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Mapping of Neural Network Models onto Systolic Arrays

✍ Scribed by Sudipta Mahapatra; Rabi N. Mahapatra

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
220 KB
Volume
60
Category
Article
ISSN
0743-7315

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✦ Synopsis

This paper presents a mapping scheme for the proposed implementation of neural network models on systolic arrays. The mapping technique is illustrated on the multilayer perceptron with back-propagation learning. Dependency graphs have been given that represent the operations in the execution phases of the neural network model and later suitable algorithms are presented to realize the operations in a linear bidirectional systolic array. The speedup metric has been used to evaluate the performance of the proposed implementation.

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