Accelerating and Benchmarking Radix-k Image Compositing at Large Scale

dc.contributor.authorKendall, Wesleyen_US
dc.contributor.authorPeterka, Tomen_US
dc.contributor.authorHuang, Jianen_US
dc.contributor.authorShen, Han-Weien_US
dc.contributor.authorRoss, Roberten_US
dc.contributor.editorJames Ahrens and Kurt Debattista and Renato Pajarolaen_US
dc.date.accessioned2014-01-26T16:53:16Z
dc.date.available2014-01-26T16:53:16Z
dc.date.issued2010en_US
dc.description.abstractRadix-k was introduced in 2009 as a configurable image compositing algorithm. The ability to tune it by selecting k-values allows it to benefit more from pixel reduction and compression optimizations than its predecessors. This paper describes such optimizations in Radix-k, analyzes their effects, and demonstrates improved performance and scalability. In addition to bounding and run-length encoding pixels, k-value selection and load balance are regulated at run-time. Performance is systematically analyzed for an array of process counts, image sizes, and HPC and graphics clusters. Analyses are performed using compositing of synthetic images and also in the context of a complete volume renderer and scientific data. We demonstrate increased performance over binary swap and show that 64 megapixels can be composited at rates of 0.08 seconds, or 12.5 frames per second, at 32 K processes.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-21-7en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV10/101-110en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.1 [Hardware Architecture]: Parallel processing- I.3.2 [Graphics Systems]: Distributed / network graphics-I.3.7 [Three-Dimensional Graphics and Realism]: Raytracing-I.3.8 [Applications]: Image compositing-Volume renderingen_US
dc.titleAccelerating and Benchmarking Radix-k Image Compositing at Large Scaleen_US
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