Parallelization of the STEM-II Air Quality Model

  • Authors:

  • José Carlos Mouriño;David E. Singh;María J. Martín;J. M. Eiroa;Francisco F. Rivera;Ramon Doallo;Javier D. Bruguera

  • Affiliations:

  • -;-;-;-;-;-;-

  • Venue:
  • HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
  • Year:
  • 2001

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Abstract

STEM-II is an Eulerian numerical model to simulate the behavior of pollutant factors in the air. In this paper the computational requirements of the program in terms of memory storage and execution times are analyzed. The results of this analysis are conclusive as regards to the need of using parallel processing to achieve reasonable execution times. Then, the improvements achieved after the parallelization of the code on a distributed memory multiprocessor using the MPI standard message passing library are shown.