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Algo-Coop Internal Meetings

The Algo-Coop team meetings are short UNFORMAL seminars of about 20 minutes, dedicated to the introduction of the work done or in progress by the Parallel Algo-Coop team members. They are useful for presenting work you did before arriving at CERFACS, for rehearsing before a conference, for sharing questions on current research with your colleagues…

Beginners are particularly welcome !

We remind you that these meetings are required to be english-spoken.

You can register at this mail address : yzel@cerfacs.fr

                                                                                                                                                                                                          

2021

  • Implementing block preconditioners for multiphysics problems in firedrake, Ana ORDONEZ
  • Fast Linear Solvers for Compatible Discrete Operator Schemes Arising in Incompressible CFD Simulations, Yongseok JANG
  • Latent Space Data Assimilation by using Deep Learning, Mathis PEYRON
  • Background error covariance matrix estimation from multifidelity ensembles, Jérémy BRIANT & Mayeul DESTOUCHES
  • Fast solvers for robust discretizations in computational fluid dynamics, Pierre MATALON (Thesis defense rehearsal)
  • Parallelisable preconditioners for saddle point weak-constraint 4D-Var, Jemima TABEART (University of Edinburgh)
  • Background error covariance matrix estimation from multifidelity ensembles, Jérémy BRIANT
  • Deep learning for species recognition to help protect bears and an embedded network, Elsa GULLAUD
  • Multilevel Monte Carlo (MLMC) methods, Rob Scheichl (U. Heidelberg)
  • Continuity equations and super-resolution microscopy for the reconstruction of a cell membrane potential, Alfio BORZI (U Wuerzburg)
  • Two recent developments in Multilevel Monte Carlo, Mike GILES (University of Oxford)
  • A multigrid-inspired approach for the Augmented Block Cimmino Distributed solver, Philippe LELEUX
  • Algebraic multigrid preconditioner for statically condensed systems arising from lowest order hybrid discretizations,Pierre MATALON
  • A block minimum residual norm subspace solver for sequences of multiple left and right-hand side linear systems, Yanfei XIANG
  • Accounting for hydrometeor variables in a variational ensemble data assimilation scheme applied to the weather prediction model AROME, Mayeul DESTOUCHES
  • Active learning for LSTM neural networks, Jérémy BRIANT

 




 Past seminars 

 

NEWS

Aeronautics & Space Awards: Carlos Pérez Arroyo, Jérôme Dombard and Gabriel Staffelbach are awarded the Vermeil medal

Brigitte Yzel |  2 December 2022

  Formal Session 2022 of the Air and Space Academy Friday, December 9, 2:00-6:00 pm   📌 in person at the Salle des Illustres - Mairie de Toulouse  💻 and in visio  ✅ Mandatory registration (face-to-face or visio):   During the formal public session of the Air and Space Academy 2022, which will take place on Friday, December 9, starting at 2:00 pm, Salle des Illustres, Hôtel de Ville de Toulouse, in face-to-face and remote sessions, the Vermeil Medal will be awarded (at 5:15 pm) to Carlos PÉREZ-ARROYO, Jérôme DOMBARD, and Gabriel STAFFELBACH to honor the excellence of their work in the realization of the FULLEST project, the first high-fidelity simulation of an aircraft engine.    Read more


CERFACS cited in l’Usine Nouvelle, Industrie et Technologies

Corentin LAPEYRE |  25 November 2022

The work of CERFACS, in collaboration with SAFRAN, on the hybridization of physical simulation software with machine learning techniques, has been cited in the magazine l'Usine Nouvelle, and is included in a detailed write-up called "Simulation and machine learning combine their strengths" in the magazine Industries et Technologies this month. This work, supervised at CERFACS by Corentin Lapeyre, and at SAFRAN by Stéphane Richard, is at the forefront of developments in terms of exploiting artificial intelligence tools for the simulation and design of physical systems.Read more

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