DocumentCode :
3163331
Title :
Multichip module placement with heat consideration
Author :
Tang, Man Chak ; Carothers, Jo Dale
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fYear :
1996
fDate :
23-27 Sep 1996
Firstpage :
175
Lastpage :
178
Abstract :
A new algorithm for multichip module placement, MPH, using a combined quad-partitioning, genetic search and simulated annealing approach is presented here. In addition to minimizing wire length and vias, the algorithm places chips so that heat is evenly distributed over the substrate. The proposed algorithm obtains better solutions in less time than the simulated annealing and min-cut algorithms on the MCC industrial multichip module (MCM) benchmarks. In addition to the MCC benchmarks, industrial benchmarks for macrocell placement are used for testing the general placement power of the MPH algorithm. Results of these test cases are also presented
Keywords :
circuit optimisation; genetic algorithms; integrated circuit layout; multichip modules; simulated annealing; MCC industrial benchmark; MPH algorithm; chip placement; genetic search; heat distribution; macrocell placement; multichip module; quad-partitioning; simulated annealing; via minimization; Benchmark testing; Computational modeling; Convergence; Genetics; Iterative algorithms; Iterative methods; Multichip modules; Partitioning algorithms; Simulated annealing; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ASIC Conference and Exhibit, 1996. Proceedings., Ninth Annual IEEE International
Conference_Location :
Rochester, NY
ISSN :
1063-0988
Print_ISBN :
0-7803-3302-0
Type :
conf
DOI :
10.1109/ASIC.1996.551988
Filename :
551988
Link To Document :
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