Optimizing storage size for static control programs in automatic parallelizers

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Abstract

TMs article deals with automatic parallelization of static control programs. The removal of memory related dependences is usually realized by translating the original program into a single assignment form. This total data expansion has a very high memory cost. We present a technique of partial data expansion for global memory architectures which leaves untouched the performances of the parallelization process.

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Lefebvre, V., & Feautrier, P. (1997). Optimizing storage size for static control programs in automatic parallelizers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1300 LNCS, pp. 356–363). Springer Verlag. https://doi.org/10.1007/bfb0002757

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