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International Journal of Parallel Programming

, Volume 41, Issue 4, pp 552–569 | Cite as

Online Mesh Refinement for Parallel Atmospheric Models

  • Claudio Schepke
  • Nicolas Maillard
  • Joerg Schneider
  • Hans-Ulrich Heiss
Article

Abstract

Forecast precisions of climatological models are limited by computing power and time available for the executions. As more and faster processors are used in the computation, the resolution of the mesh adopted to represent the Earth’s atmosphere can be increased, and consequently the numerical forecast is more accurate. However, a finer mesh resolution, able to include local phenomena in a global atmosphere integration, is still not possible due to the large number of data elements to compute in this case. To overcome this situation, different mesh refinement levels can be used at the same time for different areas of the domain. Thus, our paper evaluates how mesh refinement at run time (online) can improve performance for climatological models.The online mesh refinement (OMR) increases dynamically mesh resolution in parts of a domain,when special atmosphere conditions are registered during the execution. Experimental results show that the execution of a model improved by OMR provides better resolution for the meshes, without any significant increase of execution time. The parallel performance of the simulations is also increased through the creation of threads in order to explore different levels of parallelism.

Keywords

Atmospheric models Online mesh refinement Parallel applications High performance computing 

Notes

Acknowledgments

This work was supported by the Brazilian research foundation Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)—“National Counsel of Technological and Scientific Development”.

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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Claudio Schepke
    • 1
  • Nicolas Maillard
    • 1
  • Joerg Schneider
    • 2
  • Hans-Ulrich Heiss
    • 2
  1. 1.Programa de Pós-Graduação em Computação (PPGC)Instituto de Informática, Universidade Federal do Rio Grande do Sul (UFRGS)Porto AlegreBrazil
  2. 2.Fachgebiet Kommunikations- und Betriebssysteme (KBS)Institut für Telekommunikationssysteme, Technische Universität Berlin (TU-Berlin)BerlinGermany

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