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
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