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So, B., Moon, S., and Hall, M. W. Measuring the Effectiveness of Automatic Parallelization in SUIF. In ICS'98, Melbourne, Australia, July 1998.

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The Jrpm System for Dynamically Parallelizing Java Programs - Chen, Olukotun (2003)   (1 citation)  (Correct)

....grains of granularity than the Multiscalar architecture. In a similar vein, soffvare based dynamic dependence detection has been proposed for traditional multiprocessor systems as a way to preserve correctness for loops executed in parallel that may have complex dependency patterns [ 18] 36] 37] [39]. There are numerous commercial and research compilers based on array dependence analysis for parallelizing Fortran programs [2] 5] 20] 38] Several studies have looked at how these compilers might be applied to general programs [4] 25] 35] There is a growing body of related work on TLS ....

So, B., Moon, S., and Hall, M. W. Measuring the Effectiveness of Automatic Parallelization in SUIF. In ICS'98, Melbourne, Australia, July 1998.


Cascaded Execution: Speeding Up Unparallelized.. - Anderson, Nguyen.. (1998)   (2 citations)  (Correct)

....loops for which the compiler cannot find a legal or efficient parallel realization. The importance of such unparallelized loops is evidenced indirectly by the continuing intense interest in parallelization techniques, and directly by empirical studies of the effectiveness of current techniques [8, 11, 17, 23, 25]. Whether loops are left unparallelized because of inherently sequential semantics or limitations of the parallelization techniques, Amdahl s law tells us that these sequential code segments are a limiting factor to performance. Thus, our goal is to speed up the execution times of these sequential ....

B. So, S. Moon, and M.W. Hall. Measuring the Effectiveness of Automatic Parallelization in SUIF. In Proceedings of the International Conference on Supercomputing, July 1998.

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