Numerical weather model brams evaluation on many-core architectures: a micro and macro vision

Numerical weather model brams evaluation on many-core architectures: a micro and macro vision

Author de Almeida, Eugenio Sper Google Scholar
Bauer, Michael Anthony Google Scholar
Fazenda, Alvaro Luiz Autor UNIFESP Google Scholar
Abstract This paper investigates the performance of a weather forecasting application (Brazilian developments on the regional atmospheric modelling system - BRAMS) on high performance computing (HPC) clusters with a multi-core architecture. We simulated atmosphere conditions over South America for 24 hours ahead using the BRAMS, aiming to understand the impact of different architectural configurations on performance and scalability. Our analyses consider execution in intra-node and inter-node configurations of a cluster with 24 cores per node. Results reveal differences in the BRAMS performance caused by interconnection. The BRAMS may get better performance by using a newer version of MPI library implementation (one-copy schema) and improving spatial resolution.
Keywords Performance
Regional Atmospheric Modelling System
Brams
Numerical Weather Prediction Model
High Performance Computing
Hpc
Meteorology
Parallel Processing
Multi-Core ArchitecturePerformance
Prediction
Systems
Language English
Sponsor FAPESP [2010/05823-7]
Grant number FAPESP: 2010/05823-7
Date 2016
Published in International Journal Of Computational Science And Engineering. Geneva, v. 12, n. 4, p. 330-340, 2016.
ISSN 1742-7185 (Sherpa/Romeo, impact factor)
Publisher Karger
Extent 330-340
Origin https://doi.org/10.1504/IJCSE.2016.076940
Access rights Closed access
Type Article
Web of Science ID WOS:000392836100007
URI http://repositorio.unifesp.br/handle/11600/49272

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