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hal.structure.identifierLaboratoire de l'Informatique du Parallélisme [LIP]
dc.contributor.authorDESPREZ, Frédéric
hal.structure.identifierPervasive Technology Institute [Bloomington]
dc.contributor.authorFOX, Geoffrey
hal.structure.identifierEfficient runtime systems for parallel architectures [RUNTIME]
dc.contributor.authorJEANNOT, Emmanuel
hal.structure.identifierArgonne National Laboratory [Lemont] [ANL]
dc.contributor.authorKEAHEY, Kate
hal.structure.identifierINTEL
dc.contributor.authorKOZUCH, Michael
hal.structure.identifierDesign and Implementation of Autonomous Distributed Systems [MYRIADS]
dc.contributor.authorMARGERY, David
hal.structure.identifierLaboratoire d'Informatique de Grenoble [LIG]
hal.structure.identifierPrograMming and scheduling design fOr Applications in Interactive Simulation [MOAIS]
dc.contributor.authorNEYRON, Pierre
hal.structure.identifierAlgorithms for the Grid [ALGORILLE]
dc.contributor.authorNUSSBAUM, Lucas
hal.structure.identifierAlgorithms and Software Architectures for Distributed and HPC Platforms [AVALON]
dc.contributor.authorPÉREZ, Christian
hal.structure.identifierLaboratoire d'Informatique de Grenoble [LIG]
hal.structure.identifierMiddleware efficiently scalable [MESCAL]
dc.contributor.authorRICHARD, Olivier
hal.structure.identifierTexas Advanced Computing Center
dc.contributor.authorSMITH, Warren
hal.structure.identifierPervasive Technology Institute [Bloomington]
dc.contributor.authorVON LASZEWSKI, Gregor
hal.structure.identifierInformation Sciences Institute [California]
dc.contributor.authorVÖCKLER, Jens
dc.date.accessioned2024-04-15T09:45:02Z
dc.date.available2024-04-15T09:45:02Z
dc.date.issued2012-03-30
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/197888
dc.description.abstractEnThe ability to conduct consistent, controlled, and repeatable large-scale experiments in all areas of computer science related to parallel, large-scale, or distributed computing and networking is critical to the future and development of computer science. Yet conducting such experiments is still too often a challenge for researchers, students, and practitioners because of the unavailability of dedicated resources, inability to create controlled experimental conditions, and variability in software. Availability, repeatability, and open sharing of electronic products are all still difficult to achieve. To discuss those challenges and share experiences in their solution, the Workshop on Experimental Support for Computer Science brought together scientists involved in building and operating infrastructures dedicated to supporting computer science experiments to discuss challenges and solutions in this space. The workshop was held in November 2011 and was collocated with the SC11 conference in Seattle, Wash. Our objectives were to share experiences and knowledge related to supporting large-scale experiments conducted on experimental infrastructures, understand user requirements, and discuss methodologies and opportunities created by emerging technologies. This report ties together the workshop presentations and discussion and the consensus that emerged on the state of the field and directions for moving forward.
dc.language.isoen
dc.typeRapport
dc.subject.halInformatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.type.reportrr
hal.identifierhal-00720815
hal.version1
hal.audienceNon spécifiée
dc.title.itSupporting Experimental Computer Science
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00720815v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2012-03-30&rft.au=DESPREZ,%20Fr%C3%A9d%C3%A9ric&FOX,%20Geoffrey&JEANNOT,%20Emmanuel&KEAHEY,%20Kate&KOZUCH,%20Michael&rft.genre=unknown


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