Platform Generation for Edge AI Devices with Custom Hardware Accelerators

Abstract

In recent years artificial neural networks (NNs) have been at the center of research on data processing. However, their high computational demand often prohibits deployment on resource-constrained Industrial IoT Systems. Custom hardware accelerators can enable real-time NN processing on small-scale edge devices but are generally hard to develop and integrate. In this paper we present a hardware generation approach to rapidly create, test, and deploy entire SoC platforms with application-specific NN hardware accelerators. The feasibility of the approach is demonstrated by the generation of a condition monitoring system for high-speed valves.