18 citations · 32 across the 12 of their papers we have counts for
13 papers
APU-Accelerated Large Eddy Simulation with the Discontinuous Galerkin Solver GALÆXI
Spencer Starr, Anna Schwarz, Justin Du Plessis +5
The exascale computing era, driven by heterogeneous GPU architectures, requires a fundamental redesign of traditional CFD solvers to fully leverage those heterogeneous systems. The…
High-Order Simulation of Particle-Laden Flows in Moving Domains Using Coupled ALE and Sliding Mesh Approaches
Anna Schwarz, Patrick Kopper
In practical applications, compressible particle-laden flows in moving geometries involve complex, non-linear, and multi-scale inter-actions with turbulent structures. Resolving th…
An Architecture-Agnostic High-Order Discontinuous Galerkin Framework for Compressible Flows
Spencer Starr, Yannik Feldner, Patrick Kopper +6
With the recent proliferation of heterogeneous, GPU-accelerated supercomputers, high-order computational fluid dynamics (CFD) simulations of complex, turbulent flows are more acces…
In-Memory Load Balancing for Discontinuous Galerkin Methods on Polytopal Meshes
Patrick Kopper, Anna Schwarz, Jens Keim +1
High-order accurate discontinuous Galerkin (DG) methods have emerged as powerful tools for solving partial differential equations such as the compressible Navier-Stokes equations d…
Entropy stable high-order discontinuous Galerkin spectral-element methods on curvilinear, hybrid meshes
Jens Keim, Anna Schwarz, Patrick Kopper +3
Hyperbolic-parabolic partial differential equations are widely used for the modeling of complex, multiscale problems. High-order methods such as the discontinuous Galerkin (DG) sch…
Comparison of Entropy Stable Collocation High-Order DG Methods for Compressible Turbulent Flows
Anna Schwarz, Daniel Kempf, Jens Keim +3
High-order methods are well-suited for the numerical simulation of complex compressible turbulent flows, but require additional stabilization techniques to capture instabilities ar…
Invariant Control Strategies for Active Flow Control using Graph Neural Networks
Marius Kurz, Rohan Kaushik, Marcel Blind +4
Reinforcement learning has gained traction for active flow control tasks, with initial applications exploring drag mitigation via flow field augmentation around a two-dimensional c…
Efficient computation of particle-fluid and particle-particle interactions in compressible flow
Anna Schwarz, Patrick Kopper, Emilian De Staercke +1
Particle collisions are the primary mechanism of inter-particle momentum and energy exchange for dense particle-laden flow. Accurate approximation of this collision operator in fou…
GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems
Daniel Kempf, Marius Kurz, Marcel Blind +6
This work presents GALAEXI as a novel, energy-efficient flow solver for the simulation of compressible flows on unstructured meshes leveraging the parallel computing power of moder…
Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI
Marcel Blind, Min Gao, Daniel Kempf +4
Modern high-order discretizations bear considerable potential for the exascale era due to their high fidelity and the high, local computational load that allows for computational e…
A framework for high-fidelity particle tracking on massively parallel systems
Patrick Kopper, Anna Schwarz, Stephen M. Copplestone +3
Particle-laden flows occur in a wide range of disciplines, from atmospheric flows to renewable energy to turbomachinery. They generally pose a challenging environment for the numer…
Hybrid Parallelization of Euler-Lagrange Simulations Based on MPI-3 Shared Memory
Patrick Kopper, Stephen Copplestone, Marcel Pfeiffer +3
The use of Euler-Lagrange methods on unstructured grids extends their application area to more versatile setups. However, the lack of a regular topology limits the scalability of d…
An Efficient Sliding Mesh Interface Method for High-Order Discontinuous Galerkin Schemes
Jakob Dürrwächter, Marius Kurz, Patrick Kopper +3
Sliding meshes are a powerful method to treat deformed domains in computational fluid dynamics, where different parts of the domain are in relative motion. In this paper, we presen…