DocumentCode
165518
Title
Spin Torque Nano Oscillator based correlator
Author
Bhat, Anirudha Shyamprasad ; Mazumder, Prasenjit ; Chang, Joana
Author_Institution
Dept. of Electr. & Electron. Eng., Birla Inst. of Technol. & Sci., Pilani, India
fYear
2014
fDate
18-21 Aug. 2014
Firstpage
100
Lastpage
103
Abstract
Spintronics has emerged now as a viable post-CMOS technology. The main goal of this paper is to demonstrate pattern recognition using a cluster of eight Spin Transfer Torque (STT) devices biased to operate as variable frequency oscillators, Spin Torque Nano Oscillators (STNO). The phases of STNOs can be correlated to detect a trained input pattern. This is further used to design a correlator that detects the similarity of two patterns. While the spintronics devices are generally optimized for storing binary digital data, this paper shows how they can be configured to execute neuromorphic tasks without requiring any neurons and synaptic elements.
Keywords
CMOS integrated circuits; correlators; magnetoelectronics; nanoelectronics; oscillators; STNO phase; STT devices; binary digital data; neuromorphic tasks; neurons; pattern recognition; post-CMOS technology; spin torque nanooscillator-based correlator; spin transfer torque devices; spintronic device; synaptic elements; trained input pattern detection; variable frequency oscillators; CMOS integrated circuits; Critical current density (superconductivity); Equations; Magnetic separation; Mathematical model; Saturation magnetization; Thermal stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Nanotechnology (IEEE-NANO), 2014 IEEE 14th International Conference on
Conference_Location
Toronto, ON
Type
conf
DOI
10.1109/NANO.2014.6968004
Filename
6968004
Link To Document