Dr Anne Reinarz's Outputs (3)

On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations (2020)
Journal Article
Dumbser, M., Fambri, F., Gaburro, E., & Reinarz, A. (2020). On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations. Journal of Computational Physics, 404, Article 109088. https://doi.org/10.1016/j.jcp.2019.109088

In this paper we propose an extension of the generalized Lagrangian multiplier method (GLM) of Munz et al. [52], [30], which was originally conceived for the numerical solution of the Maxwell and MHD equations with divergence-type involutions, to the... Read More about On GLM curl cleaning for a first order reduction of the CCZ4 formulation of the Einstein field equations.

ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems (2020)
Journal Article
Reinarz, A., Charrier, D. E., Bader, M., Bovard, L., Dumbser, M., Duru, K., …Weinzierl, T. (2020). ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems. Computer Physics Communications, 254, Article 107251. https://doi.org/10.1016/j.cpc.2020.107251

ExaHyPE (“An Exascale Hyperbolic PDE Engine”) is a software engine for solving systems of first-order hyperbolic partial differential equations (PDEs). Hyperbolic PDEs are typically derived from the conservation laws of physics and are useful in a wi... Read More about ExaHyPE: An engine for parallel dynamically adaptive simulations of wave problems.

Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes (2020)
Presentation / Conference Contribution
Gallard, J., Rannabauer, L., Reinarz, A., & Bader, M. (2020). Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes.