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Non-Volatile In-Memory Computing by Spintronics, PDF eBook

Non-Volatile In-Memory Computing by Spintronics PDF

Part of the Synthesis Lectures on Emerging Engineering Technologies series

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Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

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.

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