abstract

[Peter Wohl]

This is the abstract of a paper to appear in the Proceedings of the
International Conference on Parallel Processing, 08/13-17, 1990:

SIMD Neural Net Mapping on MIMD Architectures
=============================================

Peter Wohl and Thomas W. Christopher
Dept. of Computer Science
Illinois Institute of Technology
IIT Center, Chicago, IL 60616

Abstract
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The massively parallel, communication intensive SIMD algorithm of 
multilayer back-propagation neural networks was encoded for coarse
grained MIMD architectures using a relatively low level message-driven
programming paradigm. The computation / communication ratio was 
software adjusted by defining a "temporal window" grain over the set
of training instances. Extensive experiments showed an improvement
in multiprocessor utilization over similar reported results and the
simulator scaled up well with more complex networks on larger machines.
The code can be easily modified to accommodate back-prop variations,
like quickprop or cascade-correlation learning, as well as other
neural network architectures and learning algorithms.
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Copies of the paper can be obtained by writing to the authors at the above 
address, or email-ing to: thsspxw at iitmax.iit.edu (P. Wohl).

-Peter Wohl