An efficient data dependence analysis for parallelizing compilers

Author

Li, Zhiyuan ; Yew, Pen-Chung ; Zhu, Chuan-qi

Author_Institution

Dept. of Comput. Sci., York Univ., North York, Ont., Canada

Volume

1

Issue

1

fYear

1990

fDate

1/1/1990 12:00:00 AM

Firstpage

26

Lastpage

34

Abstract

A novel algorithm, called the λ test, is presented for an efficient and accurate data dependence analysis of multidimensional array references. It extends the numerical methods to allow all dimensions of array references to be tested simultaneously. Hence, it combines the efficiency and the accuracy of both approaches. This algorithm has been implemented in Parafrase, a Fortran program parallelization restructurer developed at the University of Illinois at Urbana-Champaign. Some experimental results are presented to show its effectiveness

Keywords

FORTRAN; parallel programming; program compilers; λ test; Fortran program parallelization restructurer; Parafrase; array subscripts; convex set; data dependence analysis; hyperplanes; linear inequalities; loop bounds; multidimensional array references; numerical methods; parallelizing compilers; program restructuring; Algorithm design and analysis; Data analysis; Linear programming; Linear systems; Log periodic antennas; Multidimensional systems; Phase detection; Program processors; Sufficient conditions; Testing;

fLanguage

English

Journal_Title

Parallel and Distributed Systems, IEEE Transactions on

Publisher

ieee

ISSN

1045-9219

Type

jour

DOI

10.1109/71.80122

Filename

80122