Dataparallel semi-Lagrangian numerical weather forecasting

Author

Wolters, Lex ; Cats, Gerard ; Gustafsson, Nils ; Wilhelmsson, Tomas

Author_Institution

Dept. of Comput. Sci., Leiden Univ., Netherlands

fYear

1995

fDate

6-9 Feb 1995

Firstpage

164

Lastpage

170

Abstract

Different implementations on a massively parallel computer system of a semi-Lagrangian method within the numerical weather forecast model HIRLAM are presented. In principle semi-Lagrangian methods on massively parallel architectures result in irregular communications, i.e., communications between arbitrary processors. It is shown that the fastest implementation increases the total execution time per time step with an acceptable amount in relation to the advantage of applying a semi-Lagrangian method

Keywords

astronomy computing; atmospheric techniques; parallel architectures; weather forecasting; HIRLAM; arbitrary processors; dataparallel semi-Lagrangian numerical weather forecasting; irregular communications; massively parallel architectures; massively parallel computer system; Atmospheric modeling; Economic forecasting; High performance computing; Meteorology; Navier-Stokes equations; Nonlinear equations; Power system modeling; Predictive models; Spatial resolution; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Massively Parallel Computation, 1995. Proceedings. Frontiers '95., Fifth Symposium on the

Conference_Location

McLean, VA

Print_ISBN

0-8186-6965-9

Type

conf

DOI

10.1109/FMPC.1995.380451

Filename

380451