Fast Compositing for Cluster-Parallel Rendering

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dc.contributor.authorMakhinya, Maximen_US
dc.contributor.authorEilemann, Stefanen_US
dc.contributor.authorPajarola, Renatoen_US
dc.contributor.editorJames Ahrens and Kurt Debattista and Renato Pajarolaen_US
dc.date.accessioned2014-01-26T16:53:16Z
dc.date.available2014-01-26T16:53:16Z
dc.date.issued2010en_US
dc.description.abstractThe image compositing stages in cluster-parallel rendering for gathering and combining partial rendering results into a final display frame are fundamentally limited by node-to-node image throughput. Therefore, efficient image coding, compression and transmission must be considered to minimize that bottleneck. This paper studies the different performance limiting factors such as image representation, region-of-interest detection and fast image compression. Additionally, we show improved compositing performance using lossy YUV subsampling and we propose a novel fast region-of-interest detection algorithm that can improve in particular sort-last parallel rendering.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-21-7en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV10/111-120en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Graphics Systems- Distributed Graphics; I.3.m [Computer Graphics]: Miscellaneous-Parallel Renderingen_US
dc.titleFast Compositing for Cluster-Parallel Renderingen_US
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EGPGV10: Eurographics Symposium on Parallel Graphics and Visualization