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The direction vector I test

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3 Author(s)
Psarris, K. ; Dept. of Comput. Sci., Ohio Univ., Athens, OH, USA ; Kong, X. ; Klappholz, D.

The GCD and Banerjee tests are the standard data dependence tests used to determine whether a loop may be parallelized/vectorized. In an earlier work, (1991) the authors presented a new data dependence test, the I test, which extends the accuracy of the GCD and the Banerjee tests. In the original presentation, only the case of general dependence was considered, i.e., the case of dependence with a direction vector of the form (*,*,...,*). In the present work, the authors generalize the I test to check for data dependence subject to an arbitrary direction vector

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:4 ,  Issue: 11 )

Date of Publication:

Nov 1993

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