Optimizing multi-image sort-last parallel rendering

Sort-last parallel rendering can be improved by considering the rendering of multiple images at a time. Most parallel rendering algorithms consider the generation of only a single image. This makes sense when performing interactive rendering where the parameters of each rendering are not known until...

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Veröffentlicht in:2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV) S. 37 - 46
Hauptverfasser: Larsen, Matthew, Moreland, Kenneth, Johnson, Chris R., Childs, Hank
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2016
Schlagworte:
Cameras
Data visualization
Electronic mail
Geometry
I.3.2 [Computer Graphics]: Graphics Systems - Distributed/network graphics
I.3.6 [Computer Graphics]: General
Motion pictures
Rendering (computer graphics)
Software
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Zusammenfassung:Sort-last parallel rendering can be improved by considering the rendering of multiple images at a time. Most parallel rendering algorithms consider the generation of only a single image. This makes sense when performing interactive rendering where the parameters of each rendering are not known until the previous rendering completes. However, in situ visualization often generates multiple images that do not need to be created sequentially. In this paper we present a simple and effective approach to improving parallel image generation throughput by amortizing the load and overhead among multiple image renders. Additionally, we validate our approach by conducting a performance study exploring the achievable speed-ups in a variety of image-based in situ use cases and rendering workloads. On average, our approach shows a 1.5 to 3.7 fold improvement in performance, and in some cases, shows a 10 fold improvement.
DOI:10.1109/LDAV.2016.7874308