A Scalable Cluster-based Parallel Simplification Framework for Height Fields

Simple item page
dc.contributor.authorGouranton, V.en_US
dc.contributor.authorLimet, S.en_US
dc.contributor.authorMadougou, S.en_US
dc.contributor.authorMelin, E.en_US
dc.contributor.editorDirk Bartz and Bruno Raffin and Han-Wei Shenen_US
dc.date.accessioned2014-01-26T16:25:02Z
dc.date.available2014-01-26T16:25:02Z
dc.date.issued2004en_US
dc.description.abstractIn this paper, we present a method to interactively render 3D large datasets on a PC Cluster. Classical methods use simplification to fill up the gap between such models and graphics card capabilities. Unfortunatelly, simplification algorithms are time and memory consuming and they allow real-time interaction only for a restricted size of models. This work focuses on parallelizing Rottger's simplification algorithm for height fields but the main ideas can be generalized to other scientific areas. The method benefits from the scalable computating power of clusters. As our results show it, this permits us to achieve a data scaling while maintaining an acceptable frame rate with real-time interaction. Moreover, the scheme can take avantage of tiled-display environments.en_US
dc.description.seriesinformationEurographics Workshop on Parallel Graphics and Visualizationen_US
dc.identifier.isbn3-905673-11-8en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV04/059-066en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA Scalable Cluster-based Parallel Simplification Framework for Height Fieldsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
059-066.pdf
Size:
1.13 MB
Format:
Adobe Portable Document Format
Download
Collections
EGPGV04: Eurographics Symposium on Parallel Graphics and Visualization