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Neural network based approach to standard cell placement

Rao, Sreenivasa D and Patnaik, LM (1989) Neural network based approach to standard cell placement. In: Electronics Letters, 25 (3). 208 -209.

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Abstract

We propose a novel algorithm for placement of standard cells in VLSI circuits based on an analogy of this problem with neural networks. By employing some of the organising principles of these nets, we have attempted to improve the behaviour of the bipartitioning method as proposed by Kernighan and Lin. Our algorithm yields better quality placements compared with the above method, and also makes the final placement independent of the initial partition.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to The Institution of Electrical Engineers.
Keywords: Neural networks;Standard cell placement; Bipartitionmy;Hebb’s rule;Integrated circuits;LSI.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 19 Oct 2010 08:59
Last Modified: 19 Oct 2010 08:59
URI: http://eprints.iisc.ernet.in/id/eprint/33230

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