Optimizing Data Placement and Threads Management for Heterogeneous Computing.

dc.contributor.advisorXipeng Shen, Chair
dc.contributor.advisorHuiyang Zhou, Member
dc.contributor.advisorRainer Mueller, Member
dc.contributor.advisorVincent Freeh, Member
dc.contributor.authorChen, Guoyang
dc.date.accepted2016-11-14
dc.date.accessioned2016-11-17T13:32:02Z
dc.date.available2016-11-17T13:32:02Z
dc.date.defense2016-10-25
dc.date.issued2016-10-25
dc.date.released2016-11-17
dc.date.reviewed2016-11-02
dc.date.submitted2016-10-25
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatPh.D. North Carolina State University, 2016.
dc.identifier.otherdeg5631
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/33309
dc.rights
dc.titleOptimizing Data Placement and Threads Management for Heterogeneous Computing.
dcterms.extent1 online resource (xii, 167 pages) : illustrations, charts

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
28.76 MB
Format:
Adobe Portable Document Format

Collections