• DocumentCode
    928789
  • Title

    Traffic: a novel geometric algorithm for fast wire-optimized floorplanning

  • Author

    Sassone, Peter G. ; Lim, Sung Kyu

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA
  • Volume
    25
  • Issue
    6
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    1075
  • Lastpage
    1086
  • Abstract
    As the size and complexity of very large scale integrated (VLSI) circuits increase, the need for faster floorplanning algorithms also grows. This paper introduces trapezoidal floorplanning for integrated circuits (Traffic), a new method for creating wire- and area-optimized floorplans. Through the use of connectivity grouping, simple geometry, and a constrained brute-force approach, Traffic achieves an average of 18% lower wire estimate than simulated annealing (SA) in orders of magnitude less time. This speed allows designers to rapidly explore a large circuit design space, to evaluate small changes to big circuits, to fit bounding boxes, and to produce initial solutions for other floorplanning algorithms
  • Keywords
    VLSI; circuit optimisation; geometric programming; integrated circuit interconnections; integrated circuit layout; Traffic; VLSI circuits; area-optimized floorplans; connectivity grouping; constrained brute-force approach; fast wire-optimized floorplanning; geometric algorithm; simulated annealing; trapezoidal floorplanning; very large scale integrated circuits; Circuit synthesis; Computational geometry; Partitioning algorithms; Shape; Simulated annealing; Solid modeling; Space technology; Traffic control; Very large scale integration; Wire; Constructive floorplanning; fixed-outline floorplanning; wire optimization;
  • fLanguage
    English
  • Journal_Title
    Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0070
  • Type

    jour

  • DOI
    10.1109/TCAD.2005.855921
  • Filename
    1629141