A pragmatic gaze on stochastic resonance based variability tolerant memristance enhancement

Conference Paper (2019)
Author(s)

Vasileios Ntinas (Democritus University of Thrace, Universitat Politecnica de Catalunya)

A Rubio (Universitat Politecnica de Catalunya)

Georgios Ch Sirakoulis (Democritus University of Thrace)

Sorin D. Cotofana (TU Delft - Computer Engineering)

Research Group
Computer Engineering
DOI related publication
https://doi.org/10.1109/ISCAS.2019.8702792
More Info
expand_more
Publication Year
2019
Language
English
Research Group
Computer Engineering
Volume number
2019-May
ISBN (electronic)
9781728103976

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 RMAX/RMIN ratio increase under up to 60% variability, getting as high as 3.4× for 29 dBm noise power.

No files available

Metadata only record. There are no files for this record.