SSCRAP: An Environment for Coarse Grained Algorithms
Identifieur interne : 007F22 ( Main/Exploration ); précédent : 007F21; suivant : 007F23SSCRAP: An Environment for Coarse Grained Algorithms
Auteurs : Mohamed Essaïdi [France] ; Isabelle Guérin Lassous [France] ; Jens Gustedt [France]Source :
Descripteurs français
- mix :
Abstract
In this paper we present SSCRAP an environment for the development of coarse grained algorithms which is well suited for regular as well as irregular problems. SSCRAP implements the currently known coarse grained models on distributed memory architectures as well as on shared memory architectures. It allows for a high-level algorithm design and handles communication and synchronization aspects efficiently at the same time. By making the communication level transparent for the user it guarantees a good portability. SSCRAP has also a fine execution analysis: users are able to compare efficiency of algorithms and to check the predictability level of the considered theoretical complexity.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</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/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>architectures parallèles</term><term>coarse grained parallel model</term><term>communication interfaces</term><term>complexity analysis</term><term>interfaces de communication</term><term>parallel architectures</term><term>parallèlisme à gros grain</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper we present SSCRAP an environment for the development of coarse grained algorithms which is well suited for regular as well as irregular problems. SSCRAP implements the currently known coarse grained models on distributed memory architectures as well as on shared memory architectures. It allows for a high-level algorithm design and handles communication and synchronization aspects efficiently at the same time. By making the communication level transparent for the user it guarantees a good portability. SSCRAP has also a fine execution analysis: users are able to compare efficiency of algorithms and to check the predictability level of the considered theoretical complexity.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Essaidi, Mohamed" sort="Essaidi, Mohamed" uniqKey="Essaidi M" first="Mohamed" last="Essaïdi">Mohamed Essaïdi</name></region><name sortKey="Guerin Lassous, Isabelle" sort="Guerin Lassous, Isabelle" uniqKey="Guerin Lassous I" first="Isabelle" last="Guérin Lassous">Isabelle Guérin Lassous</name><name sortKey="Gustedt, Jens" sort="Gustedt, Jens" uniqKey="Gustedt J" first="Jens" last="Gustedt">Jens Gustedt</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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