Olivier P. Le Maître

According to our database1, Olivier P. Le Maître authored at least 28 papers between 2004 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Exploring the interplay of resilience and energy consumption for a task-based partial differential equations preconditioner.
Parallel Computing, 2018

Optimal projection of observations in a Bayesian setting.
Computational Statistics & Data Analysis, 2018

2017
Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations.
SIAM J. Scientific Computing, 2017

A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs.
Computer Physics Communications, 2017

2016
A Newton-Galerkin Method for Fluid Flow Exhibiting Uncertain Periodic Dynamics.
SIAM Review, 2016

Sparse Pseudo Spectral Projection Methods with Directional Adaptation for Uncertainty Quantification.
J. Sci. Comput., 2016

Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults.
Proceedings of the High Performance Computing - 31st International Conference, 2016

Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver.
Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016

ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner.
Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016

2015
Fault Resilient Domain Decomposition Preconditioner for PDEs.
SIAM J. Scientific Computing, 2015

PC analysis of stochastic differential equations driven by Wiener noise.
Rel. Eng. & Sys. Safety, 2015

Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
Model Reduction Based on Proper Generalized Decomposition for the Stochastic Steady Incompressible Navier-Stokes Equations.
SIAM J. Scientific Computing, 2014

Preconditioned Bayesian Regression for Stochastic Chemical Kinetics.
J. Sci. Comput., 2014

Solving 3D incompressible Navier-Stokes equations on hybrid CPU/GPU systems.
Proceedings of the 2014 Spring Simulation Multiconference, 2014

2013
A Parallel Solver for Incompressible Fluid Flows.
Proceedings of the International Conference on Computational Science, 2013

2012
Adaptive Anisotropic Spectral Stochastic Methods for Uncertain Scalar Conservation Laws.
SIAM J. Scientific Computing, 2012

Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection.
J. Sci. Comput., 2012

2010
Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning.
SIAM J. Scientific Computing, 2010

Intrusive Galerkin methods with upwinding for uncertain nonlinear hyperbolic systems.
J. Comput. Physics, 2010

A numerical method for the simulation of low Mach number liquid-gas flows.
J. Comput. Physics, 2010

Roe solver with entropy corrector for uncertain hyperbolic systems.
J. Computational Applied Mathematics, 2010

2009
Polynomial chaos expansion for sensitivity analysis.
Rel. Eng. & Sys. Safety, 2009

Generalized spectral decomposition for stochastic nonlinear problems.
J. Comput. Physics, 2009

2007
Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems.
SIAM J. Scientific Computing, 2007

A stochastic particle-mesh scheme for uncertainty propagation in vortical flows.
J. Comput. Physics, 2007

2004
Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions.
SIAM J. Scientific Computing, 2004

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes.
SIAM J. Scientific Computing, 2004


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