An Energy-Efficient Deep Convolutional Neural Network Accelerator Featuring Conditional Computing and Low External Memory Access
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2020.3029235
Abstract: With its algorithmic success in many machine learning tasks and applications, deep convolutional neural networks (DCNNs) have been implemented with custom hardware in a number of prior works. However, such works have not exploited conditional/approximate… read more here.
Keywords: conditional computing; access; energy; external memory ... See more keywords