With the rapid growth of computer science and big data,the traditional von Neumann architecture suffers the aggravating data communication costs due to the separated structure of the processing units and memories.Memristive in-memory computing paradigm is considered as a prominent candidate to address these issues,and plentiful applications have been demonstrated and verified.These applications can be broadly categorized into two major types:soft computing that can tolerant uncertain and imprecise results,and hard computing that emphasizes explicit and precise numerical results for each task,leading to different requirements on the computational accuracies and the corresponding hardware solutions.In this review,we conduct a thorough survey of the recent advances of memristive in-memory computing applications,both on the soft computing type that focuses on artificial neural networks and other machine learning algorithms,and the hard computing type that includes scientific computing and digital image processing.At the end of the review,we discuss the remaining challenges and future opportunities of memristive in-memory computing in the incoming Artificial Intelligence of Things era.

Han Bao;Houji Zhou;Jiancong Li;Huaizhi Pei;Jing Tian;Ling Yang;Shengguang Ren;Shaoqin Tong;Yi Li;Yuhui He;Jia Chen;Yimao Cai;Huaqiang Wu;Qi Liu;Qing Wan;Xiangshui Miao

School of Integrated Circuits,School of Optical and Electronic Information,Wuhan National Laboratory for Optoelectronics,Optics Valley Laboratory,Huazhong University of Science and Technology,Wuhan 430074,China;Hubei Yangtze Memory Laboratories,Wuhan 430205,China;AI Chip Center for Emerging Smart Systems,InnoHK Centers,Hong Kong Science Park,Hong Kong,China;School of Integrated Circuits,Peking University,Beijing 100871,China;School of Integrated Circuits,Beijing National Research Center for Information Science and Technology(BNRist),Tsinghua University,Beijing 100084,China;Frontier Institute of Chip and System,Fudan University,Shanghai 200433,China;School of Electronic Science and Engineering,and Collaborative Innovation Centre of Advanced Microstructures,Nanjing University,Nanjing 210093,China

光电子前沿（英文版）

[1]Han Bao;Houji Zhou;Jiancong Li;Huaizhi Pei;Jing Tian;Ling Yang;Shengguang Ren;Shaoqin Tong;Yi Li;Yuhui He;Jia Chen;Yimao Cai;Huaqiang Wu;Qi Liu;Qing Wan;Xiangshui Miao-.Toward memristive in-memory computing:principles and applications)[J].光电子前沿（英文版）,2022(02):96-120

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