Modeling Algorithmic Skeletons for Automatic Parallelization Using Template Metaprogramming

This article presents a framework for algorithmic skeletons that aims at representing a whole algorithm, both its sequential and possibly parallelizable parts, in order to enable making global decisions about its implementation. With our modeling, a skeleton is described by an algorithmic structure...

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Bibliographic Details

Published in:	2019 International Conference on High Performance Computing & Simulation (HPCS) pp. 265 - 272
Main Authors:	Pereda, Alexis, Hill, David R.C., Mazel, Claude, Bachelet, Bruno
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2019
Subjects:	algorithmic skeletons Bones C++ languages Libraries Muscles parallelization Task analysis task orchestration template metaprogramming
Online Access:	Get full text
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