Details
| Original language | English |
|---|---|
| Pages (from-to) | 363-372 |
| Number of pages | 10 |
| Journal | Meteorologische Zeitschrift |
| Volume | 10 |
| Issue number | 5 |
| Publication status | Published - Oct 2001 |
Abstract
An existing code of a large-eddy simulation (LES) model for the study of turbulent processes in the atmospheric and oceanic boundary layer has been completely recoded for use on massively parallel systems with distributed memory. Parallelization is achieved by two-dimensional domain decomposition and communication is realized by the message passing interface (MPI). Periodic boundary conditions, which are used in both horizontal directions, helped to minimize the parallelization effort. The performance of the new Parallelized LES Model (PALM) is excellent on SGI/Cray-T3E systems and an almost linear speed-up is achieved up to very large numbers of processors. Parallelization strategy and model performance is discussed and validation experiments as well as future applications are presented.
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Atmospheric Science
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In: Meteorologische Zeitschrift, Vol. 10, No. 5, 10.2001, p. 363-372.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - PALM
T2 - A large-eddy simulation model performing on massively parallel computers
AU - Raasch, Siegfried
AU - Schröter, Michael
N1 - Funding Information: The authors would like to thank Klaus KETELSEN (SGI/Cray, Germany) and Wolfgang BAUMANN (Konrad-Zuse-Zentrum f ̈ur Informationstechnik (ZIB) in Berlin, Germany) for their technical support, as well as Ulrich SCHUMANN for his constructive com- ments on an earlier version of the manuscript. All runs mentioned above were performed on the SGI/Cray- T3E of the John von Neumann Institute for Comput- ing (NIC) in J ̈ulich, Germany. Most of the test runs during the period of development of PALM were per- formed on the SGI/Cray-T3Es of the ZIB and the Re- gionales Rechenzentrum f ̈ur Niedersachsen (RRZN) in Hanover, Germany. Parts of this research were supported by the Deutsche Forschungsgemeinschaft under Grant Ra 617/3-1.
PY - 2001/10
Y1 - 2001/10
N2 - An existing code of a large-eddy simulation (LES) model for the study of turbulent processes in the atmospheric and oceanic boundary layer has been completely recoded for use on massively parallel systems with distributed memory. Parallelization is achieved by two-dimensional domain decomposition and communication is realized by the message passing interface (MPI). Periodic boundary conditions, which are used in both horizontal directions, helped to minimize the parallelization effort. The performance of the new Parallelized LES Model (PALM) is excellent on SGI/Cray-T3E systems and an almost linear speed-up is achieved up to very large numbers of processors. Parallelization strategy and model performance is discussed and validation experiments as well as future applications are presented.
AB - An existing code of a large-eddy simulation (LES) model for the study of turbulent processes in the atmospheric and oceanic boundary layer has been completely recoded for use on massively parallel systems with distributed memory. Parallelization is achieved by two-dimensional domain decomposition and communication is realized by the message passing interface (MPI). Periodic boundary conditions, which are used in both horizontal directions, helped to minimize the parallelization effort. The performance of the new Parallelized LES Model (PALM) is excellent on SGI/Cray-T3E systems and an almost linear speed-up is achieved up to very large numbers of processors. Parallelization strategy and model performance is discussed and validation experiments as well as future applications are presented.
UR - http://www.scopus.com/inward/record.url?scp=0034773749&partnerID=8YFLogxK
U2 - 10.1127/0941-2948/2001/0010-0363
DO - 10.1127/0941-2948/2001/0010-0363
M3 - Article
AN - SCOPUS:0034773749
VL - 10
SP - 363
EP - 372
JO - Meteorologische Zeitschrift
JF - Meteorologische Zeitschrift
SN - 0941-2948
IS - 5
ER -