@InProceedings{OsthoffSPGMNDL:2010:I/PeEv,
               author = "Osthoff, C and Schepke, C. and Panetta, J. and Grunmann, P. and 
                         Maillard, N. and Navaux, P. and Dias, P. L. S and Lopes, P. P.",
          affiliation = "a Laborat{\'o}rio Nacional de Computa{\c{c}}{\~a}o 
                         Cient{\'{\i}}fica (LNCC), Caixa Postal 25651 - 075, 
                         Petr{\'o}polis - RJ, Brazil and {b Instituto de Infor\ḿ} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and 
                         a Laborat{\'o}rio Nacional de Computa{\c{c}}{\~a}o 
                         Cient{\'{\i}}fica (LNCC), Caixa Postal 25651 - 075, 
                         Petr{\'o}polis - RJ, Brazil and {b Instituto de Infor\ḿ} 
                         and atica, Universidade Federal do Rio Grande do sul (UFRGS), 
                         Caixa Postal 15.064 - 91.501-970, Porto Alegre - RS, Brazil",
                title = "I/O performance evaluation on multicore clusters with atmospheric 
                         model environment",
            booktitle = "Proceedings...",
                 year = "2010",
                pages = "49--54",
         organization = "International Symposium on Computer Architecture and High 
                         Performance Computing Workshops, 22. (SBAC-PADW); Workshop on 
                         Applications for Multi and Many Core Architectures, 1 (WAMMCA).",
             keywords = "Atmosphere models, Atmospheric model, Climate simulation, I/O 
                         bandwidth, I/O operations, I/O performance, Large datasets, 
                         Multi-core cluster, Multi-core systems, Parallel file system, 
                         Scientific applications Engineering controlled terms: Climate 
                         models, Computer simulation, File organization, Scalability.",
             abstract = "This work evaluates the I/O performance in a multicore cluster 
                         environment for an atmosphere model for weather and climate 
                         simulations. It contains large data sets for I/O in scientific 
                         applications. The analysis demonstrates that the scalability of 
                         the system gets worse as we increase the number of cores per 
                         machine, with greater impact on output operations. We also 
                         demonstrate poor capacity of the multicore system for providing 
                         high aggregate I/O bandwidth and that the scalability is not 
                         improved when I/O operations are running trough a parallel file 
                         system neither running on local disk.",
  conference-location = "Petropolis",
      conference-year = "27 - 30 Oct. 2010",
                  doi = "10.1109/SBAC-PADW.2010.15",
                  url = "http://dx.doi.org/10.1109/SBAC-PADW.2010.15",
                 isbn = "978-076954276-8",
             language = "en",
         organisation = "FAPERJ, Cons. Nac. Desenvolv. Cient Tecnol. (CNPq), IBM, CAPES, 
                         Ministerio da Ciencia e Tecnologia",
           targetfile = "osthof.pdf",
               volume = "Article number 5644923",
        urlaccessdate = "20 maio 2024"
}