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.
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