoiding Steiner minimal tree; partitioning based method; rectilinear Steiner minimal tree construction; rectilinear obstacles; Ant colony optimization; Circuit testing; Computer science; Partitioning algorithms; Routing; Runtime; Steiner trees; Tree graphs; Ultra large scale integration; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2007. ASP-DAC '07. Asia and South Pacific
  • Conference_Location
    Yokohama
  • Print_ISBN
    1-4244-0629-3
  • Electronic_ISBN
    1-4244-0630-7
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2007.357996
  • Filename
    4196042