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gridlib — A Parallel, Object-Oriented Framework for Hierarchical-Hybrid Grid Structures in Technical Simulation and Scientific Visualization

In: High Performance Computing in Science and Engineering, Munich 2002

Author

Listed:
  • Peter Kipfer

    (University of Erlangen, Computer Graphics Group)

  • Frank Hülsemann

    (University of Erlangen, System Simulation Group)

  • Stefan Meinlschmidt

    (University of Erlangen, Computer Graphics Group)

  • Ben Bergen

    (University of Erlangen, System Simulation Group)

  • Günther Greiner

    (University of Erlangen, Computer Graphics Group)

  • Ulrich Rüde

    (University of Erlangen, System Simulation Group)

Abstract

This paper presents the gridlib software framework for integrated simulation and visualization. It provides modern object-oriented programming methods for supercomputer applications. While allowing the reuse of existing simulation codes, it enables writing new applications using advanced programming techniques. In this paper, we also present the concept of hierarchical hybrid grids as an efficient and flexible grid data structure for large scale computations. The resulting enormous amounts of data of nowadays applications can be visualized directly on the supercomputer as an integrated part of the whole simulation cycle, avoiding the typical bottleneck of supercomputers: external communication channels.

Suggested Citation

  • Peter Kipfer & Frank Hülsemann & Stefan Meinlschmidt & Ben Bergen & Günther Greiner & Ulrich Rüde, 2003. "gridlib — A Parallel, Object-Oriented Framework for Hierarchical-Hybrid Grid Structures in Technical Simulation and Scientific Visualization," Springer Books, in: Siegfried Wagner & Arndt Bode & Werner Hanke & Franz Durst (ed.), High Performance Computing in Science and Engineering, Munich 2002, pages 493-505, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55526-8_39
    DOI: 10.1007/978-3-642-55526-8_39
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