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portada Non-Volatile In-Memory Computing by Spintronics
Type
Physical Book
Publisher
Language
English
Pages
147
Format
Paperback
Dimensions
23.5 x 19.1 x 0.9 cm
Weight
0.29 kg.
ISBN13
9783031009044
Edition No.
1

Non-Volatile In-Memory Computing by Spintronics

Hao Yu (Author) · Leibin Ni (Author) · Yuhao Wang (Author) · Springer · Paperback

Non-Volatile In-Memory Computing by Spintronics - Yu, Hao ; Ni, Leibin ; Wang, Yuhao

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Synopsis "Non-Volatile In-Memory Computing by Spintronics"

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.

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