DocumentCode
531664
Title
Jacobi and Gauss-Seidel preconditioned complex conjugate gradient method with GPU acceleration for finite element method
Author
Dziekonski, Adam ; Lamecki, Adam ; Mrozowski, Michal
Author_Institution
Dept. of Microwave & Antenna Eng., Gdansk Univ. of Technol., Gdansk, Poland
fYear
2010
fDate
28-30 Sept. 2010
Firstpage
1305
Lastpage
1308
Abstract
In this paper two implementations of iterative solvers for solving complex symmetric and sparse systems resulting from finite element method applied to wave equation are discussed. The problem under investigation is a dielectric resonator antenna (DRA) discretized by FEM with vector elements of the second order (LT/QN). The solvers use the preconditioned conjugate gradient (pcg) method implemented on Graphics Processing Unit (GPU) along with two preconditioning techniques. Some of the proposed GPU implementations show remarkable speedup comparing to CPU-based implementation. Convergence of GPU and CPU implementations issue is also discussed.
Keywords
computer graphic equipment; dielectric resonator antennas; finite element analysis; gradient methods; GPU acceleration; Gauss-Seidel preconditioned complex conjugate gradient method; Jacobi preconditioned complex conjugate gradient method; complex symmetric systems; dielectric resonator antenna; finite element method; graphics processing unit; iterative solvers; sparse systems; wave equation;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Conference (EuMC), 2010 European
Conference_Location
Paris
Print_ISBN
978-1-4244-7232-1
Type
conf
Filename
5616643
Link To Document