Scheduled Maintenance on April 29th, 2016:
IEEE Xplore will be unavailable for approximately 1 hour starting at 11:30 AM EDT. We apologize for the inconvenience.
By Topic

Solving large sparse linear systems in a grid environment using Java

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
$33 $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

2 Author(s)
Raphaël Couturier ; Laboratoire d'Informatique de l'Université de Franche-Comté, IUT Belfort-Montbéliard, Rue Engel Gros, BP 527, 90016, France ; Fabienne Jézéquel

In this paper, we show how to solve large sparse linear systems in a grid environment using the Java language and the MPJ library for communication. We describe a parallel version of the GMRES method which takes into account the sparsity of the matrix for message exchanges among processors. Two implementations are compared: one in Java using MPJ and one in C using MPI. The performance of both codes is also compared with that of the PETSc library. Experiments have been carried out using the GRID'5000 platform, on the one hand, on a local cluster, and, on the other hand, on clusters located in distant geographical sites. It is noticeable that the performance of our solver in Java is comparable to the same solver written in C and also to the PETSc library. Our solver in Java allowed us to solve sparse systems of size up to 2 billions with two geographically distant sites.

Published in:

Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on

Date of Conference:

19-23 April 2010