A parallel neurochip for neural networks implementing the reactive tabu search algorithm: application case studies
Giovanni Danese, Ivo De Lotto, Francesco Leporati, A. Quaglini, Stefano Ramat, G. Tecchioili · 2002
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.