Realizing Exascale Performance for Uncertainty Quantification
Abstract not provided.
Publications
Improving Performance of Sampling-Based Uncertainty Quantification on Advanced Computing Architectures Through Embedded Ensemble Propagation
Abstract not provided.
Towards Extreme-scale Simulations with Next-Generation Trilinos: a low Mach application case study
Abstract not provided.
Improving PDE Assembly Performance through Embedded Uncertainty Quantification
Abstract not provided.
Improving PDE Assembly Performance through Embedded Uncertainty Quantification
Abstract not provided.
Embedded UQ R&D In Albany
Abstract not provided.
Enabling extreme-scale simulations with next-generation Trilinos for Sierra low Mach fluid application code
Abstract not provided.
Albany: A Component-Based Partial Differential Equation Code Built on Trilinos
ACM Transaction on Mathematical Software
Abstract not provided.
Realizing Exascale Performance for Uncertainty Quantification
Abstract not provided.
Exploring Emerging Manycore Architectures for Uncertainty Quantification Through Embedded Stochastic Galerkin Methods
Abstract not provided.
Realizing Exascale Performance for Uncertainty Quantification
Abstract not provided.
Exploring Emerging Manycore Architectures for Uncertainty Quantification Through Embedded Stochastic Galerkin Methods
Proposed for publication in International Journal of Computer Mathematics.
Abstract not provided.
Efficient uncertainty propagation for network multiphysics systems
Proposed for publication in International Journal for Numerical Methods in Engineering.
Abstract not provided.
Numerical Bifurcation Methods and their Application to Fluid Dynamics: Analysis beyond Simulation
Proposed for publication in Communications in Computational Physics.
Abstract not provided.
The Algorithm Research Experience in Albany
Abstract not provided.
Efficient expression templates for operator overloading-based automatic differentiation
Lecture Notes in Computational Science and Engineering
Expression templates are a well-known set of techniques for improving the efficiency of operator overloading-based forward mode automatic differentiation schemes in the C++ programming language by translating the differentiation from individual operators to whole expressions. However standard expression template approaches result in a large amount of duplicate computation, particularly for large expression trees, degrading their performance. In this paper we describe several techniques for improving the efficiency of expression templates and their implementation in the automatic differentiation package Sacado (Phipps et al., Advances in automatic differentiation, Lecture notes in computational science and engineering, Springer, Berlin, 2008; Phipps and Gay, Sacado automatic differentiation package. http://trilinos.sandia.gov/packages/sacado/, 2011). We demonstrate their improved efficiency through test functions as well as their application to differentiation of a large-scale fluid dynamics simulation code. © 2012 Springer-Verlag.
Supporting Embedded Algorithms through Template-based Generic Programming
Abstract not provided.
Efficient Expression Templates for Operator Overloading-based Automatic Differentiation
Abstract not provided.
Exploring Embedded UQ Approaches for Improved Scalability and Efficiency
Abstract not provided.
Reduced chaos expansions with random coefficients in reduced-dimensional stochastic modeling of coupled problems
Proposed for publication in International Journal for Numerical Methods in Engineering.
Abstract not provided.
Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods
Proposed for publication in Numerical Linear Algebra with Applications.
Abstract not provided.
A posteriori error analysis and adaptive construction of surrogate models for probabilities
Abstract not provided.
Enabling Embedded Algorithms R&D Through Template-based Generic Programming
Abstract not provided.
Preliminary Investigations of Multi-Core Accelerated Embedded Uncertainty Quantification
Abstract not provided.
Scalable Collocation Methods using a Combination of Krylov Basis Recycling and Adjoint Enhancement
Abstract not provided.
Results 76–100 of 144