Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/12613
DC FieldValueLanguage
dc.contributor.authorReddy, P. Madhukar-
dc.contributor.authorHadjitheophanousi, Stavros-
dc.contributor.authorSoteriou, Vassos-
dc.contributor.authorGratz, Paul V.-
dc.contributor.authorMichael, Maria K.-
dc.contributor.otherΣωτηρίου, Βάσος-
dc.date.accessioned2018-08-07T08:10:56Z-
dc.date.available2018-08-07T08:10:56Z-
dc.date.issued2017-09-19-
dc.identifier.citation23rd IEEE International Symposium on On-Line Testing and Robust System Design, 2017, Thessaloniki, Greece, 3-5 Julyen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/12613-
dc.description.abstractNegative Bias Temperature Instability (NBTI) is a prominent physical failure mechanism which severely degrades the performance of PMOS transistors whenever the voltage at the gate is negatively biased. It leads to catastrophic timing violations in critical circuits and a severe shortening of the overall operational lifetime of the entire system. To alleviate such damaging effects due to NBTI, we present PRITEXT, a novel technique which generates a minimal set of deterministic exercise vectors based on test generation techniques which inherently near-optimizes the bit patterns across each of the generated vectors; the end target being to exercise the critical paths of a device when dormant so as to achieve near-ideal NBTI stress reduction. We explore the design-space of our generated vectors and apply them to our test processor platform under differing sequences, where our evaluation under realistic benchmarks shows that PRITEXT leads to an average 4.99× and a maximum of 13.91× lifetime improvement using 9 generated vectors. In an attempt to reduce hardware overheads even further, we next propose a heuristic to further reduce the number of exercise vectors with minimum loss in lifetime improvement.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© 2017 IEEE.en_US
dc.subjectNegative bias temperature instabilityen_US
dc.subjectSystems analysisen_US
dc.subjectThermodynamic stabilityen_US
dc.subjectVectorsen_US
dc.subjectFailure mechanismen_US
dc.titleMinimal exercise vector generation for reliability improvementen_US
dc.typeConference Papersen_US
dc.collaborationTexas A and M Universityen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.countryCyprusen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conferenceIEEE International Symposium on On-Line Testing and Robust System Designen_US
dc.identifier.doi10.1109/IOLTS.2017.8046205en_US
cut.common.academicyear2017-2018en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-2818-0459-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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