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|Title:||An efficient mapping algorithm of multilayer perceptron on mesh-connected architectures||Authors:||Ayoubi, Rafic
Bayoumi, Magdy A.
Chouemi, A. El
|Affiliations:||Department of Computer Engineering||Keywords:||Backpropagation
Feedforward neural nets
|Subjects:||Parallel algorithms||Issue Date:||2002||Publisher:||IEEE||Part of:||Conference Proceedings of the IEEE Fifteenth Anuual International Phoenix Conference on Computers And Communications||Conference:||Annual International Phoenix Conference on Computers and Communications (15th : 27-29 March 1996 : Scottsdale, AZ, USA, USA)||Abstract:||
This paper presents a new efficient parallel implementation of neural networks on mesh-connected SRMD machines. A new algorithm to implement the recall and training phases of the multilayer feedforward network with back-error propagation is devised. The developed algorithm is much faster than other known algorithms; 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.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/515||Ezproxy URL:||Link to full text||Type:||Conference Paper|
|Appears in Collections:||Department of Computer Engineering|
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