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Data dependence analysis on multi-dimensional array references

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Published:01 June 1989Publication History

ABSTRACT

An efficient and precise data dependence analysis is the key to the success of a parallelizing compiler because it is required in almost all phases of the parallelism detection and enhancement in such compilers. However, existing test algorithms are quite weak in analyzing multi-dimensional array references, which are usually where the parallelism is in most programs.

In this paper, a new algorithm, called λ-test, is presented for an efficient and accurate data dependence analysis on multi-dimensional array references. It achieves high efficiency and high accuracy at the same time, which is in general not allowed in previous algorithms. This algorithm has been implemented in Parafrase [Wolf82]. Some experimental results are also presented to show its effectiveness.

References

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            cover image ACM Conferences
            ICS '89: Proceedings of the 3rd international conference on Supercomputing
            June 1989
            484 pages
            ISBN:0897913094
            DOI:10.1145/318789

            Copyright © 1989 ACM

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            Publication History

            • Published: 1 June 1989

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