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Parallel simulation of cellular neural networks

Authors :
Fortuna, L.
Manganaro, G.
Muscato, G.
Nunnari, G.
Source :
Computers & Electrical Engineering. Jan, 1996, Vol. 22 Issue 1, p61, 24 p.
Publication Year :
1996

Abstract

In this paper a new simulator for cellular neural networks (CNN) called PSIMCNN is presented. It has been studied for a parallel general-purpose computing architecture based on transputers. The Gauss-Jacobi waveform relaxation (WR) algorithm has been adopted. It has been analytically proved that the WR algorithm is convergent for the most common CNN models. Implementation issues have been described and some experimental results comprising classical CNN and Chua circuits CNN simulations have been presented. Parallelism and performances have been investigated. Moreover, a comparison with the CNN-HAC simulator is reported. Key words: Cellular neural networks, simulators, non-linear circuits, transputer, parallel processing.

Details

ISSN :
00457906
Volume :
22
Issue :
1
Database :
Gale General OneFile
Journal :
Computers & Electrical Engineering
Publication Type :
Academic Journal
Accession number :
edsgcl.18120671