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An Adaptable Simulation Framework Based on a Linearized Octree

In: High Performance Computing on Vector Systems 2011

Author

Listed:
  • Sabine Roller

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Jörg Bernsdorf

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Harald Klimach

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Manuel Hasert

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Daniel Harlacher

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Metin Cakircali

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Simon Zimny

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Kannan Masilamani

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Laura Didinger

    (German Research School for Simulation Sciences GmbH and RWTH)

  • Jens Zudrop

    (German Research School for Simulation Sciences GmbH and RWTH)

Abstract

This work presents the basic concepts of the simulation framework Apes, which allows for large scale distributed computations. The main idea of this framework is a commonly used data structure to represent the geometry for various physical solvers and their pre- and post- processing tools. To enable highly parallel computations in a mesh based simulation it is desirable to minimize the necessary local knowledge on each partition of the mesh about the global mesh and remote partitions. In order to achieve this goal of minimal required global information, an octree structure is chosen in the framework. This tree based elemental mesh builds the basis of the presented framework and is available as a Fortran library. Flexible configuration of the simulations is achieved by using the Lua scripting language for configuration files, which is wrapped in a convenience library to easily retrieve configuration data from the scripts in Fortran.

Suggested Citation

  • Sabine Roller & Jörg Bernsdorf & Harald Klimach & Manuel Hasert & Daniel Harlacher & Metin Cakircali & Simon Zimny & Kannan Masilamani & Laura Didinger & Jens Zudrop, 2011. "An Adaptable Simulation Framework Based on a Linearized Octree," Springer Books, in: Michael Resch & Xin Wang & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi & Sabine Roller (ed.), High Performance Computing on Vector Systems 2011, pages 93-105, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-22244-3_7
    DOI: 10.1007/978-3-642-22244-3_7
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