Energy-Efficient Convolutional Neural Network Based on Cellular Neural Network Using Beyond-CMOS Technologies

Energy-Efficient Convolutional Neural Network Based on Cellular Neural Network Using Beyond-CMOS Technologies

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 relat...

Full description

Bibliographic Details
Main Authors: Chenyun Pan, Qiuwen Lou, Michael Niemier, Sharon Hu, Azad Naeemi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Subjects:
Beyond-CMOS technology
cellular neural network (CeNN)
convolutional neural network (CoNN)
spintronics
tunnel FETs (TFETs)
Online Access:https://ieeexplore.ieee.org/document/8935350/

Internet

https://ieeexplore.ieee.org/document/8935350/

Similar Items