Non-Volatile In-Memory Computing by Spintronics

Hao Yu

ISBN 10: 3031009045 / ISBN 13: 9783031009044

Published by Springer International Publishing, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783031009044

Bibliographic Details

• Title: Non-Volatile In-Memory Computing by Spintronics
• Publisher: Springer International Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3031009045
• ISBN 13: 9783031009044
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 10D millimeters 235 millimeters width by 191 millimeters height by 10 millimeters depth
• Weight: 320 grams

About this title

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.