Non-Volatile In-Memory Computing by Spintronics / Synthesis Lectures on Emerging Engineering Technologies (PDF)
(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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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.
Bibliographische Angaben
- Autoren: Hao Yu , Leibin Ni , Yuhao Wang
- 2022, 1. Auflage, 147 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031020324
- ISBN-13: 9783031020322
- Erscheinungsdatum: 31.05.2022
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- Grösse: 3.71 MB
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Englisch
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