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

被引:0
|
作者
Mouriño, JC [1 ]
Martín, MJ
González, P
Doallo, R
机构
[1] CESGA Supercomputing Ctr, Santiago De Compostela, Spain
[2] Univ A Coruna, Comp Architecture Grp, Dept Elect & Syst, La Coruna, Spain
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:701 / 710
页数:10
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