Environment for Quantifying Uncertainty:
Integrated aNd Optimized at the eXtreme scale
Sponsored by: DOE - Advanced Scientific Computing Research
Events
Programme in Uncertainty Quantification for Complex Systems: Theory and Methodologies, Isaac Newton Institute for Mathematical Sciences, Cambridge, United Kingdom, 2018
- Max Gunzburger serves as an organizer
Trimester Program on Multiscale Problems: Algorithms, Numerical Analysis, and Computation, Hausdorff Research Institute for Mathematics, Bonn, Germany, 2017
- Max Gunzburger serves as an organizer
Workshop on Uncertainty Quantification, Mittag-Leffler Institute, Stockholm, Sweden, 2016
- Max Gunzburger serves as an organizer
Basque Center for Applied Mathematics: Summer school on uncertainty quantification, Bilbao, Spain, 2016
- Max Gunzburger is a short course speaker
SIAM Conference on Uncertainty Quantification, Lausanne, Switzerland, 2016
- Plenary talk by Max Gunzburger
- Talk by Miroslav Stoyanov
Uncertainty Quantification in Materials Science, National Institute of Standards and Technology, Gaithersburg, 2016
- Plenary talk by Max Gunzburger
Challenges in High-Dimensional Analysis and Computation, San Servolo, Italy, 2016
- Plenary talk by Max Gunzburger
Workshop on Uncertainty Quantification, Mittag-Leffler Institute, Stockholm, Sweden, 2016
- Plenary talk by Max Gunzburger
Algorithms and Complexity in Mathematics, Epistemology and Science, London, Canada, 2015
- Plenary talk by Max Gunzburger
Uncertainty Quantification in Kinetic and Hyperbolic Problems, Madison, Wisconsin, 2015
- Plenary talk by Max Gunzburger
SIAM Conference on Parallel Processing for Scientific Computing (2014)
- Mini-symposium co-organized by Eric Phipps
Abstractions for Finite Element Assembly on Multi-Core Architectures
Sandia National Laboratories, CSRI Distinguished Lecture, January, 2014
- Lecture by M. Gunzburger
Quo vadis, UQ?
2nd ORNL Postdoc Symposium, July 2014, Oak Ridge
- Talk by H. Tran, C. Webster, and G. Zhang
Surrogate modeling method for Bayesian uncertainty quantification with applications to Large Eddy Simulation turbulence models,
Computational and Applied Math Seminar, University of Tennessee, Knoxville
- Talk by Peter Jantsch, Diego Galindo, Guannan Zhang, and Clayton Webster
Accelerating Hierarchical Stochastic Collocation Methods for PDEs with Random Coefficients
3rd Workshop on Sparse Grid and Applications, Stuttgart, Germany
- Clayton Webster served as Co-Organizer
- Talk by Guannan Zhang, Max Gunzburger, Clayton Webster, and Weidong Zhao
High-Order Schemes for Backward Stochastic Differential Equations and Applications in Solving Partial-Integral Differential Equations
- Talk by Peter Jantsch, Diego Galindo, Guannan Zhang, and Clayton Webster
Accelerating Hierarchical Stochastic Collocation Methods for PDEs with Random Coefficients - Talk by M. Gunzburger and A. Teckentrup
Optimal points sets for total degree polynomial interpolation in moderate dimensions
SIAM Annual Meeting (SIAM-AN14) 2014
- Mini-symposium organized by Guannan Zhang
Hierarchical Acceleration of a Stochastic Collocation Method for PDEs with Random Input Data - Mini-symposium organized by Guannan Zhang
Recent advances in uncertainty quantification at the extreme scale - Talk by Jonathan Hu and Eric Phipps
A Comparison of Algebraic Multigrid Preconditioning Approaches for Sampling-Based Uncertainty Propagation on Advanced Computing Architectures
- Talk by Eric Phipps and H. Carter Edwards
Improving Performance of Sampling-Based Uncertainty Quantification on Advanced Computing Architectures Through Embedded Ensemble Propagation
- Talk by Guannan Zhang, Max Gunzburger, and Clayton Webster
Hierarchical Acceleration of a Stochastic Collocation Method for PDEs with Random Input Data
- Talk by Nick Dexter, Miroslav Stoyanov, Clayton Webster, and Guannan Zhang
The Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients
SIAM Conference on Uncertainty Quantification (SIAM-UQ14) 2014
- Max Gunzburger co-chaired the Organizing Committee
- Clayton Webster served on the Organizing Committee
- Mini-symposium organized by Guannan Zhang
Efficient simulation of rare event - Mini-symposium organized by Guannan Zhang
Theoretical and numerical analysis for forward-backward stochastic differential equations and stochastic optimal control - Mini-symposium organized by Guannan Zhang
Uncertainty quantification driven by large-scale applications - Mini-Tutorial by Eric Phipps
Uncertainty Quantification Challenges in High-Performance Scientific Computing
- Talk by Jeff Wu and Rui Tuo
A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties
- Talk by Guannan Zhang, Max Gunzburger, and Clayton Webster
Hierarchical Acceleration of a Stochastic Collocation Method for PDEs with Random Input Data
- Talk by Peter Jantsch, Aretha Teckentrup, Clayton Webster, and Max Gunzburger
A Multilevel Stochastic Collocation Method
- Talk by H. Tran, C. Webster, and G. Zhang
Surrogate modeling method for Bayesian uncertainty quantification with applications to Large Eddy Simulation turbulence models
- Talk by Nick Dexter, Miroslav Stoyanov, Clayton Webster, and Guannan Zhang
The Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients - Talk by M. Gunzburger,
A generalized stochastic collocation approach for random control and parameter identification problem
SIAM South East Atlantic Meeting (SIAM-SEAS14) 2014
- Mini-symposium organized by Guannan Zhang
Recent advances of numerical methods for uncertainty quantification with large-scale simulations - Talk by Peter Jantsch, Aretha Teckentrup, Clayton Webster, and Max Gunzburger
A Multilevel Stochastic Collocation Method
- Talk by H. Tran, C. Webster, and G. Zhang
Surrogate modeling method for Bayesian uncertainty quantification with applications to Large Eddy Simulation turbulence models
ASC Tri-Lab Programming Models Workshop, Albuquerque, NM, Aug. 2014
- E. Phipps, H. Carter Edwards, and J. Hu
Uncertainty Quantification for Next-Generation Architectures
12th International Conference of Numerical Analysis and Applied Mathematics, Rhodes, Greece, September 2014
- Plenary lecture by M. Gunzburger
A multilevel stochastic collocation method for partial differential equations with random input data.
SIAM Student Conference 2014 at Virginia Tech
- Talk by Peter Jantsch, Aretha Teckentrup, Clayton Webster, and Max Gunzburger
A Multilevel Stochastic Collocation Method
- Talk by Nick Dexter and Clayton Webster
The Computational Complexity of Stochastic Galerkin and Collocation Methods for PDEs with Random Coefficients
Department of Mathematics Colloquium, University of Pittsburg, October 2014
- M. Gunzburger
A multilevel stochastic collocation method for partial differential equations with random input data
Trilinos User Group Meeting, Albuquerque, NM, Oct. 2014
- Talk by E. Phipps, H. Carter Edwards, J. Hu,
Uncertainty Quantification for Next-Generation Architectures
Nuclear Explosives Code Developers Conference, Los Alamos, NM, Oct. 2014
- Poster by E. Phipps, H. Carter Edwards, J. Hu,
Improving Performance of Uncertainty Quantification Methods on AdvancedComputing Architectures
International Conference on the Interface between Statistics and Engineering, Hong Kong, Dec., 2014
- Keynote speech by C. F. J. Wu
From real world problems to esoteric research: examples and personal experience
International Conference on Statistical Theory and Applications, Colombo, Dec., 2014
- Talk by C. F. J. Wu
A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation, and Convergence Properties
2016 SIAM Conference on Uncertainty Quantification
- Clayton Webster appointed as Co-Chair
SIAM Activity Group on Uncertainty Quantification
- Clayton Webster elected as Director of Programs
Equinox Partners: 
