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authorAdrian Kummerlaender2019-10-21 18:42:24 +0200
committerAdrian Kummerlaender2019-10-21 18:48:38 +0200
commit82a44e0d64afb8818ea98d68dc08108885d503c2 (patch)
tree6e8f08acd83b2886cd296ed3831acc83e309906c /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.py18
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))