be483ae665
Piecewise affine expressions have directly corresponding mathematical operators. Introduce these operators as overloads as this makes writing code with isl::pw_aff expressions more directly readable. We can now write: A = B + C instead of A = B.add(C) Reviewers: Meinersbur, bollu, sebpop Reviewed By: Meinersbur Subscribers: philip.pfaffe, pollydev, llvm-commits Differential Revision: https://reviews.llvm.org/D45534 llvm-svn: 329880 |
||
|---|---|---|
| .. | ||
| cmake | ||
| docs | ||
| include/polly | ||
| lib | ||
| test | ||
| tools | ||
| unittests | ||
| utils | ||
| www | ||
| .arcconfig | ||
| .arclint | ||
| .gitattributes | ||
| .gitignore | ||
| CMakeLists.txt | ||
| CREDITS.txt | ||
| LICENSE.txt | ||
| README | ||
README
Polly - Polyhedral optimizations for LLVM ----------------------------------------- http://polly.llvm.org/ Polly uses a mathematical representation, the polyhedral model, to represent and transform loops and other control flow structures. Using an abstract representation it is possible to reason about transformations in a more general way and to use highly optimized linear programming libraries to figure out the optimal loop structure. These transformations can be used to do constant propagation through arrays, remove dead loop iterations, optimize loops for cache locality, optimize arrays, apply advanced automatic parallelization, drive vectorization, or they can be used to do software pipelining.