DocumentCode :
1855478
Title :
Genetic-based rotation assignment in macro cell layout
Author :
Yan, Jin-Tai
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
1
fYear :
1995
fDate :
13-16 Aug 1995
Firstpage :
330
Abstract :
In this paper, genetic-based rotation assignment is proposed to minimize total wire length in a macro cell layout. In general, the placement phase in physical design places a set of macro cells with minimum area or total wire length. It is assumed that all the pins on the macro cells have been assigned on the fixed positions after the placement phase. In order to reduce the routing area, another advanced improvement will be done to minimize total wire length by assigning the rotation states of macro cells. In genetic-based rotation assignment, we represent each cell in a macro cell layout by two rotation bits. Furthermore, the genetic approach assigns the feasible rotation states to minimize total wire length. Finally, the proposed approach has been implemented and tested on several benchmarks. The experimental results show that the proposed genetic-based rotation assignment is effective on these tested benchmarks
Keywords :
VLSI; circuit layout CAD; genetic algorithms; integrated circuit layout; network routing; VLSI; benchmarks; genetic-based rotation assignment; macro cell layout; placement phase; rotation states; routing area; total wire length; Benchmark testing; Circuit testing; Design automation; Genetics; Information science; Phase measurement; Pins; Position measurement; Routing; Semiconductor device measurement; Very large scale integration; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
Type :
conf
DOI :
10.1109/MWSCAS.1995.504444
Filename :
504444
Link To Document :
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