High-order numerical methods for unstructured grids combine the superior accuracy of high-
order spectral or finite difference methods with the geometric flexibility of low-order finite …

Programming and optimizing complex, real-world CFD codes on current many-core
accelerated HPC systems is very challenging, especially when collaborating CPUs and …

PyFR is an open-source high-order accurate computational fluid dynamics solver for
unstructured grids. In this paper we detail how PyFR has been extended to run on mixed …

Graphics processing units (GPUs) have a strong floating‐point capability and a high memory
bandwidth in data parallelism and have been widely used in high‐performance computing …

In this work we present ZEFR, a GPU accelerated flow solver based around the high-order
accurate flux reconstruction (FR) approach. Written in a combination of C++ and CUDA …

Computational fluid dynamics can be used to gain deeper insight into compressible flow
physics, but current limitations in numerical methods, computing hardware, data analysis …

In this study, a significant emphasis is placed on the extension of high-order Flux
Reconstruction (FR) schemes to cater to high-speed flows, specifically those involving high …

The present paper addresses the development and implementation of the first high-order
Flux Reconstruction (FR) solver for high-speed flows within the open-source COOLFluiD …

This work presents the development of the first high-order Flux Reconstruction (FR) solver
for flows governed by the compressible Reynolds-Averaged Navier-Stokes (RANS) …

A Godunov's type unstructured finite volume method suitable for highly compressible
turbulent scale-resolving simulations around complex geometries is constructed by using a …