Positions currently available in the group:
https://www.linkedin.com/company/ifp-energies-nouvelles/jobs/
She received her Ph.D. degree in computer science from the University of Pierre et Marie Curie (Paris VI) in 2005. After one year at Vrije Universiteit Amsterdam and one year at Barcelona Supercomputing Centre (BSC) as a post-doctoral researcher, she joined the Digital Science and Technology Division, at IFPEN, in 2007. She is leading the High-performance computing project for the Scientific Division since 2016. The objective of this project is to study how to fully exploit computing resources based on parallel architectures such as x86 and ARM, with an increasing number of cores, accelerated or not by GPUs, in order to propose robust and performing solutions for IFPEN applications. She participates in the development and maintenance of several software packages and prototypes like Wind Turbine application using LBM, linear algebra library; MCGSolver, adapted for different hardware architecture, reservoir dynamical simulator, etc. Her main research areas are high-performance computing, performance analyses, code optimization and linear algebra solver.
Community services:
- Leading IFPEN scientific challenge number 8 concerning the code performance in collaboration with Soleiman Youssef
- Representing IFPEN at the European Technology Platform for High Performance Computing (ETP4HPC) and contributing to the Strategic Research Agenda 4.
- Guest-editor in charge of the topical issue Numerical Methods and HPC for OGST (Oil & Gas Science and Technology) in 2018, in collaboration with Quang-Huy Tran.
- Conference SIMRACE 2015: Numerical methods and HPC for the simulation of complex flows, in the Rencontres Scientifiques d'IFPEN series, in Rueil-Malmaison (IFPEN), Decembre 2015, in collaboration with Stéphane de Chaisemartin, Isabelle Faille and Quang-Huy Tran.
Ongoing collaborative projects:
- H2020 research project (01.2019-01.2022): EoCoE-II “Energy oriented Center of Excellence on HPC”
Partenaires : Cerfacs, Ciemat, CNR, CNRS, DDN, Enea, FAU, Fraunhofer, FZJ, IFPEN,
Inria, MPG, PSNC, UBAH, ULB, UNITN
- MITACS Accelerate (01.2021-01.2025) : Parallel Computing of particule laden flows with applications to energy processes
Partenaires : IFP Technologies Canada, Univ. British Colombia
An a posteriori-based adaptive preconditioner for controlling a local algebraic error norm
BIT Numerical Mathematics
2020-08-03 | journal-article
DOI: 10.1007/s10543-020-00822-3Part of ISSN: 0006-3835Part of ISSN: 1572-9125
Adaptive linear solution process for single-phase Darcy flow
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
2020 | journal-article
DOI: 10.2516/ogst/2020050Part of ISSN: 1294-4475Part of ISSN: 1953-8189
Adaptive solution of linear systems of equations based on a posteriori error estimators
Numerical Algorithms
2019-07-05 | journal-article
DOI: 10.1007/s11075-019-00757-zPart of ISSN: 1017-1398Part of ISSN: 1572-9265
Editorial for the Topical Issue “Numerical methods and HPC”
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
2019 | journal-article
DOI: 10.2516/ogst/2019043Part of ISSN: 1294-4475Part of ISSN: 1953-8189
S-Step BiCGStab Algorithms for Geoscience Dynamic Simulations
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
2016-11 | journal-article
DOI: 10.2516/ogst/2016021Part of ISSN: 1294-4475Part of ISSN: 1953-8189
Plane-Wave Density Functional Theory
Electronic Structure Calculations on Graphics Processing Units
2016-02-19 | book-chapter
DOI: 10.1002/9781118670712.ch7Part of ISBN: 9781118670712Part of ISBN: 9781118661789
Will GPGPUs be Finally a Credible Solution for Industrial Reservoir Simulators?
SPE Reservoir Simulation Symposium
2015 | conference-paper
DOI: 10.2118/173223-ms
Survey on Efficient Linear Solvers for Porous Media Flow Models on Recent Hardware Architectures
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
2014 | journal-article
DOI: 10.2516/ogst/2013184Part of ISSN: 1294-4475Part of ISSN: 1953-8189
Accelerating VASP electronic structure calculations using graphic processing units
Journal of Computational Chemistry
2012-12-15 | journal-article
DOI: 10.1002/jcc.23096Part of ISSN: 0192-8651