A development environment for multilayer neural network applications mapped onto DSPs with multiprocessing capabilities

Abstract

This paper concerns the development of artificial neural network applications in digital signal processors (DSPs) with multiprocessing capabilities. For defining an efficient partition of processing tasks within target DSP boards, a user-friendly development environment evaluates different parallelism approaches for the network design according to specific device features. The development environment supports two different levels of experience (novice, expert) on both parallel system and neural network designs, enabling novice users to access system resources easily and shorten design cycle time. Pre-processing methods based on topological mapping and principal component analysis are also supported by the system, so that compact and efficient neural network system designs can be implemented.