Please use this identifier to cite or link to this item: http://drsr.daiict.ac.in//handle/123456789/128
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorNagchoudhuri, Dipankar
dc.contributor.authorPatel, Jay
dc.date.accessioned2017-06-10T14:37:04Z-
dc.date.available2017-06-10T14:37:04Z-
dc.date.issued2006
dc.identifier.citationPatel, Jay (2006). Statistical delay modeling and analysis for system on chip. Dhirubhai Ambani Institute of Information and Communication Technology, viii, 49 p. (Acc.No: T00091)
dc.identifier.urihttp://drsr.daiict.ac.in/handle/123456789/128-
dc.description.abstractIt is seen that designing using conventional methodologies in Deep Sub Micron geometries, at times, ends up in very pessimistic design and less yield. This is because, today’s tools don’t consider statistical variation of parameters in the fabrication process. IC manufacturer can give probability distribution of such parameters. Using those distributions the tool to be designed will give the probability distribution for delays and slacks. A probabilistic estimation can be made about design functioning in deep sub micron geometries. The delays will have probability distributions based on the parameter variations. These distributions can be found using the way of SPICE simulations. But when circuit complexity increases, these simulations will take a lot of time and it is not the suitable way for large designs. A quick and efficient model has been developed based on MOSFET characteristics. Moreover, a statistical delay model for propagation delay of a gate has also been worked out. Also new methodology and implementation scheme is proposed.
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectIntegrated circuits
dc.subjectSystem on Chip
dc.subjectVLSI
dc.subjectVery Large Scale Integrated
dc.classification.ddc621.395 PAT
dc.titleStatistical delay modeling and analysis for system on chip
dc.typeDissertation
dc.degreeM. Tech
dc.student.id200411030
dc.accession.numberT00091
Appears in Collections:M Tech Dissertations

Files in This Item:
File Description SizeFormat 
200411030.pdf
  Restricted Access
461.36 kBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.