• 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