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Transputer-Based Parallel Systems for Performance Evaluation of Bidirectional Associative Memory

Mahadevan, Indu and Patnaik, LM (1991) Transputer-Based Parallel Systems for Performance Evaluation of Bidirectional Associative Memory. In: 1991 IEEE International Joint Conference on Neural Networks, 18-21 November, Singapore, Vol.1, 2478-2483.

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Abstract

In this paper, we discuss parallel implementation of an artificial neural network for pattern association, the Bidirectional Associative Memory(BAM). Transputer-based parallel architectures like hypercube, mesh and linear array are used to exploit the parallelism in BAM. A comparitive study of utilization and speedup for various architectures is made. Hypercube performs better in terms of utilization and speedup when compared to the other architectures.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Information Sciences > Supercomputer Education & Research Centre
Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 29 May 2006
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ernet.in/id/eprint/7023

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