Christophe Picard

Christophe Picard

Associate Professor in Applied Mathematics

Grenoble INP - Ensimag | Laboratoire Jean Kuntzmann

Biography

I am an associate professor of Applied Mathematics at Grenoble INP - Ensimag. I perform my research in LJK (Laboratoire Jean Kuntzmann). I am a member of the EDP team in Partial Differential Equation.

My research interests include Scientific computing, High Performance Computing, Simulation and Modeling.

I am also involved in MaiMoSiNE.

MaiMoSiNE is an university structure which provides an interface for industrial engineers and scientists to communicate their needs, objectives and challenges, to university researchers.

Interests
  • Scientific Computing
  • Finite differences
  • Particle methods
  • Spectral methods
  • Singular value decomposition
  • Domain decomposition
  • High Performances Computing
  • Mathematical Modeling
  • Simulation
  • Quantum Computing
Education

  • PhD in Computer Science, 2007

    University of Houston

  • Engineering Degree, 2003

    Matmeca

  • MSc Degree in Applied Mathematics, 2003

    Université Bordeaux 1

Activities

 
 
 
 
 
Chair ECMI Educational Committee
ECMI
January 2020 – Present
ECMI has set up the ECMI Educational Committee with representatives from each participating university. This committee meets twice a year and is in charge of all educational activities.
 
 
 
 
 
Member ECMI Educational Committee
January 2017 – Present
 
 
 
 
 
Chair of Persyval Lab research action MFA
Persyval
January 2017 – Present

Based on high-level research laboratories present at Grenoble in Mathematics, Computer Science, Automatic Control, Signal Processing, and Hardware Architecture, Persyval-lab promotes a holistic approach for developing an ambitious scientific program focused on four research actions conducted by integrated multi-disciplinary small and effective teams.

The research action “Mathematics: from Fundamentals to Applications” (MFA) aims at better understanding and optimizing the dynamic behavior of complex computational-physical systems.

 
 
 
 
 
Head M1 Master program in Applied Mathematics in Grenoble
M1 AM
September 2015 – September 2022
Currently, applied mathematics is an area that provides many job opportunities, in industry and in the academic world. There is a great demand for mathematical engineers on topics such as scientific computation, big data analysis, imaging and computer graphics, with applications in many fields such as physics, medicine, biology, engineering, finance, environmental sciences .
 
 
 
 
 
Deputy director of MaiMoSiNE
MaiMoSiNE
January 2011 – December 2021
MaiMoSiNE is an university structure which provides an interface for industrial engineers and scientists to communicate their needs, objectives and challenges, to university researchers
 
 
 
 
 
Head of PDE Team @ LJK
PDE Team @ LJK
January 2021 – September 2022
The Partial Differential Equations team is part of the MAD department (Deterministic Models and Algorithms) and gathers researchers in the area of modeling, analysis and scientific computing in strong interaction with other disciplines.

Projects

I-Worms
Innovative workflow for time synchronization of massive seismologic data
I-Worms
LUG2
Innovative workflow for time synchronization of massive seismologic data
LUG2
HAMM
Hybrid Architectures and Multiscale Methods
HAMM
Simvort
Simulation of vortex dynamics at moderate Reynolds numbers flow
Simvort

Recent Publications

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Jean-Baptiste Keck, Georges-Henri Cottet, Eckart Meiburg, Iraj Mortazavi, Christophe Picard (2020). Double-diffusive sedimentation at high Schmidt numbers: Semi-Lagrangian simulations.

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Christophe Picard (2019). Calcul haute performance. Data Science - Cours et exercices.

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Georges-Henri Cottet, Jean-Matthieu Etancelin, Franck Pérignon, Christophe Picard (2014). High order semi-Lagrangian particle methods for transport equations: numerical analysis and implementation issues.

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Jean-Matthieu Etancelin, Georges-Henri Cottet, Franck Pérignon, Christophe Picard (2014). Multi-CPU and multi-GPU hybrid computations of multi-scale scalar transport. 26th International Conference on Parallel Computational Fluid Dynamics.

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Abdoulaye Samaké, Vincent Chabannes, Christophe Picard, Christophe Prud’homme (2014). Domain decomposition methods in feel++. Lecture Notes in Computational Science and Engineering.

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Popular Topics

"Domain Decomposition" "Fluid Structure Interaction Problem" "Fluid Structure Interaction" "High performance computing" "Hybrid computing" "Multi-scale method" "Parallel Solver" "Particle method" "Remeshed particle method" "Structure Interaction Problem" "Transport equations" "Turbulence" Acoustic GP-GPU IHM Industry Numerical Simulation R

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