Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice Models
Abstract not provided.
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Jump to search filtersNonlinear Reduced-Order Models for Unsteady Compressible Flows
Abstract not provided.
Towards Uncertainty Quantification in 21st Century SeaLevel Rise Predictions: PDE Constrained Optimization as a First Step in Bayesian Calibration and Forward Propagation
Abstract not provided.
Computational Challenges in Ice Sheet Modeling
Abstract not provided.
Uncertainty Quantification for the Global Atmosphere Using Concurrent Samples
Abstract not provided.
Towards performance-portability of the Albany Finite Element analysis code using the Kokkos library of Trilinos
International Journal of HPC Applications
Performance portability on heterogeneous high-performance computing (HPC) systems is a major challenge faced today by code developers: parallel code needs to execute correctly as well as with high performance on machines with different architectures, operating systems, and software libraries. The Finite Element Method (FEM) is a popular and flexible method for discretizing partial differential equations arising in a wide variety of scientific, engineering, and industry applications that require HPC. This paper presents some preliminary results pertaining to our development of a performance portable implementation of the FEM-based Albany code. Performance portability is achieved using the Kokkos library of Trilinos. We present performance results for two different physics simulations modules in Albany: the Aeras global atmosphere dynamical code and the FELIX land-ice solver. As a result, numerical experiments show that our single code implementation gives reasonable performance across two multi-core/many-core architectures: NVIDIA GPUs and multi-core CPUs.
Towards quantifying uncertainty in Greenland's contribution to 21st century sea-level rise
Abstract not provided.
Component-based application code development, part 2:
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Component-Based Application Code Development Part 1: The AgileComponents Strategy and Albany Code
Abstract not provided.
Developing strong concurrent multiphysics multiscale coupling to understand the impact of microstructural mechanisms on the structural scale
Abstract not provided.
Nonlinear Reduced-Order Models in an Unsteady Compressible CFD Code
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MiSR: a Minimal Subspace Rotation approach for obtaining stable and accurate low-order projection-based reduced order models for nonlinear compressible flow
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Albany: Integrating Algorithmic Components to Build Advanced Applications
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Component-Based Application Code Development Part 2: Demonstration on a Land-Ice Model and Proposed Extension to Other Climate Components
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Rapid development of an ice sheet climate application using the components-based approach
Abstract not provided.
The Alternating Schwarz Method for Concurrent Multiscale in Finite Deformation Solid Mechanics
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Computational Methods in Ice Sheet Modeling for Next-Generation Climate Simulations
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Albany/FELIX: A Robust & Scalable Trilinos-Based Finite-Element Ice Flow Dycore Built for Advanced Architectures & Analysis
Abstract not provided.
Progress on the PISCEES FELIX Ice Sheet Dynamical Cores
Abstract not provided.
The Alternating Schwarz Method for Concurrent Multiscale in Finite Deformation Solid Mechanics
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Progress on Manycore Multiphysics Simulation in Albany using the Kokkos Portable Hardware Abstraction Library
Abstract not provided.
Stabilization and fine-tuning of projection-based reduced order models for compressible flow via minimal subspace rotation on the Stiefel manifold
Abstract not provided.
Uncertainty Quantification For A Next-Generation Global Atmosphere Model
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From Deterministic Inversion to Uncertainty Quantification: Planning a Long Journey in Ice Sheet Modeling
Abstract not provided.
Stabilization of Projection-Based Reduced Order Models via Optimization-Based Eigenvalue Reassignment
Abstract not provided.
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