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    Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail

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    Date
    2015
    Author
    Rizzi, Silvio ORCID
    Hereld, Mark
    Insley, Joseph
    Papka, Michael E.
    Uram, Thomas
    Vishwanath, Venkatram
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    Abstract
    Recent large-scale particle-based simulations are generating vast amounts of data posing a challenge to visualization algorithms. One possibility for addressing this challenge is to map particles into a regular grid for volume rendering, which carries the disadvantages of inefficient use of memory and undesired losses of dynamic range. As an alternative, we propose a method to efficiently visualize these massive particle datasets using point rendering techniques with neither loss of dynamic range nor memory overheads. In addition, a hierarchical reorganization of the data is desired to deliver meaningful visual representations of a large number of particles in a limited number of pixels, preserving point locality and also helping achieve interactive frame rates. In this paper, we present a framework for parallel rendering of large-scale particle data sets combining point sprites and z-ordering. The latter is used to create a multi level representation of the data which helps improving frame rates. Performance and scalability are evaluated on a GPU-based visualization cluster, scaling up to 128 GPUs. Results using particle datasets of up to 32 billion particles are shown.
    BibTeX
    @inproceedings {10.2312:pgv.20151149,
    booktitle = {Eurographics Symposium on Parallel Graphics and Visualization},
    editor = {C. Dachsbacher and P. Navrátil},
    title = {{Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail}},
    author = {Rizzi, Silvio and Hereld, Mark and Insley, Joseph and Papka, Michael E. and Uram, Thomas and Vishwanath, Venkatram},
    year = {2015},
    publisher = {The Eurographics Association},
    DOI = {10.2312/pgv.20151149}
    }
    URI
    http://dx.doi.org/10.2312/pgv.20151149
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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