Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Paul Mycek"'
Publikováno v:
Numerical Linear Algebra with Applications. 30
Autor:
Mayeul Destouches, Paul Mycek, Jérémy Briant, Selime Gürol, Anthony Weaver, Serge Gratton, Ehouarn Simon
In ensemble variational (EnVar) data assimilation systems, background error covariances are sampled from an ensemble of forecasts evolving with time. One possible way of generating this ensemble is by running an Ensemble of Data Assimilations (EDA) t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc4052d448e034424b3fddbce56e9a3c
https://doi.org/10.5194/egusphere-egu22-336
https://doi.org/10.5194/egusphere-egu22-336
Autor:
Emmanuel Agullo, Mirco Altenbernd, Hartwig Anzt, Leonardo Bautista-Gomez, Tommaso Benacchio, Luca Bonaventura, Hans-Joachim Bungartz, Sanjay Chatterjee, Florina M Ciorba, Nathan DeBardeleben, Daniel Drzisga, Sebastian Eibl, Christian Engelmann, Wilfried N Gansterer, Luc Giraud, Dominik Göddeke, Marco Heisig, Fabienne Jézéquel, Nils Kohl, Xiaoye Sherry Li, Romain Lion, Miriam Mehl, Paul Mycek, Michael Obersteiner, Enrique S Quintana-Ortí, Francesco Rizzi, Ulrich Rüde, Martin Schulz, Fred Fung, Robert Speck, Linda Stals, Keita Teranishi, Samuel Thibault, Dominik Thönnes, Andreas Wagner, Barbara Wohlmuth
Publikováno v:
International Journal of High Performance Computing Applications
International Journal of High Performance Computing Applications, SAGE Publications, 2021
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The international journal of high performance computing applications 36(2), 251-285 (2022). doi:10.1177/10943420211055188
International Journal of High Performance Computing Applications, 2021, pp.10943420211055188. ⟨10.1177/10943420211055188⟩
International Journal of High Performance Computing Applications, SAGE Publications, 2021
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The international journal of high performance computing applications 36(2), 251-285 (2022). doi:10.1177/10943420211055188
International Journal of High Performance Computing Applications, 2021, pp.10943420211055188. ⟨10.1177/10943420211055188⟩
This work is based on the seminar titled ``Resiliency in Numerical Algorithm Design for Extreme Scale Simulations'' held March 1-6, 2020 at Schloss Dagstuhl, that was attended by all the authors. Naive versions of conventional resilience techniques w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b05b71a6a20ec124273ae24745504d60
https://hal.inria.fr/hal-03348787/file/2010.13342.pdf
https://hal.inria.fr/hal-03348787/file/2010.13342.pdf
We address the numerical solution of linear systems arising from the hybrid discretizations of second-order elliptic partial differential equations (PDEs). Such discretizations hinge on a hybrid set of degrees of freedom (DoFs), respectively defined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cec536e6601cee5d14543d27a111ff07
https://hal.archives-ouvertes.fr/hal-03272468/file/AMG_for_hybrid_methods.pdf
https://hal.archives-ouvertes.fr/hal-03272468/file/AMG_for_hybrid_methods.pdf
Autor:
Matthias De Lozzo, Paul Mycek
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2019, 7 (4), pp. 1323-1348. ⟨10.1137/18M1216389⟩
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2019, 7 (4), pp. 1323-1348. ⟨10.1137/18M1216389⟩
International audience; Crude and quasi Monte Carlo (MC) sampling techniques are common tools dedicated to estimating statistics (expectation, variance, covariance) of a random quantity of interest.We focus here on the uncertainty quantification fram
Autor:
Daniel Ruiz, Ulrich Rüde, Daniele Antonio Di Pietro, Paul Mycek, Pierre Matalon, Frank Hülsemann
Publikováno v:
International Journal for Numerical Methods in Engineering
International Journal for Numerical Methods in Engineering, Wiley, In press, 122 (22), pp.6576-6595. ⟨10.1002/nme.6803⟩
International Journal for Numerical Methods in Engineering, Wiley, In press, 122 (22), pp.6576-6595. ⟨10.1002/nme.6803⟩
International audience; The use of modern discretization technologies such as Hybrid High-Order (HHO) methods, coupled with appropriate linear solvers, allow for the robust and fast solution of Partial Differential Equations (PDEs). Although efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb9c590e76b47de5267ea82a77ee7079
https://hal.archives-ouvertes.fr/hal-03163476
https://hal.archives-ouvertes.fr/hal-03163476
Publikováno v:
Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications ISBN: 9783030805418
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::defdf74477e560bb120bac0ff656849a
https://doi.org/10.1007/978-3-030-80542-5_27
https://doi.org/10.1007/978-3-030-80542-5_27
Autor:
Daniele Antonio Di Pietro, Daniel Ruiz, Pierre Matalon, Paul Mycek, Ulrich Rüde, Frank Hülsemann
Publikováno v:
SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, 2021, pp.S839-S861. ⟨10.1137/20M1342471⟩
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, 2021, pp.S839-S861. ⟨10.1137/20M1342471⟩
International audience; We consider a second order elliptic PDE discretized by the Hybrid High-Order method, for which globally coupled unknowns are located at faces. To efficiently solve the resulting linear system, we propose a geometric multigrid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::880cb103354b392ceef0d30a5dd8f59e
https://hal.archives-ouvertes.fr/hal-02434411v2/document
https://hal.archives-ouvertes.fr/hal-02434411v2/document
Autor:
Khachik Sargsyan, Bert Debusschere, O. P. Le Maître, Francesco Rizzi, Omar M. Knio, Cosmin Safta, Karla Morris, Paul Mycek
Publikováno v:
Parallel Computing. 73:16-27
We discuss algorithm-based resilience to silent data corruptions (SDCs) in a task-based domain-decomposition preconditioner for partial differential equations (PDEs). The algorithm exploits a reformulation of the PDE as a sampling problem, followed b
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 381:113845
This paper aims at developing an efficient preconditioned iterative domain decomposition (DD) method for the sampling of linear stochastic elliptic equations . To this end, we consider a non-overlapping DD method resulting in a Symmetric Positive Def