A Conceptual Framework for Implementing Neural Networks on Massively Parallel Machines


This paper describes a framework for implementing neural networks on massively parallel machines. The framework is generic and applies to a range of neural networks (Multi h y e r Perceptron, Competitive Learning, Self-organking Map, etc.) as well as a range of massively parallel machines (Connection Machine, Distributed Array Processor, MasPar). It… (More)
DOI: 10.1109/IPPS.1992.222973


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