Enabling visualization of massive datasets through MPP database architecture

A. Al-Naser, M. Rasheed, J. Brooke, D. Irving

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We 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. © The Eurographics Association 2011.
Original languageEnglish
Title of host publicationTheory and Practice of Computer Graphics 2011, TPCG 2011 - Eurographics UK Chapter Proceedings|Theory Pract. Comput. Graph., TPCG - Eurographics UK Chapter Proc.
PublisherEurographics Association
Number of pages3
ISBN (Print)9783905673838
Publication statusPublished - 2011
Event9th Theory and Practice of Computer Graphics Conference, TPCG 2011 - Warwick
Duration: 1 Jul 2011 → …


Conference9th Theory and Practice of Computer Graphics Conference, TPCG 2011
Period1/07/11 → …


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