A fast simulator for neural networks on DSPs or FPGAs

Abstract

The authors present a description of their achievements and current research on the implementation of a fast digital simulator for artificial neural networks. This simulator is mapped either on a parallel digital signal processor (DSP) or on a set of field programmable gate arrays (FPGAs). Powerful tools have been developed that automatically compile a graphical neural network description into executable code for the DSPs, with the flexibility to adjust weights and thresholds at run-time. The next step is to realize similar tools for the FPGAs.<>