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

Author(s)

de Almeida, Eugenio Sper ; Bauer, Michael Anthony ; Fazenda, Alvaro Luiz

• Document type: Journal article
• Source: International Journal of Computational Science and Engineering; v. 12, n. 4, p. 330-340, 2016.
• Web of Science Citations: 2

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. (AU)

• FAPESP's process: 10/05823-7 - Study and development of grid computing technology with potential application in numerical weather forecasts
• Grantee: Eugênio Sper de Almeida
• Support Opportunities: Scholarships abroad - Research