Fast Compositing for Cluster-Parallel Rendering
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2010Author
Pajarola, Renato 
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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.
BibTeX
@inproceedings {10.2312:EGPGV:EGPGV10:111-120,
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
editor = {James Ahrens and Kurt Debattista and Renato Pajarola},
title = {{Fast Compositing for Cluster-Parallel Rendering}},
author = {Makhinya, Maxim and Eilemann, Stefan and Pajarola, Renato},
year = {2010},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {978-3-905674-21-7},
DOI = {10.2312/EGPGV/EGPGV10/111-120}
}
booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
editor = {James Ahrens and Kurt Debattista and Renato Pajarola},
title = {{Fast Compositing for Cluster-Parallel Rendering}},
author = {Makhinya, Maxim and Eilemann, Stefan and Pajarola, Renato},
year = {2010},
publisher = {The Eurographics Association},
ISSN = {1727-348X},
ISBN = {978-3-905674-21-7},
DOI = {10.2312/EGPGV/EGPGV10/111-120}
}