Implementation of selected numerical algorithms for solving sparse matrixes using CUDA technology
Jan Zimon, M. Zoworka · 2013
This thesis presents an implementation of Finite Element Method (FEM), with focus on sparse matrix solving methods using NVIDIA CUDA devices. Development of an application GPU_FEM that implements Finite Element Method has been presented. The calculation results and calculation times have been compared for different hardware configuration as well as for different algorithms. Presented tests show up to 70 times faster sparse matrix solving in comparison to FEMM application.