Non-Boolean Computing Benchmarking for Beyond-CMOS Devices Based on Cellular Neural Network

Non-Boolean Computing Benchmarking for Beyond-CMOS Devices Based on Cellular Neural Network

This paper presents a uniform benchmarking methodology for non-Boolean computation based on the cellular neural network (CNN) for a variety of beyond-CMOS device technologies, including charge-based and spintronic devices. Three types of CNN implementations are investigated using analog, digital, an...

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Bibliographic Details
Main Authors: Chenyun Pan, Azad Naeemi
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Subjects:
Beyond-CMOS technology
cellular neural network (CNN)
performance benchmarking
Online Access:https://ieeexplore.ieee.org/document/7762057/

Internet

https://ieeexplore.ieee.org/document/7762057/

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