dc.contributor.author | Makhinya, Maxim | en_US |
dc.contributor.author | Eilemann, Stefan | en_US |
dc.contributor.author | Pajarola, Renato | en_US |
dc.contributor.editor | James Ahrens and Kurt Debattista and Renato Pajarola | en_US |
dc.date.accessioned | 2014-01-26T16:53:16Z | |
dc.date.available | 2014-01-26T16:53:16Z | |
dc.date.issued | 2010 | en_US |
dc.identifier.isbn | 978-3-905674-21-7 | en_US |
dc.identifier.issn | 1727-348X | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/EGPGV/EGPGV10/111-120 | en_US |
dc.description.abstract | The 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.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.2 [Computer Graphics]: Graphics Systems- Distributed Graphics; I.3.m [Computer Graphics]: Miscellaneous-Parallel Rendering | en_US |
dc.title | Fast Compositing for Cluster-Parallel Rendering | en_US |
dc.description.seriesinformation | Eurographics Symposium on Parallel Graphics and Visualization | en_US |