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Dynamic Load-Balancing for the STEM-II Air Quality Model

  • J. Carlos Mouriño
  • María J. Martín
  • Patricia González
  • Ramón Doallo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3980)

Abstract

The aim of this work is to improve load balance of the MPI parallel version of the STEM-II air quality model. Several dynamic data distributions are proposed and evaluated on different systems: homogeneous and dedicated, and heterogeneous and/or non-dedicated. Results prove that dynamic distribution strategies perform better than traditional static distributions. Although all the data distributions presented here have been developed to be used with the STEM–II air quality model, they are also very suitable for use in other parallel applications.

Keywords

Execution Time Load Balance Simulation Space Load Unbalance Balance Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • J. Carlos Mouriño
    • 1
  • María J. Martín
    • 2
  • Patricia González
    • 2
  • Ramón Doallo
    • 2
  1. 1.CESGA Supercomputing Center. Santiago de CompostelaSpain
  2. 2.Computer Architecture Group. Department of Electronics and SystemsUniversity of A CoruñaSpain

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