Generation of parallel synchronization-free tiled code

Bielecki, Wlodzimierz; Palkowski, Marek; Skotnicki, Piotr

doi:10.1007/s00607-017-0576-3

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…Analyzing the obtained set, we conclude that there exists a single parametric tile with identifier I I = [2,2]. It includes the following iterations: [5,5], [5,6], [6,1], [6,2], [6,3], [6,4], [6,5], [6,6] }.…”

Section: Card(t I L E_v L D)mentioning

confidence: 94%

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Insight into tiles generated by means of a correction technique

Bielecki

Skotnicki

2018

J Supercomput

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Well-known techniques for tiled code generation are based on the polyhedral model and affine transformations. An alternative approach to generation of tiled code is to correct original rectangular tiles defined for a loop nest by means of the transitive closure of a dependence graph instead of deriving and applying affine transformations. In this paper, we present results of an analysis of basic features of tiles generated due to correction of original rectangular tiles. We introduce procedures which allow us to recognize such features as target tile type (fixed, varied, parametric), dimensionality, size (the number of statement instances within a tile), and loop nest tileability (the percentage of statement instances that can be tiled with rectangular tiles). We consider differences between those features of tiles generated by means of affine transformations and transitive closure. We also discuss results of experiments with PolyBench benchmarks and show how differences in tiles generated with the examined approach and affine transformations affect serial tiled code performance.

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Section: Card(t I L E_v L D)mentioning

confidence: 94%

“…Paper [6] presents how to generate parallel synchronization-free tiled code based on transitive closure and the application of the discussed algorithm to different real-life benchmarks, but it does not provide any analysis of features of target tiles.…”

Section: Related Workmentioning

confidence: 99%