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
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