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<p>An analytical model is presented for assessing the performance of multilayer neuralnetworks implemented in linear arrays. Metrics to assess latency, throughput rate, andcomputational and input-output bandwidth are developed. These metrics demonstrate arich and complex interaction between the performance of the hardware and the numberand relative dimensions of the layers in a network. Practical illustration of the use ofthese metrics is demonstrated for a two-hidden-layer network.</p>
Index Termsfeedforward neural nets; systolic arrays; performance evaluation; multilayer perceptrons;performance model; multilayer neural networks; linear arrays; latency; throughput rate;input-output bandwidth; performance; two-hidden-layer network
S. Jones, D. Naylor, "A Performance Model for Multilayer Neural Networks in Linear Arrays", IEEE Transactions on Parallel & Distributed Systems, vol. 5, no. , pp. 1322-1328, December 1994, doi:10.1109/71.334906
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