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New List Skeletons for the Python Skeleton Library

Abstract : 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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Contributor : Frédéric Loulergue <>
Submitted on : Tuesday, October 15, 2019 - 7:07:40 PM
Last modification on : Tuesday, January 5, 2021 - 4:26:08 PM
Long-term archiving on: : Friday, January 17, 2020 - 2:23:52 PM


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  • HAL Id : hal-02317124, version 1


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



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