PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. The current release (PyFR 2.0.3) has the following capabilities:

• Governing Equations - Euler, Navier Stokes
• Dimensionality - 2D, 3D
• Element Types - Triangles, Quadrilaterals, Hexahedra, Prisms, Tetrahedra, Pyramids
• Platforms - CPU Clusters, Nvidia GPU Clusters, AMD GPU Clusters
• Spatial Discretisation - High-Order Flux Reconstruction
• Temporal Discretisation - Explicit and Implicit (via Dual Time-Stepping)
• Precision - Single, Double
• Mesh Files Imported - Gmsh (.msh)
• Solution Files Exported - Unstructured VTK (.vtu, .pvtu)

The source code is available on Github.

Test cases are available on Github.

Documentation is available on Read the Docs.

You can post a question on Discourses.

You can checkout our PyFR Seminar Series on Cassyni.

Development of PyFR is or has been supported by the Engineering and Physical Sciences Research Council, Innovate UK, the European Commission, BAE Systems, Airbus, and the Air Force Office of Scientific Research. We are also grateful for hardware donations from Nvidia, Intel, and AMD.

To cite PyFR, please reference the following paper:

• PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach. F. D. Witherden, A. M. Farrington, P. E. Vincent. Computer Physics Communications, Volume 185, Pages 3028-3040, 2014.