4 citations · 4 across the 2 of their papers we have counts for
9 papers
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…