Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/83449
Title: | An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing | Authors: | Ge, Ning Yoon, Jung Ho Hu, Miao Merced-Grafals, E. J. Davila, Noraica Strachan, John Paul Li, Zhiyong Holder, Helen Xia, Qiangfei Williams, R. Stanley Zhou, Xing Yang, J. Joshua |
Keywords: | Electrical and electronic engineering Nanoscale devices |
Issue Date: | 2017 | Source: | Ge, N., Yoon, J. H., Hu, M., Merced-Grafals, E. J., Davila, N., Strachan, J. P., et al. (2017). An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing. Scientific Reports, 7, 40135-. | Series/Report no.: | Scientific Reports | Abstract: | We propose and demonstrate a novel physical computing paradigm based on an engineered unipolar memristor that exhibits symmetric SET switching with respect to voltage polarity. A one-dimensional array of these devices was sufficient to demonstrate an efficient Hamming distance comparator for two strings of analog states represented by voltages from the physical world. The comparator first simultaneously applies the two sets of voltages to the array of memristors, each of which is initially in its high resistance state and switches to its low resistance state only if the two voltages applied on that memristor differ by more than the switching threshold. An accurate analog representation of the Hamming distance is then obtained by applying a reading voltage to the memristors and summing all the resultant currents. The comparator with a small footprint can directly process analog signals and store computation results without power, representing a promising application for analog computing based on memristor crossbar arrays. | URI: | https://hdl.handle.net/10356/83449 http://hdl.handle.net/10220/42646 |
ISSN: | 2045-2322 | DOI: | 10.1038/srep40135 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2017 The Author(s) (Nature Publishing Group). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
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