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fa03cb7687
This avoid the construction of very large sets and in many cases also keeps the number of parameters low. As a result, we see a compile time reduction from 5 minutes to only slightly above 1 minute for one of our larger test cases. llvm-svn: 311127
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.