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
Link To Document :
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