Checkpoint
Crin
Racine
Checkpoint
Crin
Exploration
Accueil
Racine
Racine

Serveur d'exploration sur la recherche en informatique en Lorraine

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

A Data-Parallel Implementation of the Gauss-Seidel Iteration Method Applied to the Sliding Box Problem

Identifieur interne : 001A10 ( Crin/Checkpoint ); précédent : 001A09; suivant : 001A11

A Data-Parallel Implementation of the Gauss-Seidel Iteration Method Applied to the Sliding Box Problem

Auteurs : Jacques Jaray ; Olivier Galibert

Source :

RBID : CRIN:jaray00a

English descriptors

Abstract

The data-parallel programming is convenient for numerical computation dealing with data collections like arrays. Physicists use very efficient sequential programs to simulate physical processes, but such programs can not be easily adapted to parallel architectures. The Gauss-Seidel fix point computation is an example. This paper aims at showing how data-parallel modeling and programming helps in redesigning sequential programs for an efficient parallel implementation whatever the parallel architecture is.

Links toward previous steps (curation, corpus...)

Links to Exploration step

CRIN:jaray00a

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" wicri:score="379">A Data-Parallel Implementation of the Gauss-Seidel Iteration Method Applied to the Sliding Box Problem</title>
</titleStmt>
<publicationStmt>
<idno type="RBID">CRIN:jaray00a</idno>
<date when="2000" year="2000">2000</date>
<idno type="wicri:Area/Crin/Corpus">002958</idno>
<idno type="wicri:Area/Crin/Curation">002958</idno>
<idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">002958</idno>
<idno type="wicri:Area/Crin/Checkpoint">001A10</idno>
<idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">001A10</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">A Data-Parallel Implementation of the Gauss-Seidel Iteration Method Applied to the Sliding Box Problem</title>
<author>
<name sortKey="Jaray, Jacques" sort="Jaray, Jacques" uniqKey="Jaray J" first="Jacques" last="Jaray">Jacques Jaray</name>
</author>
<author>
<name sortKey="Galibert, Olivier" sort="Galibert, Olivier" uniqKey="Galibert O" first="Olivier" last="Galibert">Olivier Galibert</name>
</author>
</analytic>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>data-parallel programming</term>
<term>finite volume method.</term>
<term>gauss-seidel</term>
<term>optimized communication</term>
<term>spmd</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en" wicri:score="1496">The data-parallel programming is convenient for numerical computation dealing with data collections like arrays. Physicists use very efficient sequential programs to simulate physical processes, but such programs can not be easily adapted to parallel architectures. The Gauss-Seidel fix point computation is an example. This paper aims at showing how data-parallel modeling and programming helps in redesigning sequential programs for an efficient parallel implementation whatever the parallel architecture is.</div>
</front>
</TEI>
<BibTex type="techreport">
<ref>jaray00a</ref>
<crinnumber>A00-R-085</crinnumber>
<category>15</category>
<equipe>MODEL</equipe>
<author>
<e>Jaray, Jacques</e>
<e>Galibert, Olivier</e>
</author>
<title>A Data-Parallel Implementation of the Gauss-Seidel Iteration Method Applied to the Sliding Box Problem</title>
<year>2000</year>
<type>Rapport de recherche</type>
<month>Apr</month>
<note>En préparation pour soumission à PPL.</note>
<keywords>
<e>spmd</e>
<e>data-parallel programming</e>
<e>gauss-seidel</e>
<e>optimized communication</e>
<e>finite volume method.</e>
</keywords>
<abstract>The data-parallel programming is convenient for numerical computation dealing with data collections like arrays. Physicists use very efficient sequential programs to simulate physical processes, but such programs can not be easily adapted to parallel architectures. The Gauss-Seidel fix point computation is an example. This paper aims at showing how data-parallel modeling and programming helps in redesigning sequential programs for an efficient parallel implementation whatever the parallel architecture is.</abstract>
</BibTex>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Crin/Checkpoint

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001A10 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Crin/Checkpoint/biblio.hfd -nk 001A10 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Crin
   |étape=   Checkpoint
   |type=    RBID
   |clé=     CRIN:jaray00a
   |texte=   A Data-Parallel Implementation of the Gauss-Seidel Iteration Method Applied to the Sliding Box Problem
}}
Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Mon Jun 10 21:56:28 2019. Site generation: Fri Feb 25 15:29:27 2022