Abstract
Spintronic technologies have demonstrated significant promise due to multitude of features that can find applications in storage, cache, non-volatile combinational logic, sequential logic, search engines, security primitives, and, neuro-inspired computing to name a few. This paper reviews well-known spintronic devices, and circuits and systems that exploit their special properties for novel applications. Analysis indicates substantial benefits in area, energy-efficiency and performance compared to conventional complementary metal oxide semiconductor (CMOS) technology.
Original language | English |
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Article number | 7563983 |
Pages (from-to) | 265-268 |
Number of pages | 4 |
Journal | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Volume | 6 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2016 Sept |
Bibliographical note
Funding Information:Manuscript received July 31, 2016; accepted August 8, 2016. Date of publication September 7, 2016; date of current version September 9, 2016. This work was supported by the NSF under Grant CNS-1441757 and SRC Grant 2442.001.
Publisher Copyright:
© 2011 IEEE.
Keywords
- Associative computing
- convolutional neural network
- digital signal processor
- domain wall memory
- embedded memory
- hardware security
- spin-transfer torque RAM (STTRAM)
- spintronics
ASJC Scopus subject areas
- Electrical and Electronic Engineering