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of 130
pro vyhledávání: '"Ramet, Pierre"'
Efficient Parallel Solution of the 3D Stationary Boltzmann Transport Equation for Diffusive Problems
This paper presents an efficient parallel method for the deterministic solution of the 3D stationary Boltzmann transport equation applied to diffusive problems such as nuclear core criticality computations. Based on standard MultiGroup-Sn-DD discreti
Externí odkaz:
http://arxiv.org/abs/1710.01536
The ongoing hardware evolution exhibits an escalation in the number, as well as in the heterogeneity, of computing resources. The pressure to maintain reasonable levels of performance and portability forces application developers to leave the traditi
Externí odkaz:
http://arxiv.org/abs/1405.2636
In this paper we present deflation and augmentation techniques that have been designed to accelerate the convergence of Krylov subspace methods for the solution of linear systems of equations. We review numerical approaches both for linear systems wi
Externí odkaz:
http://arxiv.org/abs/1303.5692
Efficient parallel solution of the 3D stationary Boltzmann transport equation for diffusive problems
Publikováno v:
In Journal of Computational Physics 1 July 2019 388:335-349
Autor:
Latu, Guillaume, Becoulet, Marina, Dif-Pradalier, Guilhem, Grandgirard, Virginie, Hoelzl, Matthias, Huysmans, G., Lacoste, Xavier, Nardon, Eric, Orain, Francois, Passeron, Chantal, Ramet, Pierre, Ratnani, Ahmed
Non Regression Testing (NRT) aims to check if software modifications result in undesired behaviour. Suppose the behaviour of the application previously known, this kind of test makes it possible to identify an eventual regression, a bug. Improving an
Externí odkaz:
http://arxiv.org/abs/1211.3823
Publikováno v:
21st SIAM Copper Mountain Conference on Multigrid Method
21st SIAM Copper Mountain Conference on Multigrid Method, Apr 2023, Copper Mountain, CO, United States
21st SIAM Copper Mountain Conference on Multigrid Method, Apr 2023, Copper Mountain, CO, United States
International audience; It is well known that multigrid methods are very competitive in solving a wide range of SPD problems. However achieving such performance for non-SPD matrices remains an open problem. In particular, two main issues may arise wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::29a805b25caacf0b34feb81137a280f1
https://hal.science/hal-04046622/document
https://hal.science/hal-04046622/document
Publikováno v:
In Annals of Nuclear Energy August 2015 82:179-187
Publikováno v:
CSE 2023-SIAM Conference on Computational Science and Engineering
CSE 2023-SIAM Conference on Computational Science and Engineering, Feb 2023, Amsterdam, Netherlands
CSE 2023-SIAM Conference on Computational Science and Engineering, Feb 2023, Amsterdam, Netherlands
International audience; It is well known that multigrid methods are very competitive in solving a wide range of SPD problems. However achieving such performance for non-SPD matrices remains an open problem. In particular, two main issues may arise wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6376fd0197f4fcef3f65e3cf34df1d0c
https://hal.science/hal-04046630
https://hal.science/hal-04046630
Publikováno v:
[Research Report] RR-9476, Inria Bordeaux-Sud Ouest. 2022, pp.43
Solving linear equations of type $Ax=b$ for large sparse systems frequently emerges in science/engineering applications, which is the main bottleneck. In spite that the direct methods are costly in time and memory consumption, they are still the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c22b109dedaf4cda5ec64ec8b14d70b9
https://inria.hal.science/hal-03718312
https://inria.hal.science/hal-03718312
Publikováno v:
PP 2020-SIAM Conference on Parallel Processing for Scientific Computing
PP 2020-SIAM Conference on Parallel Processing for Scientific Computing, Feb 2020, Seattle, United States
PP 2020-SIAM Conference on Parallel Processing for Scientific Computing, Feb 2020, Seattle, United States
International audience; Recent works in sparse direct solvers have multiplied the solutions to exploit data-sparsity additionally to sparse structure in these solvers. Among these solution, the PaStiX solver exploits block low-rank structures to redu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7121ec50533601426ffb549b6c9ee44a
https://hal.inria.fr/hal-03140189
https://hal.inria.fr/hal-03140189