典型文献
A review on SRAM-based computing in-memory:Circuits,functions,and applications
文献摘要：
Artificial intelligence(AI)processes data-centric applications with minimal effort.However,it poses new challenges to system design in terms of computational speed and energy efficiency.The traditional von Neumann architecture cannot meet the requirements of heavily data-centric applications due to the separation of computation and storage.The emergence of computing in-memory(CIM)is significant in circumventing the von Neumann bottleneck.A commercialized memory architec-ture,static random-access memory(SRAM),is fast and robust,consumes less power,and is compatible with state-of-the-art tech-nology.This study investigates the research progress of SRAM-based CIM technology in three levels:circuit,function,and applic-ation.It also outlines the problems,challenges,and prospects of SRAM-based CIM macros.
文献关键词：
中图分类号：
作者姓名：
Zhiting Lin;Zhongzhen Tong;Jin Zhang;Fangming Wang;Tian Xu;Yue Zhao;Xiulong Wu;Chunyu Peng;Wenjuan Lu;Qiang Zhao;Junning Chen
作者机构：
School of Integrated Circuits,Anhui University,Hefei 230601,China
文献出处：
引用格式：
[1]Zhiting Lin;Zhongzhen Tong;Jin Zhang;Fangming Wang;Tian Xu;Yue Zhao;Xiulong Wu;Chunyu Peng;Wenjuan Lu;Qiang Zhao;Junning Chen-.A review on SRAM-based computing in-memory:Circuits,functions,and applications)[J].半导体学报（英文版）,2022(03):19-43
A类：
applic,macros
B类：
review,SRAM,computing,memory,Circuits,functions,applications,Artificial,intelligence,processes,data,centric,minimal,effort,However,poses,new,challenges,system,design,terms,computational,speed,energy,efficiency,traditional,von,Neumann,architecture,cannot,meet,requirements,heavily,due,separation,storage,emergence,CIM,significant,circumventing,bottleneck,commercialized,static,random,access,fast,robust,consumes,less,power,compatible,state,art,This,study,investigates,research,progress,technology,three,levels,circuit,It,also,outlines,problems,prospects
AB值：
0.577238
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