An Efficient ADER-DG Local Time Stepping Scheme for 3D HPC Simulation of Seismic Waves in Poroelastic Media
Sebastian Wolf, Martin Galis, Carsten Uphoff, Alice-Agnes, Gabriel, Peter Moczo, David Gregor, Michael Bader

TL;DR
This paper introduces an efficient ADER-DG local time stepping scheme for 3D seismic wave simulations in poroelastic media, significantly reducing computational costs and enabling high-accuracy, large-scale HPC simulations.
Contribution
It presents a novel block-wise back-substitution algorithm for stiff source term integration in ADER-DG, improving efficiency and scalability for seismic wave modeling in poroelastic media.
Findings
Reduces floating-point operations by up to 25 times compared to LU decomposition.
Achieves high-order convergence and verifies accuracy with complex boundary conditions.
Reduces simulation time by a factor of 6 to 10 using local time stepping.
Abstract
Many applications from geosciences require simulations of seismic waves in porous media. Biot's theory of poroelasticity describes the coupling between solid and fluid phases and introduces a stiff source term, thereby increasing computational cost and motivating efficient methods utilising High-Performance Computing. We present a novel realisation of the discontinuous Galerkin scheme with Arbitrary DERivative time stepping (ADER-DG) that copes with stiff source terms. To integrate this source term with a reasonable time step size, we use an element-local space-time predictor, which needs to solve medium-sized linear systems - with 1000 to 10000 unknowns - in each element update (i.e., billions of times). We present a novel block-wise back-substitution algorithm for solving these systems efficiently. In comparison to LU decomposition, we reduce the number of floating-point operations…
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Taxonomy
TopicsAdvanced Numerical Methods in Computational Mathematics · Seismic Imaging and Inversion Techniques · Numerical methods for differential equations
