Fully-coupled Algebraic Multigrid Preconditioning Performance for Finite Element Resistive Magnetohydrodynamics
Abstract not provided.
Publications
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Jump to search filtersIMEX Lagrangian Methods
Abstract not provided.
Approximate Block Factorization Preconditioners for Scalable Solution of Multiphysics MHD Systems
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Block Preconditioners for Resistive MHD in Vector Potential Form
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Approximate Block Factorization Preconditioners for Scalable Solution of Multiphysics MHD Systems
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Scalable Implicit / IMEX Resistive MHD with Stabilized Finite Element Methods and Fully-coupled Newton-Krylov-AMG Solution Methods
Abstract not provided.
On the Performance of Fully-Coupled Algebraic Multigrid Preconditioning at Large-Scale: Application to FEM CFD/MHD
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Approximate Block Factorization Preconditioners for Scalable Solution of Multiphysics MHD Systems
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Enabling Efficient Uncertainty Quantification Using Adjoint-based Techniques
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Whitepaper prepared for DOE Workshop on Integrated Simulations for Magnetic Fusion Energy Sciences: Topic E: Beyond interpretive simulations
Predictive simulations of magnetic confinement fusion and burning plasmas will require the quantification of all uncertainties and errors relating to the simulation capabilities. These include: discretization error (temporal and spatial); incomplete convergence error (nonlinear, linear, etc.); uncertainties in input data (initial conditions, boundary conditions, coefficients, thermo-physical properties, source terms, etc.); and uncertainties in the component models (the specific form and parameter values).13 Typically, there is a focus on model parameter uncertainties but uncertainties about which model to use and about the bias or discrepancy of a particular model (sometimes called model form error) often dominate parameter uncertainty. This whitepaper addresses the challenges of performing uncertainty quantification (UQ) for expensive computational models.
Block Preconditioners for 3D Incompressible MHD with Mixed Finite Elements
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Utilizing Adjoint-Based Techniques to Effectively Perform UQ on Discontinuous Responses
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Performance of Algebraic Multigrid Preconditioners for Large-Scale Finite Element Simulations
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Block Preconditioning for Multi-physics: From Jacobi to Schur Complements
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Scalable Implicit Resistive MHD with Stabilized Finite Element Methods and Fully-coupled Newton-Krylov-AMG Solution Methods
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Algebraic Linearity Preserving Flux Limiting for Systems of PDEs
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A BLOCK PRECONDITIONER FOR AN EXACT PENALTY FORMULATION FOR STATIONARY MHD
SIAM Journal on Scientific Computing
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On the Development of an Implicit Stabilized FE Solver for Resistive MHD with Integrated Adjoint Error-Estimation
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A Scalable Implicit FE Solver for Resistive MHD with Integrated Adjoint Error-estimation and Sensitivity Analysis
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Thermal hydraulic simulations, error estimation and parameter sensitivity studies in Drekar::CFD
This report describes work directed towards completion of the Thermal Hydraulics Methods (THM) CFD Level 3 Milestone THM.CFD.P7.05 for the Consortium for Advanced Simulation of Light Water Reactors (CASL) Nuclear Hub effort. The focus of this milestone was to demonstrate the thermal hydraulics and adjoint based error estimation and parameter sensitivity capabilities in the CFD code called Drekar::CFD. This milestone builds upon the capabilities demonstrated in three earlier milestones; THM.CFD.P4.02 [12], completed March, 31, 2012, THM.CFD.P5.01 [15] completed June 30, 2012 and THM.CFD.P5.01 [11] completed on October 31, 2012.
Adjoint-Based Error Analysis for Stabilized Formulations and IMEX Schemes
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On the Development of a Scalable Fully-implicit Stabilized Unstructured FE Capability for Resistive MHD with Integrated Adjoint Error-Estimation
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Drekar::CFD-A Trilinos Component-Based Software Flow Solver
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Extremescale preconditioners for fullycoupled magnetohydrodynamics
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Amoritzing AMG Components Across Problem Sequences
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Results 151–175 of 290