Performance of a Parallel Finite Difference Atmospheric General Circulation Model

Xin Zhang; Bin Wang; Zhongzhen Ji

doi:10.1007/s00376-001-0031-3

Performance of a Parallel Finite Difference Atmospheric General Circulation Model

Xin Zhang
, Bin Wang
, Zhongzhen Ji

Computational Earth Sciences Group

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

A new version of the Institute of Atmospheric Physics (IAP) 9-Layer (9L) atmospheric general circulation model (AGCM) suitable for Massively Parallel Processor (MPP) has been developed. This paper presents the principles of the parallel code design and examines its performance on a variety of state-of-the-art parallel computers in China. Domain decomposition strategy is used to achieve parallelism that is implemented by Message Passing Interface (MPI). Only the one dimensional domain decomposition algorithm is shown to scale favorably as the number of processors is increased.

Original language	English
Pages (from-to)	1175-1184
Number of pages	10
Journal	Advances in Atmospheric Sciences
Volume	18
Issue number	6
DOIs	https://doi.org/10.1007/s00376-001-0031-3
State	Published - 2001

Keywords

Domain decomposition
IAP 9L AGCM
Parallel speedup and efficiency

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10.1007/s00376-001-0031-3

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abstract = "A new version of the Institute of Atmospheric Physics (IAP) 9-Layer (9L) atmospheric general circulation model (AGCM) suitable for Massively Parallel Processor (MPP) has been developed. This paper presents the principles of the parallel code design and examines its performance on a variety of state-of-the-art parallel computers in China. Domain decomposition strategy is used to achieve parallelism that is implemented by Message Passing Interface (MPI). Only the one dimensional domain decomposition algorithm is shown to scale favorably as the number of processors is increased.",

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AB - A new version of the Institute of Atmospheric Physics (IAP) 9-Layer (9L) atmospheric general circulation model (AGCM) suitable for Massively Parallel Processor (MPP) has been developed. This paper presents the principles of the parallel code design and examines its performance on a variety of state-of-the-art parallel computers in China. Domain decomposition strategy is used to achieve parallelism that is implemented by Message Passing Interface (MPI). Only the one dimensional domain decomposition algorithm is shown to scale favorably as the number of processors is increased.

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KW - Parallel speedup and efficiency

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ER -

Performance of a Parallel Finite Difference Atmospheric General Circulation Model

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Keywords

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