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dc.contributor.authorMarchesin, Stéphaneen_US
dc.contributor.authorMongenet, Catherineen_US
dc.contributor.authorDischler, Jean-Michelen_US
dc.contributor.editorJean M. Favre and Kwan-Liu Maen_US
dc.date.accessioned2014-01-26T16:43:16Z
dc.date.available2014-01-26T16:43:16Z
dc.date.issued2008en_US
dc.identifier.isbn978-3-905674-04-0en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGPGV/EGPGV08/001-008en_US
dc.description.abstractIn this paper, we propose an experimental study of an inexpensive off-the-shelf sort-last volume visualization architecture based upon multiple GPUs and a single CPU. We show how to efficiently make use of this architecture to achieve high performance sort-last volume visualization of large datasets. We analyze the bottlenecks of this architecture.We compare this architecture to a classical sort-last visualization system using a cluster of commodity machines interconnected by a gigabit Ethernet network. Based on extensive experiments, we show that this solution competes very well with a mid-sized PC cluster, while it significantly improves performance compared to a single standard PC.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleMulti-GPU Sort-Last Volume Visualizationen_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US


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