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This change introduces the actual compute code in the GPU kernels. To ensure all values referenced from the statements in the GPU kernel are indeed available we scan all ScopStmts in the GPU kernel for references to llvm::Values that are not yet covered by already modeled outer loop iterators, parameters, or array base pointers and also pass these additional llvm::Values to the GPU kernel. For arrays used in the GPU kernel we introduce a new ScopArrayInfo object, which is referenced by the newly generated access functions within the GPU kernel and which is used to help with code generation. llvm-svn: 276270 |
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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.