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.

Cited by: 0|Bibtex|Views30|DOI:https://doi.org/10.1109/JXCDC.2019.2960307
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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

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