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waLBerla: The Need for Large-Scale Super Computers

In: High Performance Computing in Science and Engineering, Garching/Munich 2007

Author

Listed:
  • S. Donath

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • J. Götz

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • S. Bergler

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • C. Feichtinger

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • K. Iglberger

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

  • U. Rüde

    (University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation))

Abstract

The simulation of complex real-life scenarios in fluid dynamics demands a vast amount of computing time and memory that can only be provided by the latest supercomputers. With the access to HLRB II we now have the opportunity to exploit its resources by computing very large-scale lattice Boltzmann simulations of various kinds of interesting problems in fluid dynamics. To be able to benefit from the parallel architecture the target of our software project waLBerla is to provide a parallel, highly scalable and performance-optimized lattice Boltzmann solver. In this paper we present five different fluid dynamics applications that are integrated in waLBerla and that will fully demand the capacities of HLRB II. At its early stage of development, waLBerla has already shown promising results on up to 812 cores. In the course of this project we will further develop the software to be able to take advantage of heterogeneous computer architectures consisting of multi-core CPUs, cell processors and graphics cards.

Suggested Citation

  • S. Donath & J. Götz & S. Bergler & C. Feichtinger & K. Iglberger & U. Rüde, 2009. "waLBerla: The Need for Large-Scale Super Computers," Springer Books, in: Siegfried Wagner & Matthias Steinmetz & Arndt Bode & Matthias Brehm (ed.), High Performance Computing in Science and Engineering, Garching/Munich 2007, pages 459-473, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-69182-2_37
    DOI: 10.1007/978-3-540-69182-2_37
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