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@Article{AlmeidaBaueFaze:2016:MiMaVi,
               author = "Almeida, Eug{\^e}nio Sper de and Bauer, Michael Anthony and 
                         Fazenda, Alvaro Luiz",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Western 
                         University} and {Universidade Federal de S{\~a}o Paulo 
                         (UNIFESP)}",
                title = "Numerical weather model BRAMS evaluation on many-core 
                         architectures: a micro and macro vision",
              journal = "International Journal of Computational Science and Engineering",
                 year = "2016",
               volume = "12",
               number = "4",
                pages = "330--340",
             keywords = "performance, regional atmospheric modelling system, BRAMS, 
                         numerical weather prediction model, high performance computing, 
                         HPC, meteorology, parallel processing, multicore architecture.",
             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.",
                  doi = "10.1504/ijcse.2016.076940",
                  url = "http://dx.doi.org/10.1504/ijcse.2016.076940",
                 issn = "1742-7193",
                label = "lattes: 0676191681641372 1 AlmeidaBaueFaze:2016:MiMaVi",
             language = "en",
           targetfile = "almeida_numerical.pdf",
        urlaccessdate = "04 dez. 2020"
}


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