Mme Fabienne JÉZÉQUEL

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")

Publications

• 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.

Informations complémentaires

Responsabilités administratives ou pédagogiques à l'université Paris-Panthéon-Assas
Membre du bureau du département de sciences économiques

Laboratoire d'appartenance
Laboratoire d'Informatique de Sorbonne Université (LIP6)

Responsabilités extérieures

• Responsable de l'équipe PEQUAN (Performance et Qualité des Algorithmes Numériques) du LIP6
• Membre du Conseil Scientifique du LIP6