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dc.contributor.authorMi, Pengen_US
dc.date.accessioned2016-01-20T09:01:13Z
dc.date.available2016-01-20T09:01:13Z
dc.date.issued2016-01-19en_US
dc.identifier.othervt_gsexam:7050en_US
dc.identifier.urihttp://hdl.handle.net/10919/64473
dc.description.abstractInteractive visual analysis has been a key component of gaining insights in information visualization area. However, the amount of data has increased exponentially in the past few years. Existing information visualization techniques lack scalability to deal with big data, such as graphs with millions of nodes, or millions of multidimensional data records. Recently, the remarkable development of Graphics Processing Unit (GPU) makes GPU useful for general-purpose computation. Researchers have proposed GPU based solutions for visualizing big data in graphics and scientific visualization areas. However, GPU based big data solutions in information visualization area are not well investigated. In this thesis, I concentrate on the visualization of big data in information visualization area. More specifically, I focus on visual exploration of large graphs and multidimensional datasets based on the GPU technology. My work demonstrates that GPU based methods are useful for sensemaking of big data in information visualization area.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectInformation Visualizationen_US
dc.subjectGPU based Methodsen_US
dc.titleGPU Based Methods for Interactive Information Visualization of Big Dataen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMSen_US
thesis.degree.nameMSen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairNorth, Christopher Len_US
dc.contributor.committeememberGracanin, Denisen_US
dc.contributor.committeememberCao, Yongen_US


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