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UVaDOC author Llanos Ferraris, Diego Rafael author Orden, David author Palop del Río, Belén 2024-10-04T15:14:34Z 2024-10-04T15:14:34Z 2007 IEEE Transactions on Computers, vol. 56, no. 6, pp. 839-852, June 2007, ISSN 0018-9340. 0018-9340 https://uvadoc.uva.es/handle/10324/70439 10.1109/TC.2007.1030 839 6 852 IEEE Transactions on Computers 56 In this work, we address the problem of scheduling loops with dependences in the context of speculative parallelization. We show that the scheduling alternatives are highly influenced by the dependence violation pattern the code presents. We center our analysis in those algorithms where dependences are less likely to appear as the execution proceeds. Particularly, we focus on randomized incremental algorithms, widely used as a much more efficient solution to many problems than their deterministic counterparts. These important algorithms are, in general, hard to parallelize by hand and represent a challenge for any automatic parallelization scheme. Our analysis led us to the development of MESETA, a new scheduling strategy that takes into account the probability of a dependence violation to determine the number of iterations being scheduled. MESETA is compared with existing techniques, including fixed-size chunking (FSC), the only scheduling alternative used so far in the context of speculative parallelization. Our experimental results show a 5.5 percent to 36.25 percent speedup improvement over FSC, leading to a better extraction of the parallelism inherent to randomized incremental algorithms. Moreover, when the cost of dependence violations is too high to obtain speedups, MESETA curves the performance degradation. eng Informática New Scheduling Strategies for Randomized Incremental Algorithms in the Context of Speculative Parallelization info:eu-repo/semantics/article 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URL https://uvadoc.uva.es/bitstream/10324/70439/1/New_Scheduling_Strategies_for_Randomized_Incremental_Algorithms_in_the_Context_of_Speculative_Parallelization.pdf File MD5 40da7abe79118df3a1c536b8a57aa337 3938479 application/pdf New_Scheduling_Strategies_for_Randomized_Incremental_Algorithms_in_the_Context_of_Speculative_Parallelization.pdf