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 Web of Science (2)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Beaumont, O.
Right arrow Articles by Robert, Y.
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?

Static LU Decomposition on Heterogeneous Platforms

Olivier Beaumont

LIP, UMR CNRS—ENS Lyon—INRIA 5668, Ecole Normale Supérieure de Lyon, France

Arnaud Legrand

LIP, UMR CNRS—ENS Lyon—INRIA 5668, Ecole Normale Supérieure de Lyon, France

Fabrice Rastello

LIP, UMR CNRS—ENS Lyon—INRIA 5668, Ecole Normale Supérieure de Lyon, France

Yves Robert

LIP, UMR CNRS—ENS Lyon—INRIA 5668, Ecole Normale Supérieure de Lyon, France

In this paper, the authors deal with algorithmic issues on heterogeneous platforms. They concentrate on dense linear algebra kernels, such as matrix multiplication or LU decomposition. Block-cyclic distribution techniques used in ScaLAPACK are no longer sufficient to balance the load among processors running at different speeds. The main result of this paper is to provide a static data distribution scheme that leads to an asymptotically perfect load balancing for LU decomposition, thereby providing solid foundations toward the design of a cluster-oriented version of ScaLAPACK.

International Journal of High Performance Computing Applications, Vol. 15, No. 3, 310-323 (2001)
DOI: 10.1177/109434200101500308
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?