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Stochastic computing based on volatile GeSe ovonic threshold switching selectors

Chai, Z, Freitas, P, Zhang, WD, Hatem, F, Degraeve, R, Clima, S, Zhang, J, Marsland, J, Fantini, A, Garbin, D, Goux, L and Kar, G (2020) Stochastic computing based on volatile GeSe ovonic threshold switching selectors. IEEE Electron Device Letters. ISSN 0741-3106

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Stochastic computing (SC) is a special type of digital compute strategy where values are represented by the probability of 1 and 0 in stochastic bit streams, which leads to superior hardware simplicity and error-tolerance. In this paper, we propose and demonstrate SC with GeSe based Ovonic Threshold Switching (OTS) selector devices by exploiting their probabilistic switching behavior. The stochastic bit streams generated by OTS are demonstrated with good computation accuracy in both multiplication operation and image processing circuit. Moreover, the bit distribution has been statistically studied and linked to the collective defect de/localization behavior in the chalcogenide material. Weibull distribution of the delay time supports the origin of such probabilistic switching, facilitates further optimization of the operation condition, and lays the foundation for device modelling and circuit design. Considering its other advantages such as simple structure, fast speed, and volatile nature, OTS is a promising material for implementing SC in a wide range of novel applications, such as image processors, neural networks, control systems and reliability analysis.

Item Type: Article
Additional Information: © 2020 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.
Uncontrolled Keywords: 0906 Electrical and Electronic Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: IEEE
Date Deposited: 17 Aug 2020 12:01
Last Modified: 04 Sep 2021 06:49
DOI or ID number: 10.1109/LED.2020.3017095
URI: https://researchonline.ljmu.ac.uk/id/eprint/13495
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