A survey of spintronic architectures for processing-in-memory and neural networks

作     者：Umesh, Sumanth Mittal, Sparsh 

作者机构：IIT Jodhpur Jodhpur Rajasthan India IIT Hyderabad C-113-A Sangareddy Hyderabad 502285 Telangana India 

出 版 物：《JOURNAL OF SYSTEMS ARCHITECTURE》 (系统结构杂志)

年 卷 期：2019年第97卷

页      面：349-372页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Science and Engineering Research Board [ECR/2017/000622] 

主　　题：Review Spin transfer torque RAM Spin orbit torque Domain wall memory Processing-in-memory Machine learning Neural networks 

摘      要：The rising overheads of data-movement and limitations of general-purpose processing architectures have led to a huge surge in the interest in processing-in-memory (PIM) approach and neural networks (NN) architectures. Spintronic memories facilitate efficient implementation of PIM approach and NN accelerators, and offer several advantages over conventional memories. In this paper, we present a survey of spintronic-architectures for PIM and NNs. We organize the works based on main attributes to underscore their similarities and differences. This paper will be useful for researchers in the area of artificial intelligence, hardware architecture, chip design and memory system.