Numerical weather model BRAMS evaluation on many-core architectures: a micro and macro vision
by Eugênio Sper De Almeida; Michael Anthony Bauer; Alvaro Luiz Fazenda
International Journal of Computational Science and Engineering (IJCSE), Vol. 12, No. 4, 2016

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.

Online publication date: Wed, 08-Jun-2016

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