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Sparse Days 2018

Sparse Days 2018

  1. Man Shun Ang – What is happening in non-negative matrix factorization? – vidéo
  2. Theo Mary – A New Preconditioner for Low-Precision Block Low-Rank Multifrontal Solvers – vidéo
  3. Timothée Goubault De Brugiere – Quantum circuits synthesis using Householder trasformations – vidéo
  4. Aurélien Falco – Hierarchical Symbolic Factorization for Sparse Matrices – vidéo
  5. Johannes Langguth – A distributed-memory parallel approximation of maximum weight perfect bipartite matching – vidéo
  6. Florent Lopez – Task-based sparse direct solvers for symmetric systems in the NLAFET Project
  7. Pedro Valero-Lara – Parallel Implementations for Solving Tridiagonal Systems – vidéo
  8. Weifeg Liu – OpenSPARSE: An Open Platorm for High Performance Sparse Basic Linear Algebra Subprograms – vidéo
  9. Atsushi Suzuki – Dissection solver for higher precision arithmetic by inner iterative refinement – vidéo
  10. Martin Kühn – On an efficient parallel implementation of adaptative FETI-DP with load balancing – vidéo
  11. Matthias Ehrhardt – High-Order Methods for Parabolic Equations in Multiple Space Dimensions for Option Pricing
  12. Sophie Moufawad – Numerical Stablity of s-step Enlarged Krylov Subspace Conjugate Gradient methods
  13. Hussam Al Daas – Efficient algebraic coarse spaces – vidéo
  14. Andy Wathen – Parallel preconditioning for time-dependent PDE problems – vidéo
  15. Salvatore Filippone – AMG preconditioning with Parallel Aggregation based on Compatible Weighted Matching – vidéo
  16. Victor Magri – aSP-AMG: adaptative Smoothing and Prolongation Algebraic MultiGrid
  17. Frank Hülsemann – Fast iterative solvers for robust discretisations
  18. Keita Teranishi – Performance portable parallel CP-APR tensor decompositions – vidéo
  19. Aydin Buluc – Communication-Avoiding Sparce-Matrix Primitives for Parallel Machine Learning – vidéo
  20. Masha Sosonkina – Impacts of Three Soft-Fault Models on Hybrid Parallel Asynchronus Jacobi – vidéo
  21. Julian Hall – Exploiting ultra-sparsity in the revised simplex method – vidéo
  22. Jan Papez – Preconditioned linear solvers in CMB data analysis – vidéo
  23. Robert Lucas – A tale of Woe – vidéo

CALENDAR

Monday

07

October

2024

Machine learning for data science

From Monday 7 October 2024 to Thursday 10 October 2024

  Training    

Tuesday

08

October

2024

🎓Mathis PEYRON thesis defense

Tuesday 8 October 2024From 10h00 at 12h00

  Phd Thesis       JCA Room, CERFACS, Toulouse, France    

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