Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
International Journal of High Performance Computing Applications
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Berthou, J.-Y.
Right arrow Articles by Fayolle, E.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Comparing OpenMP, HPF, AND MPI Programming: A Study Case

Jean-Yves Berthou

Electricité de France, Research and Development Division, Modeling and Information Technologies Departement, France

Eric Fayolle

Electricité de France, Research and Development Division, Modeling and Information Technologies Departement, France

This paper presents a comparison of three programming models—OpenMP, HPF, and MPI—applied to a diphasic compressible fluid mechanics code. The parallelization analysis is conducted, and the authors also present the experimental results obtained on various platforms: a Compaq Proliant 6000 (4 processors), a Cray T3E-750 (300 processors), an HP Class V (16 processors), a SGI Origin 2000 (32 processors), a cluster of PCs, and a COMPAQ SC 232 (232 processors). These experimental results will be discussed according to the following criteria: efficiency, scalability, maintainability, developing costs, and portability. As a conclusion, the authors present the parallelization strategy recommended for codes comparable to ECOSS.

International Journal of High Performance Computing Applications, Vol. 15, No. 3, 297-309 (2001)
DOI: 10.1177/109434200101500307


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?