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 :
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