Challenges hindering memristive neuromorphic hardware from going mainstream

Abstract Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry a...

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Main Authors: Gina C. Adam, Ali Khiat, Themis Prodromakis
Format: Article
Language:English
Published: Nature Portfolio 2018-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-07565-4
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author Gina C. Adam
Ali Khiat
Themis Prodromakis
author_facet Gina C. Adam
Ali Khiat
Themis Prodromakis
author_sort Gina C. Adam
collection DOAJ
description Abstract Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption of redox-based memristive matrices. Here, we discuss these challenges in terms of key metrics and propose a roadmap towards realizing competitive memristive-based neuromorphic processing systems.
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spelling doaj.art-8796f5c064f043048707bb640e71c9022022-12-21T23:39:04ZengNature PortfolioNature Communications2041-17232018-12-01911410.1038/s41467-018-07565-4Challenges hindering memristive neuromorphic hardware from going mainstreamGina C. Adam0Ali Khiat1Themis Prodromakis2Department of Electrical and Computer Engineering, George Washington UniversityElectronic Materials & Devices, Zepler Institute for Photonics and Nanoelectronics, University of SouthamptonElectronic Materials & Devices, Zepler Institute for Photonics and Nanoelectronics, University of SouthamptonAbstract Memristive devices have elicited intense research in the past decade thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability. Nonetheless, several outstanding performance and manufacturability challenges have prevented the widespread industry adoption of redox-based memristive matrices. Here, we discuss these challenges in terms of key metrics and propose a roadmap towards realizing competitive memristive-based neuromorphic processing systems.https://doi.org/10.1038/s41467-018-07565-4
spellingShingle Gina C. Adam
Ali Khiat
Themis Prodromakis
Challenges hindering memristive neuromorphic hardware from going mainstream
Nature Communications
title Challenges hindering memristive neuromorphic hardware from going mainstream
title_full Challenges hindering memristive neuromorphic hardware from going mainstream
title_fullStr Challenges hindering memristive neuromorphic hardware from going mainstream
title_full_unstemmed Challenges hindering memristive neuromorphic hardware from going mainstream
title_short Challenges hindering memristive neuromorphic hardware from going mainstream
title_sort challenges hindering memristive neuromorphic hardware from going mainstream
url https://doi.org/10.1038/s41467-018-07565-4
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