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Main Title: Chip Multiprocessor Traffic Models Providing Consistent Multicast and Spatial Distributions
Author(s): Tutsch, Dietmar
Lüdtke, Daniel
Type: Article
Language Code: en
Abstract: Chip 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.
Issue Date: 2008
Date Available: 8-Jan-2019
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): stochastic traffic modeling
multicore processor
multicast distribution
spatial traffic distribution
Journal Title: Simulation : transactions of The Society for Modeling and Simulation International
Publisher: SAGE Publications
Publisher Place: Washington, DC
Volume: 84
Issue: 2-3
Publisher DOI: 10.1177/0037549708091638
Page Start: 61
Page End: 73
EISSN: 1741-3133
ISSN: 0037-5497
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This 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.
Appears in Collections:FG Robotics » Publications

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