Improving the scalability of an operational scientific application in a large multi-core cluster

Alvaro L. Fazenda, Eduardo Rocha Rodrigues, Simone S. Tomita, Jairo Panetta, Celso L. Mendes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, High-Performance Computers use nodes with a tendency of an increasing number of cores per chip. In this scenario, enhancing scalability of an existing application requires a comprehensive approach, since system parameters such as memory per core and I/O speeds increase slower with time than cores per chip. This work describes the enhancements incorporated in BRAMS - a regional weather forecasting model - to reach a target execution time using 9,600 cores. We show that some common coding techniques may prevent scalability and that I/O and memory are constraints as core counts increase.

Original languageEnglish (US)
Title of host publicationProceedings - 13th Symposium on Computing Systems, WSCAD-SSC 2012
Pages126-132
Number of pages7
DOIs
StatePublished - 2012
Event13th Symposium on Computing Systems, WSCAD-SSC 2012 - Petropolis, RJ, Brazil
Duration: Oct 17 2012Oct 19 2012

Publication series

NameProceedings - 13th Symposium on Computing Systems, WSCAD-SSC 2012

Other

Other13th Symposium on Computing Systems, WSCAD-SSC 2012
CountryBrazil
CityPetropolis, RJ
Period10/17/1210/19/12

Keywords

  • Large multi-core cluster
  • Numerical Weather Forecast Model
  • Parallel IO
  • Scalability

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Fazenda, A. L., Rodrigues, E. R., Tomita, S. S., Panetta, J., & Mendes, C. L. (2012). Improving the scalability of an operational scientific application in a large multi-core cluster. In Proceedings - 13th Symposium on Computing Systems, WSCAD-SSC 2012 (pp. 126-132). [6391773] (Proceedings - 13th Symposium on Computing Systems, WSCAD-SSC 2012). https://doi.org/10.1109/WSCAD-SSC.2012.29