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Non-Volatile In-Memory Computing by Spintronics - Hao Yu,Leibin Ni,Yuhao Wang

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2016-12-02
61,86 € 82,48 €

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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 f ... Visas aprašymas

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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.

Daugiau informacijos

Autorius Hao Yu, Leibin Ni, Yuhao Wang
Leidėjas Springer Nature Switzerland
Series Synthesis Lectures on Emerging Engineering Technologies
Išleidimo metai 2016
Viršelio tipas Minkšti viršeliai
EAN 9783031009044
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61,86 € 82,48 €