Techniques to Improve the Usability of Software Signature Based Data Dependence Profilers for Feedback Driven Optimizations

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dc.contributor.advisorJames Tuck, Chair
dc.contributor.advisorEric Rotenberg, Member
dc.contributor.advisorHuiyang Zhou, Member
dc.contributor.authorSole, Laxman Ghanasham
dc.date.accepted2017-07-06
dc.date.accessioned2017-07-08T12:31:54Z
dc.date.available2017-07-08T12:31:54Z
dc.date.defense2017-05-12
dc.date.issued2017-05-12
dc.date.released2017-07-08
dc.date.reviewed2017-05-24
dc.date.submitted2017-05-17
dc.degree.disciplineComputer Engineering
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.descriptionNorth Carolina State University Theses Computer Engineering.
dc.formatM.S. North Carolina State University, 2017.
dc.identifier.otherdeg6734
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/34390
dc.rights
dc.titleTechniques to Improve the Usability of Software Signature Based Data Dependence Profilers for Feedback Driven Optimizations
dcterms.extent1 online resource (ix, 77 pages) : illustrations, charts

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