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hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierAlgorithms and high performance computing for grand challenge applications [SCALAPPLIX]
dc.contributor.authorBEAUMONT, Olivier
hal.structure.identifierAlgorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL]
dc.contributor.authorLEGRAND, Arnaud
hal.structure.identifierAlgorithms and Scheduling for Distributed Heterogeneous Platforms [GRAAL]
hal.structure.identifierLaboratoire de l'Informatique du Parallélisme [LIP]
dc.contributor.authorMARCHAL, Loris
hal.structure.identifierRegularity and massive parallel computing [REMAP]
dc.contributor.authorROBERT, Yves
dc.date.accessioned2024-04-15T09:43:52Z
dc.date.available2024-04-15T09:43:52Z
dc.date.issued2004
dc.date.conference2004
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/197798
dc.description.abstractEnWe consider the communications involved by the execution of a complex application deployed on a heterogeneous platform. Such applications extensively use macro-communication schemes, such as multicast operations, where messages are broadcast to a set of predefined targets. We assume that there are a large number of messages to be multicast in pipeline fashion, and we seek to maximize the throughput of the steady-state operation. We target heterogeneous platforms, modeled by a graph where links have different communication speeds. We show that the problem of computing the best throughput for a multicast operation is NP-hard, whereas the best throughput to broadcast a message to every node in a graph can be computed in polynomial time. Thus, we introduce several heuristics to deal with this problem and prove that some of them are approximation algorithms. We perform, simulations to test these heuristics and show that their results are close to a theoretical upper bound on the throughput that we obtain with a linear programming approach.
dc.language.isoen
dc.publisherIEEE Computer Society Press
dc.title.enComplexity Results and Heuristics for Pipelined Multicast Operations on Heterogeneous Platforms
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/ICPP.2004.1327931
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.page267―274
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title2004 International Conference on Parallel Processing (ICPP\'2004)
bordeaux.countryXX
bordeaux.conference.cityUnknown
bordeaux.peerReviewedoui
hal.identifierhal-00789448
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00789448v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2004&rft.spage=267%E2%80%95274&rft.epage=267%E2%80%95274&rft.au=BEAUMONT,%20Olivier&LEGRAND,%20Arnaud&MARCHAL,%20Loris&ROBERT,%20Yves&rft.genre=unknown


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