# Symbolically generated GPU-based LBM Experimental generation of OpenCL kernels using SymPy, Mako and PyOpenCL. * Implements a straight forward AB pattern * All memory offsets are statically resolved * 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: | GPU | Bandwidth | D2Q9 |   | D3Q19 |   | D3Q27 |   | | ------ | ----------- | ------ | ------ | ------ | ------ | ------ | ------ | |   |   | single | double | single | double | single | double | | K2200 | 63.2 GiB/s | 893 | 459 | 435 | 220 | 308 | 156 | | P100 | 512.6 GiB/s | 7242 | 3719 | 3528 | 1787 | 2502 | 1262 | ### Maximum measured performance... | GPU | D2Q9 |   | D3Q19 |   | D3Q27 |   | | ------ | ------ | ------ | ------ | ------ | ------ | ------ | |   | single | double | single | double | single | double | | K2200 | 843.4 | 326.4 | 423.2 | 163.8 | 303.0 | 116.0 | | P100 | 6957.4 | 3585.0 | 3420.2 | 1763.8 | 2374.6 | 1259.6 | ### ...relative to theoretical maximum | GPU | D2Q9 |   | D3Q19 |   | D3Q27 |   | | ------ | ------ | ------ | ------ | ------ | ------ | ------ | |   | single | double | single | double | single | double | | K2200 | 94.4% | 71.1% | 97.3% | 74.5% | 98.4% | 74.4% | | P100 | 96.1% | 96.4% | 96.9% | 98.7% | 94.9% | 99.8% | ### CSE impact on P100 | CSE | D2Q9 |   | D3Q19 |   | D3Q27 |   | | ------ | ------ | ------ | ------ | ------ | ------ | ------ | |   | single | double | single | double | single | double | | No | 6957.4 | 2814.4 | 2581.8 | 998.8 | 1576.4 | 647.4 | | Yes | 6922.4 | 3585.0 | 3420.2 | 1763.8 | 2374.6 | 1259.6 | | CSE | D2Q9 |   | D3Q19 |   | D3Q27 |   | | ------ | ------ | ------ | ------ | ------ | ------ | ------ | |   | single | double | single | double | single | double | | No | 96.1% | 75.7% | 73.2% | 55.9% | 63.0% | 51.3% | | Yes | 95.6% | 96.4% | 96.9% | 98.7% | 94.9% | 99.8% | For more details see the `results/` and `notebook/` directories. ## Visualization ![Screenshot of real-time OpenGL visualization](channel_2d_gl_interop.png) `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.