Flexible skeletal programming with eskel

Authors:
Anne Benoit;Murray Cole;Stephen Gilmore;Jane Hillston
Affiliations:
School of Informatics, The University of Edinburgh, Edinburgh, UK;School of Informatics, The University of Edinburgh, Edinburgh, UK;School of Informatics, The University of Edinburgh, Edinburgh, UK;School of Informatics, The University of Edinburgh, Edinburgh, UK
Venue:
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Year:
2005

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Abstract

We present an overview of eSkel, a library for skeletal parallel programming. eSkel aims to maximise the conceptual flexibility afforded by its component skeletons and to facilitate dynamic selection of skeleton compositions. We present simple examples which illustrate these properties, and discuss the implementation challenges which the model poses.