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author | Adrian Kummerlaender | 2019-10-21 18:42:24 +0200 |
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committer | Adrian Kummerlaender | 2019-10-21 18:48:38 +0200 |
commit | 82a44e0d64afb8818ea98d68dc08108885d503c2 (patch) | |
tree | 6e8f08acd83b2886cd296ed3831acc83e309906c /boltzgen/lbm/model/D3Q7.py | |
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Pull in basics from symlbm_playground
It's time to extract the generator-part of my GPU LBM playground and turn it
into a nice reusable library. The goal is to produce a framework that can be
used to generate collision and streaming programs from symbolic descriptions.
i.e. it should be possible to select a LB model, the desired boundary
conditions as well as a data structure / streaming model and use this
information to automatically generate matching OpenCL / CUDA / C++
programs.
Diffstat (limited to 'boltzgen/lbm/model/D3Q7.py')
-rw-r--r-- | boltzgen/lbm/model/D3Q7.py | 18 |
1 files changed, 18 insertions, 0 deletions
diff --git a/boltzgen/lbm/model/D3Q7.py b/boltzgen/lbm/model/D3Q7.py new file mode 100644 index 0000000..04e16a3 --- /dev/null +++ b/boltzgen/lbm/model/D3Q7.py @@ -0,0 +1,18 @@ +from sympy import * + +q = 7 +d = 3 + +c = [ Matrix(x) for x in [ + ( 0, 0, 1), + ( 0, 1, 0), (-1, 0, 0), ( 0, 0, 0), ( 1, 0, 0), ( 0, -1, 0), + ( 0, 0,-1) +]] + +w = [Rational(*x) for x in [ + (1,8), + (1,8), (1,8), (1,4), (1,8), (1,8), + (1,8) +]] + +c_s = sqrt(Rational(1,4)) |