Large-scale memristive associative memories

dc.contributor.authorEero Lehtonen
dc.contributor.authorJussi Poikonen
dc.contributor.authorMika Laiho
dc.contributor.authorPentti Kanerva
dc.contributor.organizationfi=Technology Research Center TRC|en=Technology Research Center TRC|
dc.contributor.organization-code1.2.246.10.2458963.20.58905910210
dc.converis.publication-id1615182
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/1615182
dc.date.accessioned2022-10-28T12:31:14Z
dc.date.available2022-10-28T12:31:14Z
dc.description.abstract<div> Associative memories, in contrast to conventional address-based memories, are inherently fault-tolerant and allow retrieval of data based on partial search information. This paper considers the possibility of implementing large-scale associative memories through memristive devices jointly with CMOS circuitry. An advantage of a memristive associative memory is that the memory elements are located physically above the CMOS layer, which yields more die area for the processing elements realized in CMOS. This allows for high-capacity memories even while using an older CMOS technology, as the capacity of the memory depends more on the feature size of the memristive crossbar than on that of the CMOS components. In this paper, we propose the memristive implementations, and present simulations and error analysis of the autoassociative content-addressable memory, the Willshaw memory, and the sparse distributed memory. Furthermore, we present a CMOS cell that can be used to implement the proposed memory architectures.</div>
dc.format.pagerange562
dc.format.pagerange574
dc.identifier.eissn1063-8210
dc.identifier.jour-issn1063-8210
dc.identifier.olddbid176997
dc.identifier.oldhandle10024/160091
dc.identifier.urihttps://www.utupub.fi/handle/11111/32742
dc.identifier.urlhttp://ieeexplore.ieee.org
dc.identifier.urnURN:NBN:fi-fe2021042714207
dc.okm.affiliatedauthorPoikonen, Jussi
dc.okm.affiliatedauthorLaiho, Mika
dc.okm.affiliatedauthorLehtonen, Eero
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline213 Electronic, automation and communications engineering, electronicsen_GB
dc.okm.discipline221 Nanotechnologyen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikkafi_FI
dc.okm.discipline221 Nanoteknologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherIEEE
dc.relation.doi10.1109/TVLSI.2013.2250319
dc.relation.ispartofjournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
dc.relation.issue3
dc.relation.volume22
dc.source.identifierhttps://www.utupub.fi/handle/10024/160091
dc.titleLarge-scale memristive associative memories
dc.year.issued2014

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