Efficient two-dimensional systolic array architecture for multilayer neural network

An efficient two-dimensional systolic array architecture for a multilayer perceptron neural network is presented. This structure can perform the weighted sum calculation in only N cycles, for an N×N network. A new technique is introduced to eliminate the problem of long connecting lines in the proposed systolic structure