A parallel mapping of backpropagation algorithm for mesh signal processor

Abstract

In this paper, we present a new technique for mapping the backpropagation learning algorithm on a mesh signal processor. The optimal sub-partitioning of computation and communication, and data replicaiion techniques are the key features of our algorithm. Theoretical analysis and simulation results, using the M I T Lincoln, Lab simulator, show that our scheme performs better than the other schemes.