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pro vyhledávání: '"Lunet, Thibaut"'
We investigate parallel performance of parallel spectral deferred corrections, a numerical approach that provides small-scale parallelism for the numerical solution of initial value problems. The scheme is applied to the shallow water equation and us
Externí odkaz:
http://arxiv.org/abs/2403.20135
Parallel-across-the method time integration can provide small scale parallelism when solving initial value problems. Spectral deferred corrections (SDC) with a diagonal sweeper, which is closely related to iterated Runge-Kutta methods proposed by Van
Externí odkaz:
http://arxiv.org/abs/2403.18641
Spectral Deferred Correction (SDC) is an iterative method for the numerical solution of ordinary differential equations. It works by refining the numerical solution for an initial value problem by approximately solving differential equations for the
Externí odkaz:
http://arxiv.org/abs/2403.13454
Autor:
Lunet, Thibaut
Cette thèse étudie l'application de méthodes de parallélisation en temps pour la simulation numérique directe des écoulements turbulents. Après une étude préliminaire, on choisit de se focaliser sur l'algorithme Parareal avec grossissement s
Externí odkaz:
http://www.theses.fr/2018ESAE0001/document
Publikováno v:
SIAM Journal on Scientific Computing; 2023, Vol. 45 Issue 5, pA2275-A2303, 29p
Publikováno v:
SIAM Conference on Computational Science and Engineering, SIAM CSE, Amsterdam, Netherlands, 2023-02-27-2023-03-03
SIAM Conference on Computational Science and Engineering, SIAM CSE, Amsterdam, Netherlands, 27 Feb 2023 - 3 Mar 2023
The complexity of the dynamics of most computational problems is not uniform throughout time. This means that fixed resolution s
The complexity of the dynamics of most computational problems is not uniform throughout time. This means that fixed resolution s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f8e93765341bbb16f533aa30044503c
https://juser.fz-juelich.de/record/1008611
https://juser.fz-juelich.de/record/1008611
Publikováno v:
Datacite
arXiv.org e-Print Archive
arXiv: 2203.16069v1 (2022)
arXiv.org e-Print Archive
arXiv: 2203.16069v1 (2022)
Parallel-in-time integration has been the focus of intensive research efforts over the past two decades due to the advent of massively parallel computer architectures and the scaling limits of purely spatial parallelization. Various iterative paralle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03dae0f0722d71b5afeec105aee9ebd1
Autor:
Baumann, Thomas, Götschel, Sebastian, Lunet, Thibaut, Ruprecht, Daniel, Schöbel, Ruth, Speck, Robert
Publikováno v:
14th JLESC Workshop, Urbana, IL, USA, 2022-09-28-2022-09-30
11th Parallel-in-Time Workshop, Marseilles, France, 2022-07-11-2022-07-15
11th Parallel-in-Time Workshop, Marseilles, France, 2022-07-11-2022-07-15
Advancement in computational speed is nowadays gained by using more processing units rather than faster ones. Faults in the processing units caused by numerous sources including radiation and aging have been neglected in the past. However, the increa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::28fa09f6f5a347b428a5569808c47d21
https://juser.fz-juelich.de/record/911980
https://juser.fz-juelich.de/record/911980
Autor:
Lunet, Thibaut1, Lac, Christine2, Auguste, Franck3, Visentin, Florian4, Masson, Valéry2, Escobar, Juan4
Publikováno v:
Monthly Weather Review. Sep2017, Vol. 145 Issue 9, p3817-3838. 22p. 3 Color Photographs, 1 Diagram, 6 Charts, 10 Graphs.
Akademický článek
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