20 citations · 35 across the 9 of their papers we have counts for
10 papers
A Performance Analysis of Task Scheduling for UQ Workflows on HPC Systems
Chung Ming Loi, Anne Reinarz, Mikkel Lykkegaard +3
Uncertainty Quantification (UQ) workloads are becoming increasingly common in science and engineering. They involve the submission of thousands or even millions of similar tasks wi…
Democratizing Uncertainty Quantification
Linus Seelinger, Anne Reinarz, Mikkel B. Lykkegaard +22
Uncertainty Quantification (UQ) is vital to safety-critical model-based analyses, but the widespread adoption of sophisticated UQ methods is limited by technical complexity. In thi…
Modeling and Quantifying Parameter Uncertainty of Co-seismic Non-classical Nonlinearity in Rocks
Zihua Niu, Alice-Agnes Gabriel, Linus Seelinger +1
Dynamic perturbations reveal unconventional nonlinear behavior in rocks, as evidenced by field and laboratory studies. During the passage of seismic waves, rocks exhibit a decrease…
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification
Linus Seelinger, Anne Reinarz, Jean Benezech +3
Treating uncertainties in models is essential in many fields of science and engineering. Uncertainty quantification (UQ) on complex and computationally costly numerical models nece…
Scalable multiscale-spectral GFEM with an application to composite aero-structures
Jean Bénézech, Linus Seelinger, Peter Bastian +4
In this paper, the first large-scale application of multiscale-spectral generalized finite element methods (MS-GFEM) to composite aero-structures is presented. The crucial novelty…
High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo
Linus Seelinger, Anne Reinarz, Leonhard Rannabauer +3
Numerical models of complex real-world phenomena often necessitate High Performance Computing (HPC). Uncertainties increase problem dimensionality further and pose even greater cha…