Development methodologies for GPU and cluster of GPUs
Identifieur interne : 001762 ( Main/Exploration ); précédent : 001761; suivant : 001763Development methodologies for GPU and cluster of GPUs
Auteurs : Sylvain Contassot-Vivier [France] ; Stéphane Vialle [France] ; Jens Gustedt [France]Source :
Abstract
This book chapter proposes to draw several development methodologies to obtain efficient codes in classical scientific applications. Those methodologies are based on the feedback from several research works involving GPUs, either alone in a single machine or in a cluster of machines. Indeed, our past collaborations with industries have allowed us to point out that in their economical context, they can adopt a parallel technology only if its implementation and maintenance costs are small according to the potential benefits (performance, accuracy,...). So, in such contexts, GPU programming is still regarded with some distance according to its specific field of applicability (SIMD/SIMT model) and its still higher programming complexity and maintenance. In the academic domain, things are a bit different but studies for efficiently integrating GPU computations in multi-core clusters with maximal overlapping of computations with communications and/or other computations, are still rare. For these reasons, the major aim of that chapter is to propose as simple as possible general programming patterns that can be followed or adapted in practical implementations of parallel scientific applications. Also, we propose in a third part, a prospect analysis together with a particular programming tool that is intended to ease multi-core GPU cluster programming.
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Gustedt, Jens" sort="Gustedt, Jens" uniqKey="Gustedt J" first="Jens" last="Gustedt">Jens Gustedt</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-205117" status="VALID"><idno type="RNSR">200718299P</idno><orgName>Algorithms for the Grid</orgName><orgName type="acronym">ALGORILLE</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/algorille</ref></desc><listRelation><relation active="#struct-129671" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-423085" type="direct"></relation><relation active="#struct-206040" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-129671" type="direct"><org type="laboratory" xml:id="struct-129671" status="VALID"><idno type="RNSR">198618246Y</idno><orgName>INRIA Nancy - Grand Est</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/nancy</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-423085" type="direct"><org type="department" xml:id="struct-423085" status="VALID"><orgName>Department of Networks, Systems and Services</orgName><orgName type="acronym">LORIA - NSS</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.loria.fr/la-recherche-en/departements/networks-systems-and-services</ref></desc><listRelation><relation active="#struct-206040" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation></org></tutelle><tutelle active="#struct-206040" type="indirect"><org type="laboratory" xml:id="struct-206040" status="VALID"><idno type="IdRef">067077927</idno><idno type="RNSR">198912571S</idno><idno type="IdUnivLorraine">[UL]RSI--</idno><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><date type="start">2012-01-01</date><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-413289" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-413289" type="indirect"><org type="institution" xml:id="struct-413289" status="VALID"><idno type="IdRef">157040569</idno><idno type="IdUnivLorraine">[UL]100--</idno><orgName>Université de Lorraine</orgName><orgName type="acronym">UL</orgName><date type="start">2012-01-01</date><desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This book chapter proposes to draw several development methodologies to obtain efficient codes in classical scientific applications. Those methodologies are based on the feedback from several research works involving GPUs, either alone in a single machine or in a cluster of machines. Indeed, our past collaborations with industries have allowed us to point out that in their economical context, they can adopt a parallel technology only if its implementation and maintenance costs are small according to the potential benefits (performance, accuracy,...). So, in such contexts, GPU programming is still regarded with some distance according to its specific field of applicability (SIMD/SIMT model) and its still higher programming complexity and maintenance. In the academic domain, things are a bit different but studies for efficiently integrating GPU computations in multi-core clusters with maximal overlapping of computations with communications and/or other computations, are still rare. For these reasons, the major aim of that chapter is to propose as simple as possible general programming patterns that can be followed or adapted in practical implementations of parallel scientific applications. Also, we propose in a third part, a prospect analysis together with a particular programming tool that is intended to ease multi-core GPU cluster programming.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Contassot Vivier, Sylvain" sort="Contassot Vivier, Sylvain" uniqKey="Contassot Vivier S" first="Sylvain" last="Contassot-Vivier">Sylvain Contassot-Vivier</name></region><name sortKey="Gustedt, Jens" sort="Gustedt, Jens" uniqKey="Gustedt J" first="Jens" last="Gustedt">Jens Gustedt</name><name sortKey="Vialle, Stephane" sort="Vialle, Stephane" uniqKey="Vialle S" first="Stéphane" last="Vialle">Stéphane Vialle</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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