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- W2007693344 abstract "In this paper, we compare three nested loops parallelization algorithms (Allen and Kennedy's algorithm, Wolf and Lam's algorithm and Darte and Vivien's algorithm) that use different representations of distance vectors as input. We study the optimality of each with respect to the dependence analysis it uses. We propose well-chosen examples that illustrate the power and limitations of the three algorithms. This study identifies which algorithm is the most suitable for a given representation of distance vectors." @default.
- W2007693344 created "2016-06-24" @default.
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- W2007693344 date "1997-06-01" @default.
- W2007693344 modified "2023-09-27" @default.
- W2007693344 title "Parallelizing Nested Loops with Approximation of Distance Vectors: A Survey" @default.
- W2007693344 doi "https://doi.org/10.1142/s0129626497000152" @default.
- W2007693344 hasPublicationYear "1997" @default.
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