Non-Volatile In-Memory Computing by Spintronics
Author | : Hao Yu |
Publisher | : Springer Nature |
Total Pages | : 147 |
Release | : 2022-05-31 |
ISBN-10 | : 9783031020322 |
ISBN-13 | : 3031020324 |
Rating | : 4/5 (22 Downloads) |
Download or read book Non-Volatile In-Memory Computing by Spintronics written by Hao Yu and published by Springer Nature. This book was released on 2022-05-31 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.