Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL
ResumoThe 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.
Palavras-chave: Data visualization, DSL, Visualization, Big Data, Distributed processing, Geospatial analysis, Distributed databases, Distributed Processing, Data Visualization, Domain Specific Language
EWALD, Endrius; VOGEL, Adriano; RISTA, Cassiano; GRIEBLER, Dalvan; MANSSOUR, Isabel; FERNANDES, Luiz Gustavo. Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL. In: SIMPÓSIO EM SISTEMAS COMPUTACIONAIS DE ALTO DESEMPENHO (WSCAD), 19. , 2018, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2018 . p. 221-228.