PyFR: An open source framework for solving advection–diffusion type problems on streaming architectures using the flux reconstruction approach
Description of this data
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 volume or finite element schemes. The Flux Reconstruction (FR) approach unifies various high-order schemes for unstructured grids within a single framework. Additionally, the FR approach exhibits a significant degree of element locality, and is thus able to run efficiently on modern streaming architectures, suc...
Title of program: PyFR v0.1.0
Catalogue Id: AETY_v1_0
Nature of problem
Compressible Euler and Navier-Stokes equations of fluid dynamics; potential for any advection-diffusion type problem.
Versions of this program held in the CPC repository in Mendeley Data
AETY_v1_0; PyFR v0.1.0; 10.1016/j.cpc.2014.07.011
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
Experiment data files
This data is associated with the following publication:
Cite this dataset
Witherden, F.D.; Farrington, A.M.; Vincent, P.E. (2019), “PyFR: An open source framework for solving advection–diffusion type problems on streaming architectures using the flux reconstruction approach ”, Mendeley Data, v1 http://dx.doi.org/10.17632/xxs4x5szb2.1
The files associated with this dataset are licensed under a CPC_SPECIAL licence.