Distributed particle-based rendering framework for large data visualization on hpc environments

Jorji Nonaka, Naohisa Sakamoto, Takashi Shimizu, Masahiro Fujita, Kenji Ono, Koji Koyamada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    In this paper, we present a distributed data visualization framework for HPC environments based on the PBVR (Particle Based Volume Rendering) method. The PBVR method is a kind of point-based rendering approach where the volumetric data to be visualized is represented as a set of small and opaque particles. This method has the object-space and image-space variants, defined by the place (object or image- space) where the particle data sets are generated. We focused on the object-space approach, which has the advantage when handling large-scale simulation data sets such as those generated by modern HPC systems. In the object-space approach, the particle generation and the subsequent rendering processes can be easily decoupled. In this work, we took advantage of this separability to implement the proposed distributed rendering framework. The particle generation process utilizes the functionalities provided by the KVS (Kyoto Visualization System), and the particle rendering process utilizes the functionalities provided by the HIVE (Heterogeneously Integrated Visual- analytics Environment). The proposed distributed visualization framework is targeted to work also on systems without any hardware graphics acceleration capability, which are commonly found on modern HPC operational environments. We evaluated this PBVR-based distributed visualization infrastructure on the K computer operational environment by utilizing a CPU-only processing server for the particle data generation and rendering. In this preliminary evaluation, using some CFD (Computational Fluid Dynamics) simulation data sets, we obtained encouraging results for pushing further the development in order to make this system available as an effective visualization alternative for the HPC users.

    Original languageEnglish
    Title of host publicationProceedings - 2017 International Conference on High Performance Computing and Simulation, HPCS 2017
    EditorsWaleed W. Smari
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages300-307
    Number of pages8
    ISBN (Electronic)9781538632505
    DOIs
    Publication statusPublished - Sep 12 2017
    Event15th International Conference on High Performance Computing and Simulation, HPCS 2017 - Genoa, Italy
    Duration: Jul 17 2017Jul 21 2017

    Publication series

    NameProceedings - 2017 International Conference on High Performance Computing and Simulation, HPCS 2017

    Conference

    Conference15th International Conference on High Performance Computing and Simulation, HPCS 2017
    Country/TerritoryItaly
    CityGenoa
    Period7/17/177/21/17

    All Science Journal Classification (ASJC) codes

    • Computer Science Applications
    • Information Systems and Management
    • Modelling and Simulation
    • Computer Networks and Communications
    • Computer Science (miscellaneous)

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