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

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    Date
    2014
    Author
    Lehmann, Henry
    Lenk, Matthias
    Jung, Bernhard
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    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.
    BibTeX
    @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}
    }
    URI
    http://dx.doi.org/10.2312/ve.20141370
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA