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What is PyFR?

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 1.7.0) 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, Intel Xeon Phi Clusters
  • Spatial Discretisation - High-Order Flux Reconstruction
  • Temporal Discretisation - Explicit and Implicit (via Dual Time-Stepping)
  • Precision - Single, Double
  • Mesh Files Imported - Gmsh (.msh), CGNS (.cgns)
  • Solution Files Exported - Unstructured VTK (.vtu, .pvtu)
Who is Funding PyFR?

Development of PyFR is 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.

Latest Release

PyFR 1.7.0:

  • Added multi-p convergence acceleration for dual time stepping.

Join our Team

Postdoctoral Position - GPU Accelerated High-Order Computational Fluid Dynamics
Summary: A fully funded Postdoctoral position is currently available. The project, will involve development of PyFR, an open-source high-order massively-parallel cross-platform CFD solver, as well as its application to solve a range of challenging unsteady flow problems. Candidates should hold, or expect to obtain, a PhD in a numerate discipline from a world-leading university.