Non-Volatile In-Memory Computing by Spintronics

Hao Yu, Leibin Ni, Yuhao Wang

• Publisher: Springer
• Year: 2022
• ISBN:
  9783031020322
• Topic: Technology & Engineering
• Subtopic: Engineering General
• Index: Technology & Engineering

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.

Table of contents

• Cover
• Copyright Pag
• Title Page
• Contents
• Preface
• Acknowledgments
• 1 Introduction
• 2 Non-volatile Spintronic Device and Circuit
• 3 In-memory Data Encryption
• 4 In-memory Data Analytics
• Authors’ Biographies
• Index