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| -rw-r--r-- | README.md | 10 |
1 files changed, 8 insertions, 2 deletions
@@ -7,8 +7,6 @@ Experimental generation of OpenCL kernels using SymPy, Mako and PyOpenCL. * Underlying symbolic formulation is optimized using CSE * Characteristic constants of D2Q9 and D3Q27 are transparently recovered using only discrete velocities - - ## Performance Theoretical maximum performance on tested hardware: @@ -50,3 +48,11 @@ Theoretical maximum performance on tested hardware: | Yes | 95.6% | 96.4% | 96.9% | 98.7% | 94.9% | 99.8% | For more details see the `results/` and `notebook/` directories. + +## Visualization + + + +`cavity_2d_gl_interop.py` and `channel_2d_gl_interop.py` implement basic real-time visualization of the velocity field. + +See [symlbmgpu_channel_with_obstacles](http://static.kummerlaender.eu/media/symlbmgpu_channel_with_obstacles.mp4) (MP4, 25 MiB) for a short recording of how this looks. |