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20102022
most citedExaHyPE: An Engine for Parallel Dynamically Adaptive Simulations of Wave Problems

74 citations · 236 across the 19 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.MS2019

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…

cs.DC2019★ 6 cited

Lightweight Task Offloading Exploiting MPI Wait Times for Parallel Adaptive Mesh Refinement

Philipp Samfass, Tobias Weinzierl, Dominic E. Charrier +1

Balancing the workload of sophisticated simulations is inherently difficult, since we have to balance both computational workload and memory footprint over meshes that can change a…

math.NA2019

A stable discontinuous Galerkin method for linear elastodynamics in 3D geometrically complex media using physics based numerical fluxes

Kenneth Duru, Leonhard Rannabauer, Alice-Agnes Gabriel +3

High order accurate and explicit time-stable solvers are well suited for hyperbolic wave propagation problems. As a result of the complexities of real geometries, internal interfac…

cs.MS2019★ 74 cited

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…

physics.comp-ph2019★ 3 cited

A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes

Lukas Krenz, Leonhard Rannabauer, Michael Bader

We present a high-order discontinuous Galerkin (DG) solver of the compressible Navier-Stokes equations for cloud formation processes. The scheme exploits an underlying parallelized…

cs.MS2019★ 17 cited

Yet Another Tensor Toolbox for discontinuous Galerkin methods and other applications

Carsten Uphoff, Michael Bader

The numerical solution of partial differential equations is at the heart of many grand challenges in supercomputing. Solvers based on high-order discontinuous Galerkin (DG) discret…