Remote High Performance Visualization of Big Data for Immersive Science

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dc.contributor.authorAbidi, Faiz Abbasen
dc.contributor.committeechairPolys, Nicholas F.en
dc.contributor.committeememberGabbard, Joseph L.en
dc.contributor.committeememberNorth, Christopher L.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2017-06-16T08:00:14Zen
dc.date.available2017-06-16T08:00:14Zen
dc.date.issued2017-06-15en
dc.description.abstractRemote visualization has emerged as a necessary tool in the analysis of big data. High-performance computing clusters can provide several benefits in scaling to larger data sizes, from parallel file systems to larger RAM profiles to parallel computation among many CPUs and GPUs. For scalable data visualization, remote visualization tools and infrastructure is critical where only pixels and interaction events are sent over the network instead of the data. In this paper, we present our pipeline using VirtualGL, TurboVNC, and ParaView to render over 40 million points using remote HPC clusters and project over 26 million pixels in a CAVE-style system. We benchmark the system by varying the video stream compression parameters supported by TurboVNC and establish some best practices for typical usage scenarios. This work will help research scientists and academicians in scaling their big data visualizations for real time interaction.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:11661en
dc.identifier.urihttp://hdl.handle.net/10919/78210en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectRemote renderingen
dc.subjectCAVEen
dc.subjectHPCen
dc.subjectParaViewen
dc.subjectBig Dataen
dc.titleRemote High Performance Visualization of Big Data for Immersive Scienceen
dc.typeThesisen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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