A pragmatic gaze on stochastic resonance based variability tolerant memristance enhancement

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • V. Ntinas - , Democritus University of Thrace, UPC Universitat Politècnica de Catalunya (Barcelona Tech) (Autor:in)
  • Antonio Rubio - , UPC Universitat Politècnica de Catalunya (Barcelona Tech) (Autor:in)
  • Georgios Ch Sirakoulis - , Democritus University of Thrace (Autor:in)
  • S.D. Cotofana - , Technische Universität Delft (Autor:in)

Abstract

Stochastic Resonance (SR) is a nonlinear system specific phenomenon, which was demonstrated to lead to system unexpected (counter-intuitive) performance improvements under certain noise conditions. Memristor, on the other hand, is a fundamentally nonlinear circuit element, thus susceptible to benefit from SR, which recently came in the spotlight of the emerging technologies potential candidates. However, at this time, the variability exhibited by manufactured memristor devices within the same array constitutes the main hurdle in the road towards the commercialisation of memristor-based memories and/or computing units. Thus, in this paper, memristor SR effects are explored, assuming various memristor models, and SR-based memristance range enhancement, tolerant to device-to-device variability, is demonstrated. Our experiments reveal that SR can induce significant R MAX /R MIN ratio increase under up to 60% variability, getting as high as 3.4× for 29 dBm noise power.

Details

OriginalspracheEnglisch
Titel2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Herausgeber (Verlag)IEEE Xplore
Seitenumfang5
PublikationsstatusVeröffentlicht - 2019
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

ReiheIEEE International Symposium on Circuits and Systems (ISCAS)
ISSN0271-4302

Externe IDs

Scopus 85066810001