Omar M. Knio

According to our database1, Omar M. Knio authored at least 27 papers between 1997 and 2018.

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



In proceedings 
PhD thesis 




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

Partial differential equations preconditioner resilient to soft and hard faults.
IJHPCA, 2018

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

Risk-averse formulations and methods for a virtual power plant.
Computers & OR, 2018

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

Particle Simulation of Fractional Diffusion Equations.
CoRR, 2017

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

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

Probability Maps for the Visualization of Assimilation Ensemble Flow Data.
Proceedings of the EnvirVis@EuroVis 2015, 2015

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

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

Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.
Multiscale Modeling & Simulation, 2012

Uncertainty Quantification in MD Simulations. Part I: Forward Propagation.
Multiscale Modeling & Simulation, 2012

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

Bayesian Inference of Atomic Diffusivity in a Binary Ni/Al System Based on Molecular Dynamics.
Multiscale Modeling & Simulation, 2011

Many Task Computing for modeling the fate of oil discharged from the Deep Water Horizon well blowout.
Proceedings of the 3rd Workshop on Many-Task Computing on Grids and Supercomputers, 2010

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

Modeling Low Mach Number Reacting Flow with Detailed Chemistry and Transport.
J. Sci. Comput., 2005

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

Vortical Flow Outside a Sphere and Sound Generation.
SIAM Journal of Applied Mathematics, 1997