An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing
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 str...
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sg-ntu-dr.10356-834492020-03-07T13:57:28Z An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing 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 School of Electrical and Electronic Engineering Electrical and electronic engineering Nanoscale devices 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. Published version 2017-06-09T08:10:30Z 2019-12-06T15:23:14Z 2017-06-09T08:10:30Z 2019-12-06T15:23:14Z 2017 Journal Article 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-. 2045-2322 https://hdl.handle.net/10356/83449 http://hdl.handle.net/10220/42646 10.1038/srep40135 203662 en Scientific Reports © 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/ 8 p. application/pdf |
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Electrical and electronic engineering Nanoscale devices 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 An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing |
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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. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering 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 |
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Article |
author |
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 |
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Ge, Ning |
title |
An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing |
title_short |
An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing |
title_full |
An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing |
title_fullStr |
An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing |
title_full_unstemmed |
An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing |
title_sort |
efficient analog hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing |
publishDate |
2017 |
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https://hdl.handle.net/10356/83449 http://hdl.handle.net/10220/42646 |
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1681049157063671808 |