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- W2065559267 abstract "Data dependence analysis is the most essential process while parallelizing a sequential program. Most current data dependence tests cannot handle array subscripts that are non-linear expressions. In this paper, we present a new parallelization algorithm, called non-linear array subscripts (NLA) test, to deal with non-linear or complex array subscripts. In this scheme, the iterations subject to loop-carried dependence are scheduled into different wavefronts, while the iterations with no loop-carried dependence are assigned into the same wavefront. Based on the wavefront information, the original loop is then transformed into parallel code. Our experimental results on shared-memory parallel machines HP SPP2000 and ALR Quad6 prove the high effectiveness of the NLA test." @default.
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- W2065559267 date "2001-06-01" @default.
- W2065559267 modified "2023-09-23" @default.
- W2065559267 title "Non-linear array data dependence test" @default.
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- W2065559267 doi "https://doi.org/10.1016/s0164-1212(00)00124-2" @default.
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