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Non-Volatile In-Memory Computing by Spintronics (Paperback) Loot Price: R1,384
Discovery Miles 13 840
Non-Volatile In-Memory Computing by Spintronics (Paperback): Hao Yu, Leibin Ni, Yuhao Wang

Non-Volatile In-Memory Computing by Spintronics (Paperback)

Hao Yu, Leibin Ni, Yuhao Wang

Series: Synthesis Lectures on Emerging Engineering Technologies

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Loot Price R1,384 Discovery Miles 13 840 | Repayment Terms: R130 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Synthesis Lectures on Emerging Engineering Technologies
Release date: December 2016
First published: 2017
Authors: Hao Yu • Leibin Ni • Yuhao Wang
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 147
ISBN-13: 978-3-03-100904-4
Languages: English
Subtitles: English
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Computing & IT > Computer hardware & operating systems > General
Books > Professional & Technical > Mechanical engineering & materials > Materials science > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
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LSN: 3-03-100904-5
Barcode: 9783031009044

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