3d76f2ccd3
This makes it easier to read and possibly even modify the test cases, as there is no need to keep the variable increment in steps of one. More importantly, by using explicit variable names we do not need to rely on the implicit numbering of statements when dumping the scop information. This makes it easier to read and possibly even modify the test cases. Furthermore, by using explicit variables we do not need to rely on the implicit numbering of statements when dumping the scop information. In a future commit, this implicit numbering will likely not be used any more to refer to LLVM-IR values as it is very expensive to construct. llvm-svn: 301689 |
||
|---|---|---|
| .. | ||
| 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.