Performance Comparison of Parallel Programming Environments for Implementing AIAC Algorithms

AIAC algorithms (Asynchronous Iterations Asynchronous Communications) are a particular class of parallel iterative algorithms. Their asynchronous nature makes them more efficient than their synchronous counterparts in numerous cases as has already been shown in previous works. The first goal of this...

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Bibliographic Details
Published in:Journal of supercomputing Vol. 35; no. 3; pp. 227 - 244
Main Authors: Bahi, Jacques M., Contassot-Vivier, Sylvain, Couturier, Raphaël
Format: Journal Article Conference Proceeding
Language:English
Published: Heidelberg Springer 01.03.2006
Springer Verlag
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ISSN:0920-8542, 1573-0484
Online Access:Get full text
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Summary:AIAC algorithms (Asynchronous Iterations Asynchronous Communications) are a particular class of parallel iterative algorithms. Their asynchronous nature makes them more efficient than their synchronous counterparts in numerous cases as has already been shown in previous works. The first goal of this article is to compare several parallel programming environments in order to see if there is one of them which is best suited to efficiently implement AIAC algorithms. The main criterion for this comparison consists in the performances achieved in a global context of grid computing for two classical scientific problems. Nevertheless, we also take into account two secondary criteria which are the ease of programming and the ease of deployment. The second goal of this study is to extract from this comparison the important features that a parallel programming environment must have in order to be suited for the implementation of AIAC algorithms.
ISSN:0920-8542
1573-0484
DOI:10.1007/s11227-006-4667-8