The Hyperdyadic Tree Index and a Generalized Parallel, In Situ Indexing Methodology for Extreme-scale Scientific Data.

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dc.contributor.advisorNagiza Samatova, Chairen_US
dc.contributor.advisorRada Chirkova, Memberen_US
dc.contributor.advisorRanga Vatsavai, Memberen_US
dc.contributor.advisorKemafor Ogan, Memberen_US
dc.contributor.authorBoyuka, David Andrewen_US
dc.date.accepted2016-04-05en_US
dc.date.accessioned2016-04-06T12:33:42Z
dc.date.available2016-04-06T12:33:42Z
dc.date.defense2016-01-04en_US
dc.date.issued2016-01-04en_US
dc.date.released2016-04-06en_US
dc.date.reviewed2016-01-27en_US
dc.date.submitted2016-01-05en_US
dc.degree.disciplineComputer Scienceen_US
dc.degree.leveldissertationen_US
dc.degree.nameDoctor of Philosophyen_US
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatPh.D. North Carolina State University, 2016.
dc.identifier.otherdeg4909en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/10953
dc.rightsen_US
dc.titleThe Hyperdyadic Tree Index and a Generalized Parallel, In Situ Indexing Methodology for Extreme-scale Scientific Data.en_US
dcterms.extent1 online resource (xii, 116 pages) : illustrations

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