Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/6648
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dc.contributor.authorPatel, Aesha-
dc.date.accessioned2016-07-14T07:55:10Z-
dc.date.available2016-07-14T07:55:10Z-
dc.date.issued2016-06-01-
dc.identifier.urihttp://hdl.handle.net/123456789/6648-
dc.description.abstractMRI is used in medical field for identifying diagnostic and stage of diagnostic.The team is looking to have high performance and real time computing running out of a single workstation class computer. One of the approach is hardware assisted vir- tualization. That is with hardware assisted virtualization explore the possibility of running high performance computing components and real time computing compo- nents out of a single box. In case of high performance computing we are looking at general purpose os that uses native API expoed by plaform for computing and in case of real time, a RT OS tuned to a very low latency of the order of 100us.From virtualization viewpoint we have recognized numerous virtualization strategies that is especially utilized for a present equipment as a part of a framework and used those procedures so as to advance the execution in the new machine setup and create utility which gives us data with respect to all CPU feature and their accessibility to each machine. To enhance execution we investigate this outcome and consolidate it with supportable virtualization techniques.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries14MCEC18;-
dc.subjectComputer 2014en_US
dc.subjectProject Report 2014en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject14MCEen_US
dc.subject14MCECen_US
dc.subject14MCEC18en_US
dc.titleHigh Performance and Real Time Computing On Hardware Assisted Virtualized Platformen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

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