Premium
Functional Applications of Future Data Storage Devices
Author(s) -
Yang JiaQin,
Zhou Ye,
Han SuTing
Publication year - 2021
Publication title -
advanced electronic materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.25
H-Index - 56
ISSN - 2199-160X
DOI - 10.1002/aelm.202001181
Subject(s) - computer science , computer data storage , flash memory , in memory processing , big data , non volatile memory , resistive random access memory , process (computing) , embedded system , distributed computing , data science , computer hardware , electrical engineering , engineering , operating system , voltage , world wide web , query by example , web search query , search engine
The development of artificial intelligence and big data analytics is driving a revolution in methods for data processing and storage. Confronting speed and energy consumption issues, these fields require new computing systems to parallelly retrieve, process, and store massive amounts of data. Beyond CMOS devices and technology, advances in data storage technology such as static random‐access memory, dynamic random‐access memory, flash memories, resistive memories, phase change memories, and magnetic memories have made functional computing possible. In this article, a broad overview of current memory systems and their development history spanning fundamental operating schemes, prevailing applications and required figure of merits for applications such as in‐memory computing and some critical issues that need to be addressed in the future development of this emerging technique are provided.