74 citations · 139 across the 15 of their papers we have counts for
15 papers
Dynamic Load Balancing for Uncertainty Quantification with Applications in Bayesian Inversion
C. M. Loi, M. Wille, A. Reinarz
Uncertainty quantification (UQ) workflows present a particular scheduling challenge in high performance computing environments, as they typically generate large numbers of heteroge…
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…
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…
Doubt and Redundancy Kill Soft Errors -- Towards Detection and Correction of Silent Data Corruption in Task-based Numerical Software
Philipp Samfass, Tobias Weinzierl, Anne Reinarz +1
Resilient algorithms in high-performance computing are subject to rigorous non-functional constraints. Resiliency must not increase the runtime, memory footprint or I/O demands too…
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…
Vectorization and Minimization of Memory Footprint for Linear High-Order Discontinuous Galerkin Schemes
Jean-Matthieu Gallard, Leonhard Rannabauer, Anne Reinarz +1
We present a sequence of optimizations to the performance-critical compute kernels of the high-order discontinuous Galerkin solver of the hyperbolic PDE engine ExaHyPE -- successiv…
Role-Oriented Code Generation in an Engine for Solving Hyperbolic PDE Systems
Jean-Matthieu Gallard, Lukas Krenz, Leonhard Rannabauer +2
The development of a high performance PDE solver requires the combined expertise of interdisciplinary teams with respect to application domain, numerical scheme and low-level optim…
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems
Linus Seelinger, Anne Reinarz, Robert Scheichl
We present an efficient implementation of the highly robust and scalable GenEO preconditioner in the high-performance PDE framework DUNE. The GenEO coarse space is constructed by c…
ExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems
Anne Reinarz, Dominic E. Charrier, Michael Bader +13
ExaHyPE ("An Exascale Hyperbolic PDE Engine") is a software engine for solving systems of first-order hyperbolic partial differential equations (PDEs). Hyperbolic PDEs are typicall…
High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites
Richard Butler, Tim Dodwell, Anne Reinarz +3
The key innovation in this paper is an open-source, high-performance iterative solver for high contrast, strongly anisotropic elliptic partial differential equations implemented wi…
Influence of A-Posteriori Subcell Limiting on Fault Frequency in Higher-Order DG Schemes
Anne Reinarz, Jean-Matthieu Gallard, Michael Bader
Soft error rates are increasing as modern architectures require increasingly small features at low voltages. Due to the large number of components used in HPC architectures, these…
Sparse Grid Approximation Spaces for Space-Time Boundary Integral Formulations of the Heat Equation
Alexey Chernov, Anne Reinarz
The aim of this paper is to develop stable and accurate numerical schemes for boundary integral formulations of the heat equation with Dirichlet boundary conditions. The accuracy o…
A Bayesian Framework for Assessing the Strength Distribution of Composite Structures with Random Defects
Anhadjeet Sandhu, Anne Reinarz, Timothy Dodwell
This paper presents a novel stochastic framework to quantify the knock down in strength from out-of-plane wrinkles at the coupon level. The key innovation is a Markov Chain Monte C…
dune-composites -- A New Framework for High-Performance Finite Element Modelling of Laminates
Anne Reinarz, Tim Dodwell, Tim Fletcher +3
Finite element (FE) analysis has the potential to offset much of the expensive experimental testing currently required to certify aerospace laminates. However, large numbers of deg…