An Energy-Efficient Nonvolatile In-Memory Computing Architecture for Extreme Learning Machine by Domain-Wall Nanowire Devices-Reference-Cited by-同舟云学术

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An Energy-Efficient Nonvolatile In-Memory Computing Architecture for Extreme Learning Machine by Domain-Wall Nanowire Devices

Published:2015-11 Issue:6 Volume:14 Page:998-1012
ISSN:1536-125X
Container-title:IEEE Transactions on Nanotechnology
language:
Short-container-title:IEEE Trans. Nanotechnology

Author:

Wang Yuhao,Yu Hao,Ni Leibin,Huang Guang-Bin,Yan Mei,Weng Chuliang,Yang Wei,Zhao Junfeng

Funder

Singapore NRF-CRP

MOE Tier-2

A*STAR PSF

Huawei Shannon Research Lab

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7729/7322313/07128727.pdf?arnumber=7128727

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3. Design of a nonvolatile-register-embedded RISC-V CPU with software-controlled data-retention and hardware-acceleration functions;Memories - Materials, Devices, Circuits and Systems;2023-07

4. Enabling Edge Computing Using Emerging Memory Technologies: From Device to Architecture;Frontiers of Quality Electronic Design (QED);2022-09-06

5. Control of the Walker breakdown by periodical magnetic wire-width modulation;Journal of Applied Physics;2022-06-21

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