@inproceedings{c7ce8f6a88904ffcbd429b7fb2efc4d0,
title = "Optimizing multi-image sort-last parallel rendering",
abstract = "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.",
keywords = "I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphics, I.3.6 [Computer Graphics]: General",
author = "Matthew Larsen and Kenneth Moreland and Johnson, {Chris R.} and Hank Childs",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th IEEE Symposium on Large-Scale Data Analysis and Visualization, LDAV 2016 ; Conference date: 23-10-2016",
year = "2017",
month = mar,
day = "8",
doi = "10.1109/LDAV.2016.7874308",
language = "English",
series = "IEEE Symposium on Large Data Analysis and Visualization 2016, LDAV 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "37--46",
editor = "Kenneth Moreland and Markus Hadwiger and Ross Maciejewski",
booktitle = "IEEE Symposium on Large Data Analysis and Visualization 2016, LDAV 2016 - Proceedings",
}