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High Performance Computer
Large-scale Problem
Programming Environment
Nas Parallel Benchmarks
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High performance computing using ProActive environment and the asynchronous iteration model
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High performance computing using ProActive environment and the asynchronous iteration model
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Raphaël Couturier
,
David Laiymani
,
Sébastien Miquée
This paper presents a new library for the ProActive environment, called AIL-PA (asynchronous iterative library for ProActive). This new library allows to execute programs for solving
large scale
problems on various architectures. Two models of algorithm can be used: the synchronous iteration model which is efficient on single clusters; the asynchronous iteration model which is more efficient on distributed clusters. Both approaches are tested on both architectures, using Kernel CG of the
NAS Parallel Benchmarks
on the Grid'5000 platform. These tests also allow us to compare ProActive with AIL-PA and with the Jace programming environment. The results show that the asynchronous iteration model with AIL-PA is more efficient on distributed clusters than the synchronous iteration model. Moreover, these experiments also show that AIL-PA does not involve additional overhead to ProActive.
Conference:
International Parallel and Distributed Processing Symposium/International Parallel Processing Symposium - IPDPS(IPPS)
, pp. 1-7, 2009
DOI:
10.1109/IPDPS.2009.5161086
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(3)
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(
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S. R. H. Hoole
Journal:
IEEE Transactions on Magnetics - IEEE TRANS MAGN
, vol. 27, no. 5, pp. 4146-4149, 1991
On the parallelization of blocked LU factorization algorithms on distributed memory architectures
(
Citations: 10
)
Gregor von Laszewski
,
Manish Parashar
,
A. Gaber Mohamed
,
Geoffrey C. Fox
Conference:
Supercomputing Conference - SC
, pp. 170-179, 1992
Jace: A Java Environment for Distributed Asynchronous Iterative Computations
(
Citations: 16
)
Jacques M. Bahi
,
Stéphane Domas
,
Kamel Mazouzi
Conference:
Parallel, Distributed and Network-Based Processing
, pp. 350-357, 2004