Aaron Saw
Abstract 🔗The goal of this project is to introduce parallelization to existing raster modules in GRASS GIS using OpenMP. This will allow users to take advantage of more cores in their hardware to speed up the computation time especially for large raster files with large computation cost. The key challenge of this project is to separate the parallelizable components from the sequential part of the modules without introducing too much overhead in terms of memory, disk or computation resources.