Implementation of two-dimensional systolic algorithms for multi-layered neural networks
A new two-dimensional systolic algorithm is proposed in this paper for parallel implementation of the multi-layered neural network. To reduce communication overhead, the input data flow is passed along the horizontal and vertical directions of the systolic array alternately, over different layers of the neural network. This new algorithm accelerates learning process of the neural network. Transputer implementation of the proposed algorithm and experimental results are presented to show efficiency of the new algorithm.
multi-layered neural network transputer implementation two-dimensional systolic array parallel algorithm