Parallel and Distributed Processing Support for a Geospatial Data Visualization DSL
Endrius Ewald, Adriano Vogel, Cassiano Rista, Dalvan Griebler, Isabel Harb Manssour, Luiz Gustavo · 2018
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.