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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 

 

CALENDAR

Monday

24

June

2024

Data assimilation

From Monday 24 June 2024 to Thursday 27 June 2024

  Training    

Monday

07

October

2024

Machine learning for data science

From Monday 7 October 2024 to Thursday 10 October 2024

  Training    

Monday

14

October

2024

Fundamentals to understand and analyse high fidelity compressible Large Eddy Simulations

From Monday 14 October 2024 to Wednesday 16 October 2024

  Training       Cerfacs, Toulouse, France    

ALL EVENTS