An approach to integrate a space-time GIS data model with high performance computers

  • Authors:

  • Dali Wang;Ziliang Zhao;Shih-Lung Shaw

  • Affiliations:

  • Oak Ridge National Lab, Oak Ridge, TN;University of Tennessee, Knoxville, TN;University of Tennessee, Knoxville, TN

  • Venue:
  • Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems
  • Year:
  • 2011

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Abstract

In this paper, we describe an approach to integrate a Space-Time GIS data model on a high performance computing platform. The Space-Time GIS data model has been developed on a desktop computing environment. We use the Space-Time GIS data model to generate GIS module, which organizes a series of remote sensing data. We are in the process of porting the GIS module into an HPC environment, in which the GIS modules handle large dataset directly via parallel file system. Although it is an ongoing project, authors hope this effort can inspire further discussions on the integration of GIS on high performance computing platforms.