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Performance-driven MCM partitioning through an adaptive genetic algorithm

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2 Author(s)
S. Raman ; Semicond. Products Sector, Motorola Inc., Austin, TX, USA ; L. M. Patnaik

We present a novel genetic algorithm-based partitioning scheme for Multi-Chip Modules (MCMs) which integrates four performance constraints simultaneously: pin count, area, heat dissipation and timing. Experimental studies demonstrate the superiority of this method over deterministic Fiduccia Mattheyes (FM) algorithm and simulated annealing (SA) technique. The algorithm performs better than another such algorithm recently reported. The adaptive change of crossover and mutation probabilities results in better convergence

Published in:

ASIC Conference and Exhibit, 1995., Proceedings of the Eighth Annual IEEE International

Date of Conference:

18-22 Sep 1995