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ExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems

Reinarz, A., et al. (2019), ExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems, arXiv preprint, doi:arXiv:1905.07987, submitted.

Abstract
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 wide range of application areas. Applications powered by ExaHyPE can be run on a student's laptop, but are also able to exploit the thousands of processor cores of state-of-the-art supercomputers. The engine is able to dynamically adapt the accuracy of the simulation where needed through adaptive mesh refinement. Due to the robustness and shock capturing abilities of ExaHyPE's numerical methods, users of the engine can simulate linear and non-linear hyperbolic PDEs with very high accuracy. Users can tailor the engine to their particular PDE by specifying evolved quantities, fluxes, and source terms. A complete simulation code for a new hyperbolic PDE can often be realised within a few hours --- a task that, traditionally, can take weeks, months, often years for researchers starting from scratch. In this paper, we showcase ExaHyPE's workflow and capabilities through real-world scenarios from our two main application areas: seismology and astrophysics.
Further information
BibTeX
@article{id2473,
  author = {A. Reinarz and D.E. Charrier and M. Bader and L. Bovard and M. Dumbser and K. Duru and F. Fambri and A.-A. Gabriel and J.M. Gallard and S.  K{\"o}ppel and L. Krenz},
  journal = {arXiv preprint},
  note = {submitted},
  title = {{ExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems}},
  year = {2019},
  url = {https://arxiv.org/abs/1905.07987},
  doi = {arXiv:1905.07987},
}
EndNote
%0 Journal Article
%A Reinarz, A.
%A Charrier, D.E.
%A Bader, M.
%A Bovard, L.
%A Dumbser, M.
%A Duru, K.
%A Fambri, F.
%A Gabriel, A.-A.
%A Gallard, J.M.
%A Köppel, S. 
%A Krenz, L.
%D 2019
%J arXiv preprint
%T ExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems
%U https://arxiv.org/abs/1905.07987
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Printed 22. Feb 2020 11:25