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D. Patel and L. Rauchwerger. Implementation Issues of Loop-Level Speculative Run-Time Parallelization. In 8 Int'l Conference on Compiler Construction, pages 183--197, Amsterdam, The Netherlands, 1999.

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Exploiting Locality in the Run-Time Parallelization.. - Martín, Singh.. (2002)   (Correct)

....memory hierarchy performance. Finally, concluding remarks are given in Section 6. 2. Previous works The methods to parallelize this kind of loops can be basically classified into two major groups: speculative execution and inspector executor strategies. In the speculative execution methods [5] [16], the loop is executed in parallel at the same time that dependences are analyzed. If the analysis determines that the loop is not parallel, the whole computation is rolled back and the loop is executed serially. The main drawback of this strategy is the associated overhead when the loop is not ....

D. Patel and L. Rauchwerger. Implementation Issues of Loop-Level Speculative Run-Time Parallelization. In 8 Int'l Conference on Compiler Construction, pages 183--197, Amsterdam, The Netherlands, 1999.


Techniques for Reducing the Overhead of Run-time Parallelization - Yu, Rauchwerger   Self-citation (Rauchwerger)   (Correct)

....the presence of subscripted subscripts. Although more powerful analysis techniques could remove this last limitation when the index arrays are computed using only statically known values, nothing can be done at compile time when the index arrays are a function of the input data [5, 16, 20] In [12] we have presented the general principles of run time parallelization implementation. Briefly, such run time parallelization can be effective, i.e. obtain a large fraction of the available speedup, by reducing the associated run time overhead. This can be achieved through a careful exploitation ....

D. Patel and L. Rauchwerger. Implementation issues of loop-level speculative run-time parallelization. In Proc. of the 8th Int. Conference on Compiler Construction (CC'99), Amsterdam, The Netherlands. Lecture Notes in Computer Science, Springer-Verlag, March 1999.

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