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authorAdrian Kummerlaender2019-06-15 20:45:27 +0200
committerAdrian Kummerlaender2019-06-15 20:54:56 +0200
commitd71faec93ec0a55c46810e0d178b2803ee89130c (patch)
tree3c35650637615af20668a5ec7bf974b2c05b248b /simulation.py
parentc43d3f38b6922d36d15e8ba2b6ce17ddb0c75b0a (diff)
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Add support for generating a D3Q19 kernel
Note how this basically required no changes besides generalizing cell indexing and adding the symbolic formulation of a D3Q19 BGK collision step. Increasing the neighborhood communication from 9 to 19 cells leads to a significant performance "regression": The 3D kernel yields ~ 360 MLUPS compared to the 2D version's ~ 820 MLUPS.
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