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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/8696
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dc.contributor.authorNaidu, S.R.-
dc.date.accessioned2023-01-24T10:12:41Z-
dc.date.available2023-01-24T10:12:41Z-
dc.date.issued2007-
dc.identifier.urihttps://ieeexplore.ieee.org/document/4092056/keywords#keywords-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8696-
dc.description.abstractThis paper presents a pair of novel techniques to speed-up path-based Monte-Carlo simulation for statistical timing analysis of digital integrated circuits with no loss of accuracy. The presented techniques can be used in isolation or they could be used together. Both techniques can be readily implemented in any statistical timing framework. We compare our proposed Monte-Carlo simulation with traditional Monte-Carlo simulation in a rigorous framework and show that the new method is up to 2 times as efficient as the traditional methoden_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectComputer Scienceen_US
dc.subjectTimingen_US
dc.subjectDigital integrated circuitsen_US
dc.subjectAlgorithm design and analysisen_US
dc.subjectMonte Carlo methodsen_US
dc.subjectRandom variablesen_US
dc.subjectOperations researchen_US
dc.titleSpeeding up Monte-Carlo Simulation for Statistical Timing Analysis of Digital Integrated Circuitsen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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