Chip Multiprocessor Traffic Models Providing Consistent Multicast and Spatial Distributions

dc.contributor.authorTutsch, Dietmar
dc.contributor.authorLüdtke, Daniel
dc.date.accessioned2019-01-08T17:55:36Z
dc.date.available2019-01-08T17:55:36Z
dc.date.issued2008
dc.descriptionDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.de
dc.descriptionThis publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.en
dc.description.abstractChip multiprocessors (CMPs) have become the center of attention in recent years. They consist of multiple processor cores on a single chip. These cores are connected on-chip by a bus or, if many cores are involved, by an appropriate network. To investigate how a multicore processor behaves dependent on the chosen network-on-chip topology, a corresponding model must be established for performance evaluation. Modeling and simulating the entire system would lead to high model complexity. Thus, it is more reasonable to exclude the cores and to simply model stochastically the detached network. The cores are replaced by traffic generators which must provide reasonable CMP traffic. It usually consists of multicasts and a particular spatial distribution. Because the traffic is not known exactly, both multicasts and spatial traffic are described as stochastic distributions for model input. The easiest way is to specify the spatial distribution of the traffic and the kind of multicasts independently of each other. However, not all multicast distributions can be achieved with a particular desired spatial distribution and vice versa. It is therefore important to check for the compatibility of the spatial distribution and the multicasts that the modeler is willing to investigate. Such a compatibility check is provided by the algorithm presented in this paper. It prevents inconsistent traffic parameters while modeling.en
dc.identifier.eissn1741-3133
dc.identifier.issn0037-5497
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8951
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8080
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otherstochastic traffic modelingen
dc.subject.othernetwork-on-chipen
dc.subject.othermulticore processoren
dc.subject.othermulticast distributionen
dc.subject.otherspatial traffic distributionen
dc.titleChip Multiprocessor Traffic Models Providing Consistent Multicast and Spatial Distributionsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1177/0037549708091638
dcterms.bibliographicCitation.issue2-3
dcterms.bibliographicCitation.journaltitleSimulation : transactions of The Society for Modeling and Simulation Internationalen
dcterms.bibliographicCitation.originalpublishernameSAGE Publicationsen
dcterms.bibliographicCitation.originalpublisherplaceWashington, DCen
dcterms.bibliographicCitation.pageend73
dcterms.bibliographicCitation.pagestart61
dcterms.bibliographicCitation.volume84
tub.accessrights.dnbdomain
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Technische Informatik und Mikroelektronik::FG Roboticsde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Roboticsde
tub.affiliation.instituteInst. Technische Informatik und Mikroelektronikde
tub.publisher.universityorinstitutionTechnische Universität Berlinde

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