Fast Compositing for Cluster-Parallel Rendering

Makhinya, Maxim; Eilemann, Stefan; Pajarola, Renato

Fast Compositing for Cluster-Parallel Rendering

Files

111-120.pdf (2.39 MB)

Date

2010

Authors

Makhinya, Maxim
Eilemann, Stefan
Pajarola, Renato

Publisher

The Eurographics Association

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.

        @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
}
}