Title :
Implementation of selected numerical algorithms for solving sparse matrixes using CUDA technology
Author :
Zimon, J. ; Zoworka, M.
Author_Institution :
Dept. of Ind. Electr. Eng., Opole Univ. of Technol., Opole, Poland
Abstract :
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.
Keywords :
finite element analysis; graphics processing units; mathematics computing; parallel architectures; sparse matrices; CUDA technology; FEMM application; GPU_FEM application; NVIDIA CUDA device; finite element method; hardware configuration; numerical algorithm; sparse matrix; Equations; Finite element analysis; Graphics processing units; Jacobian matrices; Libraries; Mathematical model; Sparse matrices; Finite Element Method; NVIDIA CUDA technology; Numerical calculations; multithread programming; sparse matrixes;
Conference_Titel :
Electrodynamic and Mechatronic System (SELM), 2013 International Symposium on
Conference_Location :
Opole-Zawiercie
Print_ISBN :
978-1-4673-5588-9
DOI :
10.1109/SELM.2013.6562988
