High Performance Air Pollution Simulation Using OpenMP

被引：0
|
作者：
María J. Martín
Marta Parada
Ramón Doallo
机构：
来源：
The Journal of Supercomputing | 2004年 / 28卷
关键词：
air pollution modeling; STEM-II; shared-memory systems; OpenMP;
D O I：
暂无
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学科分类号：
摘要：
The aim of this work is to provide a high performance air quality simulation using the sulphur transport Eulerian model 2 (STEM-II) program. First of all we optimize the sequential program with the aim of increasing data locality. Then, the optimized program is parallelized using OpenMP shared-memory directives. Experimental results on a 32-processor SGI Origin 2000 show that the parallel program achieves important reductions in the execution times.
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页码：311 / 321
页数：10
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