Mme Fabienne JÉZÉQUEL

Maître de conférences en Informatique

Enseignant – chercheur

jezequel_fabienne.jpg

Matière(s) enseignée(s)

Algorithmique, Bases de données, Langages de programmation (Java, Python, VBA)

Thèmes de recherche :

Algorithmique numérique, Calcul à haute performance, Validation numérique

Coordonnées

Université Paris-Panthéon-Assas 12, place du Panthéon 75231 Paris cedex 05

Site web : perso.lip6.fr/Fabienne.Jezequel

Centre(s) de recherche : Laboratoire d'Informatique de Sorbonne Université (LIP6)

Titres universitaires

  • 2005 : Habilitation à Diriger des Recherches (HDR) en Informatique de l'université Paris 6 ("Contrôle dynamique des méthodes d'approximation")
  • 1996 : Doctorat en Informatique de l'université Paris 6 ("Parallélisation en temps et en espace de la résolution d'équations d'évolution, contrôle de la solution")

Responsabilités administratives / pédagogiques à l'université Paris-Panthéon-Assas

Membre du Conseil de la Recherche

Publications

  • H. Dorfsman, A. Anciaux-Sedrakian, T. Guignon, F. Jézéquel, T. Mary, Mixed Precision Strategies for Solving Sparse Linear Systems with BiCGStab, Workshop on Approximate Computing in Numerical Linear Algebra, Paris (France), octobre 2025.
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.-Y. l’Excellent, T. Mary, Communication avoiding block low-rank parallel multifrontal triangular solve with many right-hand sides, SIAM J. Matrix Anal. Appl., 45(1), pages 148-166, 2024.
  • S. Graillat, F. Jézéquel, T. Mary, R. Molina, Adaptive precision sparse matrix-vector product and its application to Krylov solvers, SIAM J. Sci. Comput., 46(1), pages C30-C56, 2024.
  • S. Graillat, F. Jézéquel, T. Mary, R. Molina, D. Mukunoki, Reduced-Precision and Reduced-Exponent Formats for Adaptive-Precision Sparse Matrix-Vector Product, Euro-Par’24 conference, Madrid (Espagne), août 2024.
  • P. Amestoy, O. Boiteau, A. Buttari, L. Combe, F. Faucher, M. Gerest, F. Jézéquel, J.-Y. L’Excellent, T. Mary, S. Operto, C. Puglisi, Recent advances on sparse direct solver using Block Low-Rank and mixed precision for large scale applications, SIAM Conference on Applied Linear Algebra (LA24), Paris (France), mai 2024.
  • H. Dorfsman, A. Anciaux-Sedrakian, T. Guignon, F. Jézéquel, T. Mary, Mixed Precision Strategies for Solving Sparse Linear Systems with BiCGStab, SIAM Conference on Applied Linear Algebra (LA24), Paris (France), mai 2024.
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.-Y. l’Excellent, T. Mary, Mixed Precision Low Rank Approximations and their Application to Block Low Rank LU Factorization, IMA Journal of Numerical Analysis, 43(4), pages 2198-2227, 2023.
  • Q. Ferro, S. Graillat, T. Hilaire, F. Jézéquel, Performance of precision auto-tuned neural networks, MCSoC 2023 (16th IEEE International Symposium on Embedded Multicore/Manycore Systems-on-Chip) special session POAT (Performance Optimization and Auto-Tuning of Software on Multicore/Manycore Systems), Singapore, décembre 2023.
  • D. Chamont, R. Molina, V. Lafage, F. Jézéquel, Investigating mixed-precision for AGATA pulse-shape analysis, 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023), Norfolk (USA), mai 2023.
  • Q. Ferro, S. Graillat, T. Hilaire, F. Jézéquel, Precision Auto-Tuning of High-Performance Neural Networks, European Conference on Numerical Mathematics and Advanced Applications (ENUMATH), minisymposium “Mixed Precision Computations in Theory and Practice”, Lisbonne (Portugal), septembre 2023.
  • Q. Ferro, S. Graillat, T. Hilaire, F. Jézéquel, Precision auto-tuning using stochastic arithmetic, 10th International Congress on Industrial and Applied Mathematics (ICIAM), minisymposium “Exploring Arithmetic and Data Representation Beyond the Standard in HPC”, Tokyo (Japon), août 2023.
