Energy-Efficient Convolutional Neural Network Based on Cellular Neural Network Using Beyond-CMOS Technologies
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, pp. 85-93, 2019.
EI WOS
Abstract:
In this article, we perform a uniform benchmarking for the convolutional neural network (CoNN) based on the cellular neural network (CeNN) using a variety of beyond-CMOS technologies. Representative charge-based and spintronic device technologies are implemented to enable energy-efficient CeNN related computations. To alleviate the delay ...More
Code:
Data:
Tags
Comments