Adding Interlacing to In-Situ Data Compression for Multi-Resolution Visualization of Large-Scale Scientific Simulations

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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Large-scale simulations in HPC environments produce massive data sets in the order of several terabytes which pose challenges both to data storage and data analysis. A promising approach for reducing the amount of data written out during simulation runs is in-situ compression. However, even compressed data sets are typically still much too large for interactive visual data exploration. We propose an interlacing scheme applicable to in-situ compression in order to write out results of HPC simulations in a compressed multi-resolution format. This data format allows progressive loading of large scientific data sets in high-end immersive displays. Low-resolution views are easily extracted for visualizations on low-end displays such as hand-held devices and web browsers.
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@inproceedings{
:10.2312/ve.20141370
, booktitle = {
ICAT-EGVE 2014 - Posters and Demos
}, editor = {
Yuki Hashimoto and Torsten Kuhlen and Ferran Argelaguet and Takayuki Hoshi and Marc Erich Latoschik
}, title = {{
Adding Interlacing to In-Situ Data Compression for Multi-Resolution Visualization of Large-Scale Scientific Simulations
}}, author = {
Lehmann, Henry
and
Lenk, Matthias
and
Jung, Bernhard
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-905674-77-4
}, DOI = {
/10.2312/ve.20141370
} }
Citation