Computational complexity of weighted splitting schemes on parallel computers

被引:3
|
作者
Csomos, P. [1 ]
Dimov, I. [2 ,3 ]
Farago, I. [1 ]
Havasi, A. [4 ]
Ostromsky, T. Z. [2 ]
机构
[1] Eotvos Lorand Univ, Dept Appl Anal, H-1117 Budapest, Hungary
[2] Bulgarian Acad Sci, IPP, Acad G Bonchev St 25 A, BU-1113 Sofia, Bulgaria
[3] Univ Reading, ACET, Reading RG6 6AH, Berks, England
[4] Eotvos Lorand Univ, Dept Meteorol, H-1117 Budapest, Hungary
关键词
Operator splitting; Computational complexity; Air pollution modeling; Distributed memory; Shared memory;
D O I
10.1080/17445760601111517
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In models of complicated physical-chemical processes operator splitting is very often applied in order to achieve sufficient accuracy as well as efficiency of the numerical solution. The recently rediscovered weighted splitting schemes have the great advantage of being parallelizable on operator level, which allows us to reduce the computational time if parallel computers are used. In this paper, the computational times needed for the weighted splitting methods are studied in comparison with the sequential (S) splitting and the Marchuk-Strang (MSt) splitting and are illustrated by numerical experiments performed by use of simplified versions of the Danish Eulerian model (DEM).
引用
收藏
页码:137 / 147
页数:11
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