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A pipelined data-parallel algorithm for ILP

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Figure 4. Example of a pipelined rule search.
Figure 7. A pipelined learn rule procedure.
Table 3. Average execution time (in seconds) observed for 2, 4 , and 8 processors
Table 5 presents the average number of epochs for the three benchmarks. We can notice that in all cases there is a significant reduction in epochs as we increase the number of processors, indicating that we do benefit from running the pipelines in parallel
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