Non-Volatile In-Memory Computing by Spintronics
(Sprache: Englisch)
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...
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Klappentext zu „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.
Inhaltsverzeichnis zu „Non-Volatile In-Memory Computing by Spintronics “
Preface.- Acknowledgments.- Introduction.- Non-volatile Spintronic Device and Circuit.- In-memory Data Encryption.- In-memory Data Analytics.- Authors' Biographies .
Bibliographische Angaben
- Autoren: Hao Yu , Leibin Ni , Yuhao Wang
- 2016, XIII, 147 Seiten, Maße: 19,1 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3031009045
- ISBN-13: 9783031009044
Sprache:
Englisch
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