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The Direction Vector I Test
November 1993 (vol. 4 no. 11)
pp. 1280-1290

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

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Index Terms:
Index Termsdirection vector I test; data dependence tests; Banerjee test; arbitrary direction vector;parallelization; GCD test; parallelism detection; algorithm theory; parallel programming
Citation:
K. Psarris, X. Kong, D. Klappholz, "The Direction Vector I Test," IEEE Transactions on Parallel and Distributed Systems, vol. 4, no. 11, pp. 1280-1290, Nov. 1993, doi:10.1109/71.250105
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