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A parallel simulation of fully connected neural networks on a WK-recursive topology

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4 Author(s)
D'Acierno, A. ; Istituto per la Ricerca sui Sistemi Inf. Paralleli, Napoli, Italy ; Del Balio, R. ; De Pietro, G. ; Vaccaro, R.

The authors evaluate a fixed-size WK-recursive topology for the distributed parallel simulation of fully connected neural networks. To obtain performance improvements in the design of the parallel algorithm, a systolic strategy was used, in order to guarantee the overlapping between elaboration and communication and the locality of communications, so that a routing is not required. After an introduction of the WK-recursive topology, a performance evaluation was undertaken, and the results are compared with those obtained by using as a target topology a ring of processors and a torus of processors. It is shown how the WK-recursive configuration and the systolic strategy lead to performance enhancement for this class of neural networks

Published in:

Neural Networks, 1991. 1991 IEEE International Joint Conference on

Date of Conference:

18-21 Nov 1991