Fast compositing for cluster-parallel rendering

  • Authors:
  • M. Makhinya;S. Eilemann;R. Pajarola

  • Affiliations:
  • Visualization and MultiMedia Lab, University of Zürich;Eyescale Software GmbH and Visualization and MultiMedia Lab, University of Zürich;Visualization and MultiMedia Lab, University of Zürich

  • Venue:
  • EG PGV'10 Proceedings of the 10th Eurographics conference on Parallel Graphics and Visualization
  • Year:
  • 2010

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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.