Khachik Sargsyan

According to our database1, Khachik Sargsyan authored at least 27 papers between 2005 and 2019.

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



In proceedings 
PhD thesis 




Compressive sensing adaptation for polynomial chaos expansions.
J. Comput. Phys., 2019

The network uncertainty quantification method for propagating uncertainties in component-based systems.
CoRR, 2019

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

Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.
SIAM/ASA J. Uncertain. Quantification, 2018

Partial differential equations preconditioner resilient to soft and hard faults.
Int. J. High Perform. Comput. Appl., 2018

The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance.
Proceedings of the High Performance Computing - 33rd International Conference, 2018

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

A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs.
Comput. Phys. Commun., 2017

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. Sci. Comput., 2015

Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models.
Multiscale Model. Simul., 2015

Bayesian Calibration of the Community Land Model Using Surrogates.
SIAM/ASA J. Uncertain. Quantification, 2015

Hybrid discrete/continuum algorithms for stochastic reaction networks.
J. Comput. Phys., 2015

Enhancing ℓ1-minimization estimates of polynomial chaos expansions using basis selection.
J. Comput. Phys., 2015

Probabilistic Methods for Sensitivity Analysis and Calibration in the NASA Challenge Problem.
J. Aerosp. Inf. Syst., 2015

Enhancing ℓ<sub>1</sub>-minimization estimates of polynomial chaos expansions using basis selection.
CoRR, 2014

Validation and Uncertainty Assessment of Extreme-Scale HPC Simulation through Bayesian Inference.
Proceedings of the Euro-Par 2013 Parallel Processing, 2013

Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs.
SIAM J. Sci. Comput., 2012

A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations.
Multiscale Model. Simul., 2012

Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters.
Multiscale Model. Simul., 2012

Uncertainty Quantification in MD Simulations. Part I: Forward Propagation.
Multiscale Model. Simul., 2012

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

Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities.
Proceedings of the ICDM Workshops 2009, 2009

Extinction Times for Birth-Death Processes: Exact Results, Continuum Asymptotics, and the Failure of the Fokker-Planck Approximation.
Multiscale Model. Simul., 2005