High performance air pollution modeling for a power plant environment

Authors:
María J. Martín;David E. Singh;J. Carlos Mouriño;Francisco F. Rivera;Ramón Doallo;Javier D. Bruguera
Affiliations:
Department of Electronics and Systems, University of A Coruña, Campus de Elviña s/n, E-15071 A Coruña, Spain;Department of Electronics and Computer Science, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain;Department of Electronics and Systems, University of A Coruña, Campus de Elviña s/n, E-15071 A Coruña, Spain;Department of Electronics and Computer Science, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain;Department of Electronics and Systems, University of A Coruña, Campus de Elviña s/n, E-15071 A Coruña, Spain;Department of Electronics and Computer Science, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain
Venue:
Parallel Computing - Special issue: Parallel and distributed scientific and engineering computing
Year:
2003

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Abstract

The aim of this work is to provide a high performance air quality simulation using the STEM-II (Sulphur Transport Eulerian Model 2) program, a large-scale pollution modeling application. First, we optimize the sequential program with the aim of increasing data locality. Then, we parallelized the program using OpenMP directives for shared memory systems, and the MPI library for distributed memory machines. Performance results are presented for a SGI O2000 multiproccessor, a Fujitsu AP3000 multicomputer and a Cluster of PCs. Experimental results show that the parallel versions of the code achieve important reductions in the CPU time needed by each simulation. This will allow us to obtain results with adequate speed and reliability for the industrial environment where it is intended to be applied.