Title :
A performance model for multilayer neural networks in linear arrays
Author :
Naylor, David ; Jones, Simon
Author_Institution :
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
fDate :
12/1/1994 12:00:00 AM
Abstract :
An analytical model is presented for assessing the performance of multilayer neural networks implemented in linear arrays. Metrics to assess latency, throughput rate, and computational and input-output bandwidth are developed. These metrics demonstrate a rich and complex interaction between the performance of the hardware and the number and relative dimensions of the layers in a network. Practical illustration of the use of these metrics is demonstrated for a two-hidden-layer network
Keywords :
feedforward neural nets; multilayer perceptrons; performance evaluation; systolic arrays; input-output bandwidth; latency; linear arrays; multilayer neural networks; performance; performance model; throughput rate; two-hidden-layer network; Analytical models; Artificial neural networks; Bandwidth; Clocks; Delay; Intelligent networks; Multi-layer neural network; Neural network hardware; Neural networks; Throughput;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
