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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Fast compositing for cluster-parallel rendering
Organization Unit
Authors
  • Maxim Makhinya
  • S Eilemann
  • Renato Pajarola
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Page Range 111 - 120
Event Title Eurographics Symposium on Parallel Graphics and Visualization
Event Type workshop
Event Location Norrköping, Sweden
Event Start Date May 2 - 2010
Event End Date May 3 - 2010
Abstract Text 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.
Other Identification Number merlin-id:68
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Keywords graphics, parallel rendering, image compositing