Non-Volatile In-Memory Computing by Spintronics
Yu, Hao (Electrical engineer)
Non-Volatile In-Memory Computing by Spintronics by Hao Yu, Leibin Ni, Yuhao Wang - 1st edition 2017 - 1 recurso en línea (XIII, 147 páginas) - Synthesis Lectures on Emerging Engineering Technologies 2381-1439 .
Preface -- Acknowledgments -- Introduction -- Non-volatile Spintronic Device and Circuit -- In-memory Data Encryption -- In-memory Data Analytics -- Authors' Biographies .
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.
9783031020322
10.1007/978-3-031-02032-2 doi
Espintrónica
Dispositivos de almacenamiento de datos
TK7874.887 / 2017 EB
Non-Volatile In-Memory Computing by Spintronics by Hao Yu, Leibin Ni, Yuhao Wang - 1st edition 2017 - 1 recurso en línea (XIII, 147 páginas) - Synthesis Lectures on Emerging Engineering Technologies 2381-1439 .
Preface -- Acknowledgments -- Introduction -- Non-volatile Spintronic Device and Circuit -- In-memory Data Encryption -- In-memory Data Analytics -- Authors' Biographies .
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.
9783031020322
10.1007/978-3-031-02032-2 doi
Espintrónica
Dispositivos de almacenamiento de datos
TK7874.887 / 2017 EB