Dynamic load-balancing for the STEM-II air quality model

Authors:
J. Carlos Mouriño;María J. Martín;Patricia González;Ramón Doallo
Affiliations:
CESGA Supercomputing Center. Santiago de Compostela, Spain;Computer Architecture Group. Department of Electronics and Systems, University of A Coruña, Spain;Computer Architecture Group. Department of Electronics and Systems, University of A Coruña, Spain;Computer Architecture Group. Department of Electronics and Systems, University of A Coruña, Spain
Venue:
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Year:
2006

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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.