Abstract
Automatic parallelization of nested loops, based on a mathematical model, the polytope model, has been improved significantly over the last decade: state-of-the-art methods allow flexible distributions of computations in space and time, which lead to high-quality parallelism. However, these methods have not found their way into practical parallelizing compilers due to the lack of code generation schemes which are able to deal with the new-found flexibility. To close this gap is the purpose of this paper.
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