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Direct Numerical Simulation of Turbulent Flow Over Dimples – Code Optimization for NEC SX-8 plus Flow Results

In: High Performance Computing in Science and Engineering `07

Author

Listed:
  • M. Breuer

    (University of Erlangen-Nürnberg, Institute of Fluid Mechanics)

  • P. Lammers

    (Höchstleistungsrechenzentrum Stuttgart (HLRS), Nobelstraße 19)

  • T. Zeiser

    (Regionales Rechenzentrum Erlangen (RRZE), Martensstraße 1)

  • G. Hager

    (Regionales Rechenzentrum Erlangen (RRZE), Martensstraße 1)

  • G. Wellein

    (Regionales Rechenzentrum Erlangen (RRZE), Martensstraße 1)

Abstract

The objective of the project DIMPLE is to study complex turbulent flows over a dimpled surface which is expected to lead to drag reduction compared to a smooth surface. In order to understand the physical mechanism of the flow over an arrangement of shallow dimples, CPU time-consuming direct numerical simulations were carried out using two different grid resolutions and three different configurations. As a first step within this project, the code LESOCC was evaluated and optimized for the new vector machine NEC SX-8. Classical vector systems still combine excellent performance with a well-established optimization approach. On the other hand, clusters based on commodity microprocessors offer comparable peak performance at much lower costs. In the context of the introduction of the NEC SX-8 vector computer series we compare single and parallel performance of a computational fluid dynamics application on the SX-8 and on the SGI Altix architecture demonstrating the potential of the SX-8 for teraflop computing in the area of turbulence research and flow control. Finally, results of the flow predictions over a dimpled surface are presented and compared with the reference case of plane channel flow with smooth walls.

Suggested Citation

  • M. Breuer & P. Lammers & T. Zeiser & G. Hager & G. Wellein, 2008. "Direct Numerical Simulation of Turbulent Flow Over Dimples – Code Optimization for NEC SX-8 plus Flow Results," Springer Books, in: Wolfgang E. Nagel & Dietmar Kröner & Michael Resch (ed.), High Performance Computing in Science and Engineering `07, pages 303-318, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-74739-0_21
    DOI: 10.1007/978-3-540-74739-0_21
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