A parallel neurochip for neural networks implementing the reactive tabu search algorithm: application case studies

Author

Danese, G. ; De Lotto, I. ; Leporati, F. ; Quaglini, A. ; Ramat, S. ; Tecchioili, G.

Author_Institution

Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy

fYear

2001

fDate

2001

Firstpage

273

Lastpage

280

Abstract

In this work we present two different applications implemented on the neurocomputer Totem Nc3001 from Neuricam Inc. The goal of the experimentation is to test, on real problems, the performance of this powerful parallel unit consisting of 32 Digital Signal Processors (DSPs) and to evaluate its suitability to neural network applications. The first problem implemented is a typical classification algorithm in which the network recognises which points belong to different regions inside a 2D space. The second problem is more computationally heavy and consists of a network able to reproduce the eye movements, if properly stimulated. A comparison is reported between Matlab implementations or handwritten code run on workstations and the performance obtained from the Totem chip

Keywords

neural chips; search problems; Totem Nc3001; neural network applications; neural networks; neurocomputer; parallel neurochip; reactive tabu search; Artificial neural networks; Circuit simulation; Computational modeling; Digital signal processing; Digital signal processors; Mathematical model; Multilayer perceptrons; Neural networks; Signal processing algorithms; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing, 2001. Proceedings. Ninth Euromicro Workshop on

Conference_Location

Mantova

Print_ISBN

0-7695-0987-8

Type

conf

DOI

10.1109/EMPDP.2001.905053

Filename

905053