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A pragmatic gaze on stochastic resonance based variability tolerant memristance

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10.1109/ISCAS.2019.8702792
 
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hdl:2117/168772

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Ntinas, VasileiosMés informacióMés informació
Rubio Sola, Jose AntonioMés informacióMés informacióMés informació
Sirakoulis, Georgios Ch.
Cotofana, Sorin
Document typeConference report
Defense date2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
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.
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© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
CitationNtinas, V. [et al.]. A pragmatic gaze on stochastic resonance based variability tolerant memristance. A: IEEE International Symposium on Circuits and Systems. "2019 IEEE International Symposium on Circuits and Systems (ISCAS): proceedings: 26-29 May 2019: Sapporo, Japan". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 52-56. 
URIhttp://hdl.handle.net/2117/168772
DOI10.1109/ISCAS.2019.8702792
ISBN978-1-7281-0398-3
Publisher versionhttps://ieeexplore.ieee.org/document/8702792
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  • HIPICS - High Performance Integrated Circuits and Systems - Ponències/Comunicacions de congressos [144]
  • Departament d'Enginyeria Electrònica - Ponències/Comunicacions de congressos [1.811]
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