Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters

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dc.contributor.authorStrengert, Magnusen_US
dc.contributor.authorMagallón, Marceloen_US
dc.contributor.authorWeiskopf, Danielen_US
dc.contributor.authorGuthe, Stefanen_US
dc.contributor.authorErtl, Thomasen_US
dc.contributor.editorDirk Bartz and Bruno Raffin and Han-Wei Shenen_US
dc.date.accessioned2014-01-26T16:25:01Z
dc.date.available2014-01-26T16:25:01Z
dc.date.issued2004en_US
dc.description.abstractWe describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object space, and the intermediate images are combined to a final picture in a sort-last approach. Hierarchical wavelet compression is applied to increase the effective size of volumes that can be handled. An adaptive rendering mechanism takes into account the viewing parameters and the properties of the data set to adjust the texture resolution and number of slices. We discuss the specific issues of this adaptive and hierarchical approach in the context of a distributed memory architecture and present solutions for these problems. Furthermore, our compositing scheme takes into account the footprints of volume bricks to minimize the costs for reading from framebuffer, network communication, and blending. A detailed performance analysis is provided and scaling characteristics of the parallel system are discussed. For example, our tests on a 16-node PC cluster show a rendering speed of 5 frames per second for a 2048x1024x1878 data set on a 10242 viewport.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/EGPGV04/041-048en_US
dc.publisherThe Eurographics Associationen_US
dc.titleHierarchical Visualization and Compression of Large Volume Datasets Using GPU Clustersen_US
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EGPGV04: Eurographics Symposium on Parallel Graphics and Visualization