End-to-End Automation Frameworks for Mapping Neural Networks onto Embedded Devices and Early Performance Predictions: A Survey

Recently automated frameworks have been proposed, mapping neural networks from a high-level description onto embedded devices, most of them in an end-to-end manner. This paper aims to give an overview of their main characteristics and achievements. A special focus is lying on internal predictions during design space exploration (DSE) regarding hardware targets (performance, area or power consumpti...