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

Dati bibliografici

• Titolo: Non-Volatile In-Memory Computing by Spintronics
• Editore: Morgan & Claypool (Synthesis Lectures on Emerging Engineering Technologies), [San Raphael, CA]
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 1627052941
• ISBN 13: 9781627052948
• Rilegatura: Softcover/Paperback
• Edizione: First Edition.
• Condizione: As New
• Condizione della sovraccoperta: No Jacket

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.