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Polaris: Improving the effectiveness of parallelizing compilers


Author(s) : Lawrence Rauchwerger William Pottenger David Padua Jay Hoeflinger John Grout Keith Faigin Rudolf Eigenmann William Blume Peng Tu Stephen Weatherford, 
Publisher : N/A
Publication Date : 1994
ISSN : N/A
Abstract : Abstract. It is the goal of the Polaris project to develop a new parallelizing compiler that will overcome limitations of current compilers. While current parallelizing compilers may succeed on small kernels, they often fail to extract any meaningful parallelism from large applications. After a study of application codes, it was concluded that by adding a few new techniques to current compilers, automatic parallelization becomes possible. The techniques needed are interprocedural analysis, scalar and array privatization, symbolic dependence analysis, and advanced induction and reduction recognition and elimination, along with run-time techniques to allow data dependent behavior. 1,