  • R. Molina, S. Graillat, F. Jézéquel, T. Mary, Adaptive Precision Sparse Iterative Solvers, SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam (Pays-Bas), février-mars 2023.
  • P. Amestoy, O. Boiteau, A. Buttari, M. Gerest, F. Jézéquel, J.-Y. L’Excellent,T. Mary, Reducing communications and memory costs of parallel Block Low-Rank solvers, SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam (Pays-Bas), février-mars 2023.
  • Q. Ferro, S. Graillat, T. Hilaire, F. Jézéquel, B. Lewandowski, Neural Network Precision Tuning Using Stochastic Arithmetic, NSV’22, 15th International Workshop on Numerical Software Verification, Haifa (Israël), août 2022.
  • S. Graillat, F. Jézéquel, E. Queiros Martins, M. Spyropoulos, Computing multiple roots of polynomials in stochastic arithmetic with Newton method and approximate GCD, International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2021), Timisoara, Romania, December 2021.
  • F. Jézéquel, Benefits of stochastic arithmetic in high performance simulations and arbitrary precision codes, plenary presentation, 19th international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2020), virtual conference, September 2021.
  • F. Jézéquel, S. sadat Hoseininasab, T. Hilaire, Numerical validation of half precision simulations, 1st Workshop on Code Quality and Security (CQS 2021) in conjunction with WorldCIST'21 (9th World Conference on Information Systems and Technologies), Terceira Island, Azores, Portugal, March-April 2021.
  • E. Agullo et al, Resiliency in Numerical Algorithm Design for Extreme Scale Simulations, International Journal of High Performance Computing Applications, SAGE Publications, 2021.
  • S. Graillat and F. Jézéquel, Tight interval inclusions with compensated algorithms, IEEE Transactions on Computers, 69(12), pages 1174-1783, 2020.
  • F. Jézéquel, S. Graillat, D. Mukunoki, T. Imamura, R. Iakymchuk, Can we avoid rounding-error estimation in HPC codes and still get trustworthy results?, NSV'20, 13th International Workshop on Numerical Software Verification, Los Angeles, CA, USA, July 2020.
  • S. Graillat, F. Jézéquel, R. Picot, F. Févotte, and B. Lathuilière, Auto-tuning for floating-point precision with Discrete Stochastic Arithmetic, Journal of Computational Science, 36, pages 101017, 2019.
  • T. Imamura, D. Mukunoki, R. Iakymchuk, F. Jézéquel, S. Graillat, Numerical Reproducibility based on Minimal-Precision Validation, Computational Reproducibility at Exascale Workshop (CRE2019), in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC19), Nov. 2019
  • S. Graillat, F. Jézéquel, R. Picot, Numerical validation of compensated algorithms with stochastic arithmetic, Applied Mathematics and Computation, 329, pages 339-363, 2018.
  • S. Graillat, F. Jézéquel, R. Picot, F. Févotte, B. Lathuilière, Numerical validation in quadruple precision using stochastic arithmetic, TNC’18. Trusted Numerical Computations, M. Martel, N. Damouche, J. Alexandre Dit Sandretto (editors), Kalpa Publications in Computing, vol. 8, pages 38-53, 2018.
  • S. Graillat, F. Jézéquel, Tight interval inclusions with compensated algorithms, 18th international symposium on Scientific Computing, Computer Arithmetic and Validated Numerics (SCAN 2018), Tokyo (Japon), septembre 2018.
  • P. Eberhart, B. Landreau, J. Brajard, P. Fortin, F. Jézéquel, Improving CADNA performance on GPUs, 19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC), 32nd International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, Canada, pages 1016-1025, mai 2018.