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If a profitable run is performed we will check if the SCoP seems to be profitable after creation but before e.g., dependence are computed. This is needed as SCoP detection only approximates the actual SCoP representation. In the end this should allow us to be less conservative during the SCoP detection while keeping the compile time in check. llvm-svn: 269074
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.