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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/utility/optimizations.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/utility/optimizations.py')
-rw-r--r-- | boltzgen/utility/optimizations.py | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/boltzgen/utility/optimizations.py b/boltzgen/utility/optimizations.py new file mode 100644 index 0000000..93dad09 --- /dev/null +++ b/boltzgen/utility/optimizations.py @@ -0,0 +1,10 @@ +from sympy import * + +from sympy.codegen.rewriting import ReplaceOptim + +expand_square = ReplaceOptim( + lambda e: e.is_Pow and e.exp.is_integer and e.exp == 2, + lambda p: UnevaluatedExpr(Mul(p.base, p.base, evaluate = False)) +) + +custom = [ (expand_square, expand_square) ] + cse_main.basic_optimizations |