forked from OSchip/llvm-project
17f01968f1
Summary: When compiling for GPU, one can now choose to compile for OpenCL or CUDA, with the corresponding polly-gpu-runtime flag (libopencl / libcudart). The GPURuntime library (GPUJIT) has been extended with the OpenCL Runtime library for that purpose, correctly choosing the corresponding library calls to the option chosen when compiling (via different initialization calls). Additionally, a specific GPU Target architecture can now be chosen with -polly-gpu-arch (only nvptx64 implemented thus far). Reviewers: grosser, bollu, Meinersbur, etherzhhb, singam-sanjay Reviewed By: grosser, Meinersbur Subscribers: singam-sanjay, llvm-commits, pollydev, nemanjai, mgorny, yaxunl, Anastasia Tags: #polly Differential Revision: https://reviews.llvm.org/D32431 llvm-svn: 302379 |
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| cmake | ||
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| 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.