Neural network design for channel routing

Mehdi R. Zargham; Mohammed R. Sayeh

doi:10.1117/12.25813

1 March 1991 Neural network design for channel routing

Mehdi R. Zargham, Mohammed R. Sayeh

Author Affiliations +

Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25813
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

Abstract

The paper proposes a neural network model for two layer channel routing. We hope this research will lead to a better understanding of the capability and limitations of neural networks as a general design methodology and in particular when it is applied to the routing problem in the design of VLSI chips. In our model the neurons form a two dimensional array where the value of element N represents the " chances" of net i is positioned at track j. The strength of connections between neurons are defined such that to prevent horizontal conflict between nets and also optimize a number of important routing metrics such as: minimum routing area and minimum wire length. We ran several examples for most of the small size examples ( less than 1 5 nets ) we were able to obtain good solutions. However for larger size examples apart from the known problems of long simulation times the router was not able to find a solution in many cases. 1.

Citation Download Citation

Mehdi R. Zargham, Mehdi R. Zargham, Mohammed R. Sayeh, Mohammed R. Sayeh, "Neural network design for channel routing", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.25813; https://doi.org/10.1117/12.25813

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