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hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorBEAUMONT, Olivier
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorEYRAUD-DUBOIS, Lionel
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierHigh-End Parallel Algorithms for Challenging Numerical Simulations [HiePACS]
dc.contributor.authorGUERMOUCHE, Abdou
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorLAMBERT, Thomas
dc.date.accessioned2024-04-04T03:17:16Z
dc.date.available2024-04-04T03:17:16Z
dc.date.created2015-06-15
dc.date.issued2015-10-19
dc.date.conference2015-10-19
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194292
dc.description.abstractEnThe tremendous increase in the size and heterogeneity of supercomputers makes it very difficult to predict the performance of a scheduling algorithm. In this context, relying on purely static scheduling and resource allocation strategies, that make scheduling and allocation decisions based on the dependency graph and the platform description, is expected to lead to large and unpredictable makespans whenever the behavior of the platform does not match the predictions. For this reason, the common practice in most runtime libraries is to rely on purely dynamic scheduling strategies, that make short-sighted scheduling decisions at runtime based on the estimations of the duration of the different tasks on the different available resources and on the state of the machine. In this paper, we consider the special case of Matrix Multiplication, for which a number of static allocation algorithms to minimize the amount of communications have been proposed. Through a set of extensive simulations, we analyze the behavior of static, dynamic, and hybrid strategies, and we assess the possible benefits of introducing more static knowledge and allocation decisions in runtime libraries.
dc.description.sponsorshipSolveurs pour architectures hétérogènes utilisant des supports d'exécution - ANR-13-MONU-0007
dc.language.isoen
dc.source.titleIEEE 27th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2015
dc.subject.enruntime scheduling
dc.subject.enstatic scheduling
dc.subject.endynamic scheduling
dc.subject.enMatrix Multiplication
dc.subject.enhybrid strategies
dc.title.enComparison of Static and Dynamic Resource Allocation Strategies for Matrix Multiplication
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title26th IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2015
bordeaux.countryBR
bordeaux.title.proceedingIEEE 27th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2015
bordeaux.conference.cityFlorianopolis
bordeaux.peerReviewedoui
hal.identifierhal-01163936
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2015-10-23
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01163936v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IEEE%2027th%20International%20Symposium%20on%20Computer%20Architecture%20and%20High%20Performance%20Computing%20(SBAC-PAD),%202015&rft.date=2015-10-19&rft.au=BEAUMONT,%20Olivier&EYRAUD-DUBOIS,%20Lionel&GUERMOUCHE,%20Abdou&LAMBERT,%20Thomas&rft.genre=unknown


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