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Energy-efficient neural network design using memristive MAC unit

Lookup NU author(s): Shengqi YuORCiD, Dr Thomas Bunnam, Dr Fei Xia, Professor Rishad ShafikORCiD, Professor Alex YakovlevORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Yu S, Bunnam T, Triamlumlerd S, Pracha M, Xia F, Shafik R, Yakovlev A

Publication type: Article

Publication status: Published

Journal: Frontiers in Electronics

Year: 2022

Volume: 3

Online publication date: 26/09/2022

Acceptance date: 31/08/2022

Date deposited: 09/10/2024

ISSN (electronic): 2673-5857

Publisher: Frontiers Media SA

URL: https://doi.org/10.3389/felec.2022.877629

DOI: 10.3389/felec.2022.877629

Data Access Statement: The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

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Funding

Funder referenceFunder name
EPSRC IAA project Whisperable AI Power Management (ref: NU-007755, Newcastle University, United Kingdom)
Northern Accelerator grant on Low-Power AI Circuits (NU-009397, Newcastle University)

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