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. This article deals with automatic parallelization of staticcontrol programs. During the parallelization process the removal of artificialdependences is usually realized by translating the original programinto a single assignment form. This total data expansion has a very highmemory cost. We present a technique of partial data expansion whichleaves untouched the performances of the parallelization process, withthe help of algebra techniques given by the polytope model.1 Introduction...

Optimizing storage size for static control programs in automatic parallelizers