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Solution of the three-dimensional Helmholtz equation using ... - cerfacs

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Motivations<br />

Wave propagation modelling<br />

<strong>Solution</strong> method components: Iterative method and multigrid<br />

<strong>Solution</strong> strategy<br />

Numerical experiments<br />

Perspectives and conclusions<br />

State <strong>of</strong> <strong>the</strong> art<br />

State <strong>of</strong> <strong>the</strong> art<br />

Our approach<br />

Sparse multifrontal direct methods:<br />

• Very robust but too greedy in memory for large-scale problems, limit<br />

size: 409 × 109 × 102 (192 procs) [Operto et al., 2004].<br />

Multigrid methods:<br />

Smoothing difficulty: standard smoo<strong>the</strong>rs unstable for indefinite<br />

problems<br />

Coarse grid correction difficulty: coarse grids approximations <strong>of</strong><br />

<strong>the</strong> discrete <strong>Helmholtz</strong> operator are poor.<br />

Multigrid method on <strong>the</strong> original <strong>Helmholtz</strong> problem [Elman, 2001].<br />

• use <strong>of</strong> Krylov methods as smoo<strong>the</strong>r.<br />

• use <strong>of</strong> a large coarse grid and multigrid as a preconditioner.<br />

Geometric multigrid preconditioner on a complex shifted <strong>Helmholtz</strong><br />

operator [Riyanti et al 2007], limit size: 517 × 293 × 326.<br />

• Standard smoo<strong>the</strong>rs are effective thanks to <strong>the</strong> shift.<br />

• h-ellipticity is preserved on all <strong>the</strong> grid hierarchy.<br />

16/27 Multigrid for geophysics applications

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