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Non-Volatile In-Memory Computing by Spintronics

By: Hao Yu,Leibin Ni,Yuhao Wang

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Non-Volatile In-Memory Computing by Spintronics

By: Hao Yu,Leibin Ni,Yuhao Wang

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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Page Count

147

Publisher

Springer Nature

Published Date

ISBN 10

3031020324

ISBN 13

9783031020322

Non-Volatile In-Memory Computing by Spintronics

By: Hao Yu,Leibin Ni,Yuhao Wang

Write a review Read reviews Take a Quiz Solve Book Puzzle

Non-Volatile In-Memory Computing by Spintronics

By: Hao Yu,Leibin Ni,Yuhao Wang

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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Page Count

163

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1627056440

ISBN 13

9781627056441