HEAL DSpace

Yield prediction for architecture exploration in nanometer technology nodes: : a model and case study for memory organizations

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dc.contributor.author Papanikolaou, A en
dc.contributor.author Grabner, T en
dc.contributor.author Miranda, M en
dc.contributor.author Roussel, P en
dc.contributor.author Catthoor, F en
dc.date.accessioned 2014-03-01T02:50:17Z
dc.date.available 2014-03-01T02:50:17Z
dc.date.issued 2006 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/35028
dc.subject Case Study en
dc.subject Energy Consumption en
dc.subject Perforation en
dc.subject Yield Loss en
dc.subject Yield Prediction en
dc.title Yield prediction for architecture exploration in nanometer technology nodes: : a model and case study for memory organizations en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1176254.1176315 en
heal.identifier.secondary http://dx.doi.org/10.1145/1176254.1176315 en
heal.publicationDate 2006 en
heal.abstract Process variability has a detrimental impact on the perfor- mance of memories and other system components, which can lead to parametric yield loss at the system level due to timing violations. Conventional yield models do not allow to accurately analyze this, at least not at the system level. In this paper we propose a technique to estimate this sys- tem en
heal.journalName International Conference on Hardware/Software Codesign and System Synthesis en
dc.identifier.doi 10.1145/1176254.1176315 en


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