• DocumentCode
    2725140
  • Title

    Using Parallel MultiCore and HPC Systems for Dynamical Visualisation

  • Author

    Ruckemann, C.-P.

  • Author_Institution
    Leibniz Univ. Hannover, Hannover
  • fYear
    2009
  • fDate
    1-7 Feb. 2009
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    This paper gives an overview of the current developments for using High Performance Computing (HPC) and Grid Computing resources with Geoscientific Information Systems (GIS) based on the GISIG actmap-project. Focus is on frameworks for the use of computing resources, interfaces for data and application interchange. Using an interface with the Active Source framework, cluster components for Massively Parallel Processing and Symmetric Multi-Processing can be accessed from within dynamical visualisation and information application components. The method of event triggering from within Active Source can be used to exploit the vast computing power of MultiCore parallel systems for geoinformation processing, geophysical data analysis, information systems, and e-Science. As various obstacles showed up with implementing an application-resource workflow, in the future the creation of Web Services for HPC services will be a solution for dedicated issues.For implementation testing the new supercomputer resources HLRN-II(North-German Supercomputing Alliance) have been used.
  • Keywords
    application program interfaces; data visualisation; geographic information systems; geophysics computing; grid computing; multiprocessing systems; parallel processing; resource allocation; GISIG actmap-project; active source framework; application interchange; cluster component; data interchange; dynamical visualisation; e-science; geophysical data analysis; geoscientific information system; grid computing resource management; high performance computing; massive parallel processing; parallel multicore system; symmetric multiprocessing; Computer interfaces; Concurrent computing; Geographic Information Systems; Geophysics computing; Grid computing; High performance computing; Information systems; Multicore processing; Parallel processing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Geographic Information Systems & Web Services, 2009. GEOWS '09. International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-3363-6
  • Electronic_ISBN
    978-0-7695-3527-2
  • Type

    conf

  • DOI
    10.1109/GEOWS.2009.14
  • Filename
    4782685