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We have identi ed symbolic analysis techniques that will improve the e ectiveness o f p arallelizing Fortran compilers, with emphasis upon data dependence analysis. We have done this by comparing the automatically and manually parallelized versions of the Perfect Benchmarks R . T h e t e chniques include: symbolic data dependence tests for nonlinear expressions, c onstraint propagation, array summary information, and run time tests.doi:10.1109/icpp.1994.59 dblp:conf/icpp/BlumeE94 fatcat:dbo4n2zydzhjne2isjfabhsv2u