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06ed529205
Add statistics about - Which optimizations are applied - Number of loops in Scops at various stages - Number of scalar/singleton writes at various stages representative for scalar false dependencies - Number of parallel loops These will be useful to find regressions due to moving Polly further down of LLVM's pass pipeline. Differential Revision: https://reviews.llvm.org/D37049 llvm-svn: 311553
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.