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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Autores principales:	Gina C. Adam, Ali Khiat, Themis Prodromakis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8796f5c064f043048707bb640e71c902
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spelling	oai:doaj.org-article:8796f5c064f043048707bb640e71c9022021-12-02T15:34:04ZChallenges hindering memristive neuromorphic hardware from going mainstream10.1038/s41467-018-07565-42041-1723https://doaj.org/article/8796f5c064f043048707bb640e71c9022018-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07565-4https://doaj.org/toc/2041-1723Abstract 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.Gina C. AdamAli KhiatThemis ProdromakisNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-4 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gina C. Adam Ali Khiat Themis Prodromakis Challenges hindering memristive neuromorphic hardware from going mainstream
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.
format	article
author	Gina C. Adam Ali Khiat Themis Prodromakis
author_facet	Gina C. Adam Ali Khiat Themis Prodromakis
author_sort	Gina C. Adam
title	Challenges hindering memristive neuromorphic hardware from going mainstream
title_short	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_sort	challenges hindering memristive neuromorphic hardware from going mainstream
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/8796f5c064f043048707bb640e71c902
work_keys_str_mv	AT ginacadam challengeshinderingmemristiveneuromorphichardwarefromgoingmainstream AT alikhiat challengeshinderingmemristiveneuromorphichardwarefromgoingmainstream AT themisprodromakis challengeshinderingmemristiveneuromorphichardwarefromgoingmainstream
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Challenges hindering memristive neuromorphic hardware from going mainstream

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