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Communication Dans Un Congrès Année : 2019

New List Skeletons for the Python Skeleton Library

Résumé

Algorithmic skeletons are patterns of parallel computations. Skeletal parallel programming eases parallel programming: a program is merely a composition of such patterns. Data-parallel skeletons operate on parallel data-structures that have often sequential counterparts. In algorithmic skeleton approaches that offer a global view of programs, a parallel program has therefore a structure similar to a sequential program but operates on parallel data-structures. PySke is such an algorithmic skeleton library for Python to program shared or distributed memory parallel architectures in a simple way. This paper presents an extension to PySke: new algorithmic skeletons on parallel lists. This extension is evaluated on an application.
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Dates et versions

hal-02317124 , version 1 (15-10-2019)

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Frédéric Loulergue, Jolan Philippe. New List Skeletons for the Python Skeleton Library. PDCAT 2019: 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, Dec 2019, Gold Coast, Australia. ⟨10.1109/PDCAT46702.2019.00077⟩. ⟨hal-02317124⟩
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