By Topic

Implementation of Data-Parallel Skeletons: A Case Study Using a Coarse-Grained Hierarchical Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chong Li ; LACL, Univ. Paris-Est, Paris, France ; Gava, F. ; Hains, G.

Writing parallel programs is known to be notoriously difficult. Often programmers do not want to reason about message-passing algorithms and only want to combine existing high-level patterns to produce their parallel program. This is the algorithmic skeletons approach to parallel programming. It improves reliability and clarity of source code. But skeletons can be insufficient when complicated communication schemes are needed. Expressing skeletons in a more general and low level language in the form of a library seems to be a good compromise between simplicity and expressive power. In this article, we present a coarsed-grained implementation using a hierarchical model of a set of data-parallel skeletons. Programming experiments and benchmarks complete the article.

Published in:

Parallel and Distributed Computing (ISPDC), 2012 11th International Symposium on

Date of Conference:

25-29 June 2012