Non-Volatile In-Memory Computing by Spintronics

Hao Yu, Leibin Ni and Yuhao Wang

ISBN 10: 1627052941 / ISBN 13: 9781627052948

Editore: Morgan & Claypool (Synthesis Lectures on Emerging Engineering Technologies), [San Raphael, CA], 2017

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Quarto-size, 160 pages (xiv 146), chats, diagrams (some with spot colour); publisher's pale blue card covers: As new, unread copy. Pictures show this actual book. UK orders are post-free. Codice articolo 152864

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Titolo: Non-Volatile In-Memory Computing by ...

Casa editrice: Morgan & Claypool (Synthesis Lectures on Emerging Engineering Technologies), [San Raphael, CA]

Data di pubblicazione: 2017

Legatura: Softcover/Paperback

Condizione: As New

Condizione sovraccoperta: No Jacket

Edizione: First Edition.

Descrizione articolo

Riassunto:

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.