Memristor-Based Signal Processing for Edge Computing

作     者：Han Zhao Zhengwu Liu Jianshi Tang Bin Gao Yufeng Zhang He Qian Huaqiang Wu Han Zhao;Zhengwu Liu;Jianshi Tang;Bin Gao;Yufeng Zhang;He Qian;Huaqiang Wu

作者机构：the School of Integrated CircuitsBeijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijing 100084China the Department of Microelectronics Science and TechnologyHarbin Institute of TechnologyHarbin 150001China Beijing Innovation Center for Future ChipsTsinghua UniversityBeijing 100084China 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2022年第27卷第3期

页      面：455-471页

核心收录：

学科分类：080903[工学-微电子学与固体电子学] 0711[理学-系统科学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by the National Science and Technology Major Project of China(No.2017ZX02315001-005) the National Natural Science Foundation of China(Nos.91964104 and 61974081) 

主　　题：memristor signal processing edge computing Internet of Things(IoTs) in-memory computing 

摘      要：The rapid growth of the Internet of Things(IoTs)has resulted in an explosive increase in data,and thus has raised new challenges for data processing *** computing,which settles signal processing and computing tasks at the edge of networks rather than uploading data to the cloud,can reduce the amount of data for transmission and is a promising solution to address the *** of the potential candidates for edge computing is a memristor,an emerging nonvolatile memory device that has the capability of in-memory *** this article,from the perspective of edge computing,we review recent progress on memristor-based signal processing methods,especially on the aspects of signal preprocessing and feature ***,we describe memristor-based signal classification and regression,and end-to-end signal *** all these applications,memristors serve as critical accelerators to greatly improve the overall system performance,such as power efficiency and processing ***,we discuss existing challenges and future outlooks for memristor-based signal processing systems.