Articles | Volume 15, issue 14
Geosci. Model Dev., 15, 5757–5786, 2022
Geosci. Model Dev., 15, 5757–5786, 2022
Development and technical paper
25 Jul 2022
Development and technical paper | 25 Jul 2022

Assessing the robustness and scalability of the accelerated pseudo-transient method

Ludovic Räss et al.

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Cited articles

Alamatian, J.: A new formulation for fictitious mass of the Dynamic Relaxation method with kinetic damping, Comput. Struct., 90–91, 42–54,, 2012. a
Alkhimenkov, Y., Khakimova, L., and Podladchikov, Y.: Stability of discrete schemes of Biot's poroelastic equations, Geophys. J. Int., 225, 354–377,, 2021a. a, b
Alkhimenkov, Y., Räss, L., Khakimova, L., Quintal, B., and Podladchikov, Y.: Resolving Wave Propagation in Anisotropic Poroelastic Media Using Graphical Processing Units (GPUs), J. Geophys. Res.-Sol. Ea., 126, 7,, 2021b. a
Bakhvalov, N. S.: On the convergence of a relaxation method with natural constraints on the elliptic operator, USSR Comp. Math. Math.+, 6, 101–135,, 1966. a
Barnes, M. R.: Form Finding and Analysis of Tension Structures by Dynamic Relaxation, International Journal of Space Structures, 14, 89–104,, 1999. a
Short summary
Continuum mechanics-based modelling of physical processes at large scale requires huge computational resources provided by massively parallel hardware such as graphical processing units. We present a suite of numerical algorithms, implemented using the Julia language, that efficiently leverages the parallelism. We demonstrate that our implementation is efficient, scalable and robust and showcase applications to various geophysical problems.