Massively parallel processing implementation of the toroidal neural networks

P. Palazzari, M. Coli, R. Rughi

Research output: Contribution to conference › Paper

Abstract

The parallel processing implementations of discrete time cellular neural networks (DT-CNN) that is the toroidal neural networks (TNN) were investigated. The development of learning algorithms and the implementation of TNN on APE100/quadrics massive parallel system were analyzed. Comparisons with the previous DT-CNN massive parallel systems were performed.

title = "Massively parallel processing implementation of the toroidal neural networks",

abstract = "The parallel processing implementations of discrete time cellular neural networks (DT-CNN) that is the toroidal neural networks (TNN) were investigated. The development of learning algorithms and the implementation of TNN on APE100/quadrics massive parallel system were analyzed. Comparisons with the previous DT-CNN massive parallel systems were performed.",

author = "P. Palazzari and M. Coli and R. Rughi",

year = "2000",

language = "English",

note = "Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) ; Conference date: 01-01-2000",

2000. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Unknown.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Massively parallel processing implementation of the toroidal neural networks

AU - Palazzari, P.

AU - Coli, M.

AU - Rughi, R.

PY - 2000

Y1 - 2000

N2 - The parallel processing implementations of discrete time cellular neural networks (DT-CNN) that is the toroidal neural networks (TNN) were investigated. The development of learning algorithms and the implementation of TNN on APE100/quadrics massive parallel system were analyzed. Comparisons with the previous DT-CNN massive parallel systems were performed.

AB - The parallel processing implementations of discrete time cellular neural networks (DT-CNN) that is the toroidal neural networks (TNN) were investigated. The development of learning algorithms and the implementation of TNN on APE100/quadrics massive parallel system were analyzed. Comparisons with the previous DT-CNN massive parallel systems were performed.

UR - http://www.scopus.com/inward/record.url?scp=0033696902&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033696902&partnerID=8YFLogxK

M3 - Paper

T2 - Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)