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Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
Reinarz, Anne; Charrier, Dominic; Bader, Michael; Bovard, Luke; Dumbser, Michael; Duru, Kenneth; Fambri, Francesco; Gabriel, Alice-Agnes; Gallard, Jean-Matthieu; Koeppel, Sven Köppel; Krenz, Lukas; Rannabauer, Leonhard; Rezzolla, Luciano; Samfass, Philipp; Tavelli, Maurizio; Weinzierl, Tobias
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 de- rived 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 dy- namically adapt the ac...     »
Horizon 2020:
supported by Horizon 2020 project nr. 671698 ExaHyPE
Journal title:
Computer Physics Communications
Year:
2020
Journal volume:
254
Year / month:
2020-03
Quarter:
3. Quartal
Month:
Sep
Pages contribution:
107251
Language:
en
Fulltext / DOI:
doi:10.1016/j.cpc.2020.107251
WWW:
https://doi.org/10.1016/j.cpc.2020.107251
Status:
Verlagsversion / published
TUM Institution:
Department of Informatics
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