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Non-Volatile In-Memory Computing by Spintronics
by
Wang, Yuhao
, Yu, Hao
, Ni, Leibin
in
Circuits and Systems
/ Computer Hardware
/ Electrical Engineering
/ Engineering
/ Engineering, general
/ Materials Science, general
/ Spintronics
/ Surfaces and Interfaces, Thin Films
/ TECHNOLOGY & ENGINEERING
/ Technology (Applied sciences)
2022,2016,2017
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Non-Volatile In-Memory Computing by Spintronics
by
Wang, Yuhao
, Yu, Hao
, Ni, Leibin
in
Circuits and Systems
/ Computer Hardware
/ Electrical Engineering
/ Engineering
/ Engineering, general
/ Materials Science, general
/ Spintronics
/ Surfaces and Interfaces, Thin Films
/ TECHNOLOGY & ENGINEERING
/ Technology (Applied sciences)
2022,2016,2017
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Do you wish to request the book?
Non-Volatile In-Memory Computing by Spintronics
by
Wang, Yuhao
, Yu, Hao
, Ni, Leibin
in
Circuits and Systems
/ Computer Hardware
/ Electrical Engineering
/ Engineering
/ Engineering, general
/ Materials Science, general
/ Spintronics
/ Surfaces and Interfaces, Thin Films
/ TECHNOLOGY & ENGINEERING
/ Technology (Applied sciences)
2022,2016,2017
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Non-Volatile In-Memory Computing by Spintronics
2022,2016,2017
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Overview
Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book.
Publisher
Springer Nature,Springer International Publishing,Springer
Subject
ISBN
3031020324, 9783031020322, 3031009045, 9783031009044
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