Enabling Visualization of Massive Datasets Through MPP Database Architecture

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dc.contributor.authorAl-Naser, Aqeelen_US
dc.contributor.authorRasheed, Masrooren_US
dc.contributor.authorBrooke, Johnen_US
dc.contributor.authorIrving, Duncanen_US
dc.contributor.editorIan Grimstead and Hamish Carren_US
dc.date.accessioned2013-10-31T10:30:57Z
dc.date.available2013-10-31T10:30:57Z
dc.date.issued2011en_US
dc.description.abstractWe are developing a novel visualization architecture which is specifically designed to render very large (terabyte scale) datasets. Our method differs from the classic visualization pipeline of Harber and McNabb. In particular we eliminate the need to create geometric objects, for example surfaces composed of polygons, as a stage before rendering. Such objects require specialist HPC servers for their creation and manipulation; our solution eliminates the need for such servers. We replace the geometric objects by structures stored and tagged in a database next to the original dataset; we call these Spatially Registered Data Structures (SRDS). Such structures are linked to a single rendering pipeline through the on-the-fly creation of a Feature Embedded Spatial Volume (FESVo). This solution exploits recently developed capabilities of in-database Massive Parallel Processing (MPP) and parallel data streaming, together with the rapidly developing capabilities of GPUs. We describe an early prototype of an architecture applied to seismic data from the oil and gas industry.en_US
dc.description.seriesinformationTheory and Practice of Computer Graphicsen_US
dc.identifier.isbn978-3-905673-83-8en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/TPCG/TPCG11/109-112en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.1 [Computer Graphics]: Hardware Architecture- Parallel processing I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics I.3.6 [Computer Graphics]: Methodology and Techniques-Graphics data structures and data types, Standards I.3.8 [Computer Graphics]: Applicationsen_US
dc.titleEnabling Visualization of Massive Datasets Through MPP Database Architectureen_US
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