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An accelerated Cluster-Architecture for the Exascale

dc.contributor.authorEicker, N.
dc.contributor.authorLippert, Th.
dc.date.accessioned2017-12-06T09:06:17Z
dc.date.available2017-12-06T09:06:17Z
dc.date.issued2011
dc.description.abstractClusters are dominating high-performance computing (HPC) today. The success of this architecture is based on the fact that it profits from the improvements provided by main-stream computing well known under the label of Moore's Law. But trying to get to Exascale within this decade might require additional endeavors beyond surfing this technology wave. In order to find a possible direction we review Amdahl's and Gustafson's thoughts on scalability. Based on this analysis we propose an advance architecture combining a Cluster with a so called Booster element comprising of accelerators interconnected by a high-performance fabric. We argue that this architecture provides significant advantages compared to today's accelerated Clusters and might pave the way for Clusters into the era of Exascale computing.en
dc.identifier.doi10.1007/BF03341990
dc.identifier.pissn0177-0454
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/8559
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware: Vol. 28, No. 1
dc.relation.ispartofseriesPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware
dc.subjectGraphical Processing Unit
dc.subjectTOP500 List
dc.subjectCluster Element
dc.subjectParallel Kernel
dc.subjectComplex Kernel
dc.titleAn accelerated Cluster-Architecture for the Exascaleen
dc.typeText/Journal Article
gi.citation.endPage119
gi.citation.startPage110

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