"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."
There are backends for CUDA, OpenCL, OpenMP and MIC.
http://pyfr.org/
http://hgpu.org/?p=15147
http://on-demand.gputechconf.com/gtc/2016/presentation/s6329-freddie-witherden-petascale-computational-fluid-dynamics.pdf
PyFR: Next Generation Computational Fluid Dynamics on GPU Platforms - http://on-demand.gputechconf.com/gtc/2015/presentation/S5372-Freddie-Witherden.pdf
PyFR: Technical Challenges of Bringing Next Generation Computational Fluid Dynamics to GPU Platforms - http://on-demand.gputechconf.com/gtc/2014/presentations/S4649-pyfr-tech-challenges-cfd-gpu-platforms.pdf
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