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


References in zbMATH (referenced in 49 articles , 1 standard article )

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  1. Cicchino, Alexander; Del Rey Fernández, David C.; Nadarajah, Siva; Chan, Jesse; Carpenter, Mark H.: Provably stable flux reconstruction high-order methods on curvilinear elements (2022)
  2. Dzanic, T.; Girimaji, S. S.; Witherden, F. D.: Partially-averaged Navier-Stokes simulations of turbulence within a high-order flux reconstruction framework (2022)
  3. Hamedi, Mohsen; Vermeire, Brian C.: Optimized filters for stabilizing high-order large eddy simulation (2022)
  4. He, Xiaofeng; Wang, Kun; Feng, Yiwei; Lv, Lili; Liu, Tiegang: An implementation of MPI and hybrid OpenMP/MPI parallelization strategies for an implicit 3D DDG solver (2022)
  5. Hu, Ya-Sen; Wan, Zhen-Hua; Ye, Chuang-Chao; Sun, De-Jun; Lu, Xi-Yun: Noise reduction mechanisms for insert-type serrations of the NACA-0012 airfoil (2022)
  6. Jaiswal, Shashank: Non-linear Boltzmann equation on hybrid-unstructured non-conforming multi-domains (2022)
  7. Karbasian, Hamid R.; Vermeire, Brian C.: Gradient-free aerodynamic shape optimization using Large Eddy Simulation (2022)
  8. Al-Salami, Jabir; Kamra, Mohamed M.; Hu, Changhong: A high order flux reconstruction interface capturing method with a phase field preconditioning procedure (2021)
  9. Álvarez-Farré, Xavier; Gorobets, Andrey; Trias, F. Xavier: A hierarchical parallel implementation for heterogeneous computing. Application to algebra-based CFD simulations on hybrid supercomputers (2021)
  10. Cheng, Lidong; Deng, Xi; Xie, Bin; Jiang, Yi; Xiao, Feng: Low-dissipation BVD schemes for single and multi-phase compressible flows on unstructured grids (2021)
  11. Cox, C.; Trojak, W.; Dzanic, T.; Witherden, F. D.; Jameson, A.: Accuracy, stability, and performance comparison between the spectral difference and flux reconstruction schemes (2021)
  12. Frontin, Cory V.; Walters, Gage S.; Witherden, Freddie D.; Lee, Carl W.; Williams, David M.; Darmofal, David L.: Foundations of space-time finite element methods: polytopes, interpolation, and integration (2021)
  13. Ghoreishi, Ramin; Vermeire, Brian C.: Vorticity-based polynomial adaptation for moving and deforming domains (2021)
  14. Horne, Wyatt James; Mahesh, Krishnan: A hardware accelerated unstructured overset method to simulate turbulent fluid flow (2021)
  15. Huynh, H. T.: On explicit discontinuous Galerkin methods for conservation laws (2021)
  16. Iyer, A. S.; Abe, Y.; Vermeire, B. C.; Bechlars, P.; Baier, R. D.; Jameson, A.; Witherden, F. D.; Vincent, P. E.: High-order accurate direct numerical simulation of flow over a MTU-T161 low pressure turbine blade (2021)
  17. Kashi, Aditya; Nadarajah, Sivakumaran: An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids (2021)
  18. Krais, Nico; Beck, Andrea; Bolemann, Thomas; Frank, Hannes; Flad, David; Gassner, Gregor; Hindenlang, Florian; Hoffmann, Malte; Kuhn, Thomas; Sonntag, Matthias; Munz, Claus-Dieter: FLEXI: a high order discontinuous Galerkin framework for hyperbolic-parabolic conservation laws (2021)
  19. Trojak, W.; Witherden, F. D.: A new family of weighted one-parameter flux reconstruction schemes (2021)
  20. Vermeire, Brian C.; Hedayati Nasab, Siavash: Accelerated implicit-explicit Runge-Kutta schemes for locally stiff systems (2021)

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