Name
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. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/j.parco.2003.05.018 | Parallel Computing |
Keywords | Field | DocType |
shared-memory systems,high performance air pollution,mpi library,sgi o2000 multiproccessor,openmp directive,memory machine,stem-ii,shared memory system,power plant environment,performance result,fujitsu ap3000 multicomputer,mpi,cpu time,distributed memory systems,air pollution model,sequential program,openmp,high performance air quality,air quality,power plant,air pollution,distributed memory | SPMD,Locality,Central processing unit,Uniform memory access,Shared memory,Computer science,Parallel computing,Distributed memory,Air quality index,Power station | Journal |
Volume | Issue | ISSN |
29 | 11-12 | Parallel Computing |
Citations | PageRank | References |
16 | 1.22 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| María J. Martín | 1 | 174 | 27.68 |
| David E. Singh | 2 | 191 | 23.13 |
| J. C. Mouriño | 3 | 66 | 7.14 |
| Francisco F. Rivera | 4 | 177 | 26.17 |
| Ramón Doallo | 5 | 429 | 41.71 |
| Javier D. Bruguera | 6 | 487 | 59.23 |