• Login
    View Item 
    •   Home
    • Research
    • Articles
    • View Item
    •   Home
    • Research
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguidePlumX LibguideSubmit an Item

    Statistics

    Display statistics

    A framework for gpu-accelerated exploration of massive time-varying rectilinear scalar volumes

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    ev2019-gpudynadvr.pdf
    Size:
    12.00Mb
    Format:
    PDF
    Description:
    Accepted manuscript
    Download
    Type
    Article
    Authors
    Marton, Fabio
    Agus, Marco
    Gobbetti, Enrico
    KAUST Department
    Visual Computing Center (VCC)
    Date
    2019-07-10
    Online Publication Date
    2019-07-10
    Print Publication Date
    2019-06
    Embargo End Date
    2020-01-01
    Permanent link to this record
    http://hdl.handle.net/10754/656776
    
    Metadata
    Show full item record
    Abstract
    We introduce a novel flexible approach to spatiotemporal exploration of rectilinear scalar volumes. Our out-of-core representation, based on per-frame levels of hierarchically tiled non-redundant 3D grids, efficiently supports spatiotemporal random access and streaming to the GPU in compressed formats. A novel low-bitrate codec able to store into fixed-size pages a variable-rate approximation based on sparse coding with learned dictionaries is exploited to meet stringent bandwidth constraint during time-critical operations, while a near-lossless representation is employed to support high-quality static frame rendering. A flexible high-speed GPU decoder and raycasting framework mixes and matches GPU kernels performing parallel object-space and image-space operations for seamless support, on fat and thin clients, of different exploration use cases, including animation and temporal browsing, dynamic exploration of single frames, and high-quality snapshots generated from near-lossless data. The quality and performance of our approach are demonstrated on large data sets with thousands of multi-billion-voxel frames.
    Citation
    Marton, F., Agus, M., & Gobbetti, E. (2019). A framework for GPU-accelerated exploration of massive time-varying rectilinear scalar volumes. Computer Graphics Forum, 38(3), 53–66. doi:10.1111/cgf.13671
    Sponsors
    The authors would like to warmly thank Peter Lindstrom (ZFP), Mar Treib (CC), and Sheng Di, Dingwen Tao, Xin Liang (SZ) for making their ompression odes availableDatasets ISO, HBDT and CHAN are ourtesy of the Johns Hopkins Turbulene Database (JHTDB) initiative. Dataset RT is ourtesy of LLNL. We also aknowledge the ontribution of Sardinian Regional Authorities (projets VIGECLAB and TDM) and of King Abdullah University of Siene and Tehnology (KAUST).
    Publisher
    Blackwell Publishing Ltd
    Journal
    Computer Graphics Forum
    DOI
    10.1111/cgf.13671
    Additional Links
    https://onlinelibrary.wiley.com/doi/abs/10.1111/cgf.13671
    ae974a485f413a2113503eed53cd6c53
    10.1111/cgf.13671
    Scopus Count
    Collections
    Articles; Visual Computing Center (VCC)

    entitlement

     
    DSpace software copyright © 2002-2021  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.