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Title: Efficient mapping algorithm of multilayer neural network on torus architecture
Authors: Ayoubi, Rafic 
Bayoumi, Magdy A.
Affiliations: Department of Computer Engineering 
Keywords: Feedforward neural nets
Multilayer perceptrons
Parallel architectures
Neural net architecture
Parallel machines
Issue Date: 2003
Part of: IEEE transactions on parallel and distributed systems
Volume: 14
Issue: 9
Start page: 932
End page: 943
This paper presents a new efficient parallel implementation of neural networks on mesh-connected SIMD machines. A new algorithm to implement the recall and training phases of the multilayer perceptron network with back-error propagation is devised. The developed algorithm is much faster than other known algorithms of its class and comparable in speed to more complex architecture such as hypercube, without the added cost; it requires O(1) multiplications and O(log N) additions, whereas most others require O(N) multiplications and O(N) additions. The proposed algorithm maximizes parallelism by unfolding the ANN computation to its smallest computational primitives and processes these primitives in parallel.
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Computer Engineering

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