Beschreibung
This work presents an elaborate preconditioning scheme for Krylov subspace methods which has been developed to improve the performance and reduce the execution time of parallel node-based nite-element solvers for three-dimensional electromagnetic numerical modelling in exploration geophysics. This new preconditioner is based on algebraic multigrid that uses dierent basic relaxation methods, such as Jacobi, symmetric successive over-relaxation and Gauss-Seidel, as smoothers and the wave-front algorithm to create groups, which are used for coarse-level generation. The preconditioner has been implemented and tested within a parallel nodal nite-element solver for three-dimensional forward problems in electromagnetic induction geophysics. A series of experiments for several models with dierent conductivity structures and characteristics have been performed to test the performance of the algebraic multigrid preconditioning technique when combined with biconjugate gradient stabilised method. The results have shown that the preconditioner greatly improves the convergence of the iterative solver and reduces the total execution time of the forward-problem code.
Autorenporträt
After receiving Bachelor and Master Degree in Electrical and Computer Engineering at the University of Novi Sad, Serbia, I have obtained Master and PhD in Computer Architecture at Universitat Politècnica de Catalunya, Spain. Since then, I have been working in industry on the development of different scientific software applications around Europe.
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