Makhinya, MaximEilemann, StefanPajarola, RenatoJames Ahrens and Kurt Debattista and Renato Pajarola2014-01-262014-01-262010978-3-905674-21-71727-348Xhttps://doi.org/10.2312/EGPGV/EGPGV10/111-120The 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.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