Publication:
Samurai: an accurate method for modelling and simulating non-stationary random telegraph noise in SRAMS

dc.contributor.coauthorAadithya, Karthik
dc.contributor.coauthorVenogopalan, Sriramkumar
dc.contributor.coauthorRoychowdhury, Jaijeet
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorDemir, Alper
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T23:37:37Z
dc.date.issued2011
dc.description.abstractIn latest CMOS technologies, Random Telegraph Noise (RTN) has emerged as an important challenge for SRAM design. Due to rapidly shrinking device sizes and heightened variability, analytical approaches are no longer applicable for characterising the circuit-level impact of non-stationary RTN. Accordingly, this paper presents SAMURAI, a computational method for accurate, trap-level, non-stationary analysis of RTN in SRAMs. The core of SAMURAI is a technique called Markov Uniformisation, which extends stochastic simulation ideas from the biological community and applies them to generate realistic traces of non-stationary RTN in SRAM cells. To the best of our knowledge, SAMURAI is the first computational approach that employs detailed trap-level stochastic RTN generation models to obtain accurate traces of non-stationary RTN at the circuit level. We have also developed a methodology that integrates SAMURAI and SPICE to achieve a simulation-driven approach to RTN characterisation in SRAM cells under (a) arbitrary trap populations, and (b) arbitrarily time-varying bias conditions. Our implementation of this methodology demonstrates that SAMURAI is capable of accurately predicting non-stationary RTN effects such as write errors in SRAM cells. © 2011 EDAA.
dc.description.indexedbyScopus
dc.description.indexedbyWOS
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipEuropean Design and Automation Association (EDAA)
dc.description.sponsorshipEDA Consortium
dc.description.sponsorshipThe IEEE Council on EDA (CEDA)
dc.description.sponsorshipECSI
dc.description.sponsorshipACM - SIGDA
dc.identifier.isbn9783-9810-8017-9
dc.identifier.issn1530-1591
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79957588665andpartnerID=40andmd5=193e4f75a41a455ad2d7d8c71fa3e67a
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-79957588665
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12859
dc.identifier.wos410278900209
dc.keywordsAnalytical approach
dc.keywordsBias conditions
dc.keywordsBiological community
dc.keywordsCharacterisation
dc.keywordsCircuit levels
dc.keywordsCMOS technology
dc.keywordsComputational approach
dc.keywordsNonstationary
dc.keywordsRandom telegraph noise
dc.keywordsShrinking devices
dc.keywordsSRAM Cell
dc.keywordsSRAM design
dc.keywordsStochastic simulations
dc.keywordsTime varying
dc.keywordsCMOS integrated circuits
dc.keywordsComputational methods
dc.keywordsLogic design
dc.keywordsSPICE
dc.keywordsStochastic models
dc.keywordsStochastic systems
dc.keywordsTelegraph
dc.keywordsStatic random access storage
dc.language.isoeng
dc.publisherIEE
dc.relation.ispartofProceedings -Design, Automation and Test in Europe, DATE
dc.subjectElectronics Engineering
dc.titleSamurai: an accurate method for modelling and simulating non-stationary random telegraph noise in SRAMS
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorDemir, Alper
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

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