Engineer of Ecole Centrale Paris, Ocean engineering, promotion 1994
PhD in Computer Sciences, Université de Grenoble 2012
Expert in HPC, IA and Scientific software design
Main contributor of the opensource frameworks Arcane and Alien
Teacher at Mines-Paritech : HPC module, Big-Data, Hadoop Spark and Dask module Steering committee member of the specialized master HPC-IA - Mines-Paristech
Reviewer of scientific journals (Spring Nature, MDPI,…)
Number of published patents: 2
: https://www.linkedin.com/in/jean-marc-gratien-0651a811/?originalSubdomain=fr
PROJETS
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Machine Learning Model for Gas–Liquid Interface Reconstruction in CFD Numerical Simulations T Nakano, MA Bucci, JM Gratien, T Faney Fluids 10 (1), 20, 2025
An implicit GNN solver for Poisson-like problems, M Nastorg, MA Bucci, T Faney, JM Gratien, G Charpiat, M Schoenauer, Computers & Mathematics with Applications 176, 270-288, 2024
Multi-level gnn preconditioner for solving large scale problems, M Nastorg, JM Gratien, T Faney, MA Bucci, G Charpiat, M Schoenauer, 2024 IEEE International Parallel and Distributed Processing Symposium, 2024
DS-GPS: A Deep Statistical Graph Poisson Solver, M Nastorg, M Schoenauer, G Charpiat, T Faney, JM Gratien, MA Bucci, NeurIPS 2022-Machine Learning and the Physical Sciences, workshop, 2022
Evaluation of the performance portability layer of different linear solver packages with alien, an open generic and extensible linear algebra framework., A Anciaux-Sedrakian, C Chevalier, S de Chaisemartin, JM Gratien,, ECCOMAS 2022: 8th European Congress on Computational Methods in Applied, 2022
Introducing multi-level parallelism, at coarse, fine and instruction level to enhance the performance of iterative solvers for large sparse linear systems on Multi-and Many …JM Gratien, 2020 IEEE/ACM 6th Workshop on the LLVM Compiler Infrastructure in HPC, 2020
A robust and scalable multi-level domain decomposition preconditioner for multi-core architecture with large number of cores, JM Gratien, Journal of Computational and Applied Mathematics 373, 112614, 2020
A New Parallel Reservoir Simulation Tool for the Production of Fractured Geothermal Reservoirs, OM Ricois, JM Gratien, Proceedings World Geothermal Congress, 2020
A robust Multi-Level Domain Decomposition Pre-conditioner for Reservoir Simulation scalable on Many-Core architecture, JM Gratien, H BATIN, Book of Abstracts, 39, 2018
ArcFVDSL, a DSEL combined to HARTS, a runtime system layer to implement efficient numerical methods to solve diffusive problems on new heterogeneous hardware architecture, JM Gratien, Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 72 (2), 12, 2017
Advantages of an unstructured unconventional fractured media model integrated within a multiphysics computational platform, OM Ricois, J Gratien, D BossieCodreanu, N Khvoenkova, M Delorme, International Petroleum Technology Conference, D021S022R003, 2016
Using runtime systems tools to implement efficient preconditioners for heterogeneous architectures, A Roussel, JM Gratien, T Gautier, Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 71 (6), 65, 2016
Description, implementation and evaluation of an affinity clause for task directives, P Virouleau, A Roussel, F Broquedis, T Gautier, F Rastello, JM Gratien
International Workshop on OpenMP, 61-73,2016
Reservoir simulator runtime enhancement based on a posteriori error estimation techniques, JM Gratien, O Ricois, S Yousef, Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 71 (5), 59, 2016
Will gpgpus be finally a credible solution for industrial reservoir simulators?, A Anciaux-Sedrakian, J Eaton, J Gratien, T Guignon, P Havé, C Preux,.. SPE Reservoir Simulation Conference, D021S006R005, 2015
Taking advantage seamlessly of new heterogeneous architectures, with a C++ DSEL to implement lowest-order methods for diffusive problem on general meshes, JM Gratien, PDESoft 2014, 2014
Enhanced Oil Recovery simulation Performances on New Hybrid Architectures, A Anciaux, JM Gratien, OM Ricois, T Guignon, P Theveny, M Hacene, GPU Technology Conference, 2014
Survey on efficient linear solvers for porous media flow models on recent hardware architectures, A Anciaux-Sedrakian, P Gottschling, JM Gratien, T Guignon, Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 69 (4), 753-766, 2014
Parallel adaptive mesh refinement for capturing front displacements: Application to thermal eor processes, Y Mesri, JM Gratien, O Ricois, R Gayno, SPE Reservoir Characterisation and Simulation Conference and Exhibition, SPE , 2013
A Domain Specific Embedded Language in C++ for lowest-order methods for diffusive problem on general meshes, JM Gratien, Thèse Université de Grenoble, 2013
An abstract object oriented runtime system for heterogeneous parallel architecture, JM Gratien, 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013
A domain-specific embedded language in C++ for lowest-order discretizations of diffusive problems on general meshes, DA Di Pietro, JM Gratien, C Prud’Homme, BIT Numerical Mathematics 53 (1), 111-152, 2013
Parallel Adaptive Mesh Refinement for Capturing Front Displacements: Application to Thermal EOR Processes. JM Gratien, OM Ricois, R Gayno, SPE paper, 2013
Implementing Lowest-Order Methods for Diffusive Problems with a DSEL, JM Gratien, Modelling and Simulation in Fluid Dynamics in Porous Media, 157-178, 2012
Migration to model driven engineering in the development process of distributed scientific application software, D Rahon, R Gayno, JM Gratien, G Le Fur, S Schneider, Proceedings of the 3rd annual conference on Systems, programming, and …, 2012
Implementing a Domain Specific Embedded Language for lowest-order variational methods with Boost Proto, JM Gratien, CPPNow 2012, 2012
Lowest order methods for diffusive problems on general meshes: A unified approach to definition and implementation, DAD Pietro, JM Gratien, Finite Volumes for Complex Applications VI Problems & Perspectives: FVCA 6, 2011
GPU linear solver for porous media flow simulation, T Guignon, M Hacene, JM Gratien, International Conference On Preconditioning Techniques For Scientific And ,2011