Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL

  • Endrius Ewald PUCRS
  • Adriano Vogel PUCRS
  • Cassiano Rista PUCRS
  • Dalvan Griebler PUCRS
  • Isabel Manssour PUCRS
  • Luiz Gustavo Fernandes PUCRS

Abstract

The amount of data generated worldwide related to geolocalization has exponentially increased. However, the fast processing of this amount of data is a challenge from the programming perspective, and many available solutions require learning a variety of tools and programming languages. This paper introduces the support for parallel and distributed processing in a DSL for Geospatial Data Visualization to speed up the data pre-processing phase. The results have shown the MPI version with dynamic data distribution performing better under medium and large data set files, while MPI-I/O version achieved the best performance with small data set files.
Published
2018-10-01
How to Cite
EWALD, Endrius et al. Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL. Proceedings of the Symposium on High Performance Computing Systems (SSCAD), [S.l.], p. 221-228, oct. 2018. ISSN 0000-0000. Available at: <https://sol.sbc.org.br/index.php/sscad/article/view/15665>. Date accessed: 17 may 2024.
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2018: Proceedings of the 19th Symposium on High-Performance Computing Systems
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Full Papers