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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Technik - Sonstiges

• Full title: Non-Volatile In-Memory Computing by Spintronics
• Author: Yuhao Wang, Leibin Ni
• Language: English
• Binding: Paperback
• Number of pages: 147
• EAN: 9783031009044
• ISBN: 3031009045
• ID: 39295022
• Publisher: Springer International Publishing AG
• Weight: 322 g
• Dimensions: 235 × 191 × 10 mm
• Date of publishing: 02. December 2016

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