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Author Kang, Wang ♦ Zhang, Yue ♦ Wang, Zhaohao ♦ Klein, Jacques-Olivier ♦ Chappert, Claude ♦ Ravelosona, Dafin ♦ Wang, Gefei ♦ Zhang, Youguang ♦ Zhao, Weisheng
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Spintronics ♦ Domain wall motion ♦ Logic computing ♦ Magnetic tunneling junction ♦ Memory ♦ Spin transfer torque ♦ Ultra-low power
Abstract Conventional MOS integrated circuits and systems suffer serve power and scalability challenges as technology nodes scale into ultra-deep-micron technology nodes (e.g., below 40nm). Both static and dynamic power dissipations are increasing, caused mainly by the intrinsic leakage currents and large data traffic. Alternative approaches beyond charge-only-based electronics, and in particular, spin-based devices, show promising potential to overcome these issues by adding the spin freedom of electrons to electronic circuits. Spintronics provides data non-volatility, fast data access, and low-power operation, and has now become a hot topic in both academia and industry for achieving ultra-low-power circuits and systems. The ITRS report on emerging research devices identified the magnetic tunnel junction (MTJ) nanopillar (one of the Spintronics nanodevices) as one of the most promising technologies to be part of future micro-electronic circuits. In this review we will give an overview of the status and prospects of spin-based devices and circuits that are currently under intense investigation and development across the world, and address particularly their merits and challenges for practical applications. We will also show that, with a rapid development of Spintronics, some novel computing architectures and paradigms beyond classic Von-Neumann architecture have recently been emerging for next-generation ultra-low-power circuits and systems.
Description Author Affiliation: Beihang University, Beijing, China (Kang, Wang; Wang, Gefei; Zhang, Youguang); University of Paris-Sud, Orsay, France (Zhang, Yue; Wang, Zhaohao; Klein, Jacques-Olivier; Chappert, Claude; Ravelosona, Dafin); Beihang University and University of Paris-Sud, Orsay, France (Zhao, Weisheng)
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-09-02
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 12
Issue Number 2
Page Count 42
Starting Page 1
Ending Page 42


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Source: ACM Digital Library