Application of deterministic and stochastic Petri-Nets for performance modeling of NoC architectures

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  • RWTH Aachen University
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Original languageEnglish
Pages (from-to)466-476
Number of pages11
JournalJournal of Systems Architecture
Volume53
Issue number8
Publication statusPublished - 21 Dec 2006
Externally publishedYes

Abstract

The design of appropriate communication architectures for complex Systems-on-Chip (SoC) is a challenging task. One promising alternative to solve these problems are Networks-on-Chip (NoCs). Recently, the application of deterministic and stochastic Petri-Nets (DSPNs) to model on-chip communication has been proven to be an attractive method to evaluate and explore different communication aspects. In this contribution the modeling of basic NoC communication scenarios featuring different processor cores, network topologies and communication schemes is presented. In order to provide a testbed for the verification of modeling results a state-of-the-art FPGA-platform has been utilized. This platform allows to instantiate a soft-core processor network which can be adapted in terms of communication network topologies and communication schemes. It will be shown that DSPN modeling yields good communication performance prediction results at low modeling effort. Different DSPN modeling aspects in terms of accuracy and computational effort are discussed.

Keywords

    Deterministic and stochastic Petri-Nets, NoC, On-chip communication, Performance Modeling, SoC

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Cite this

Application of deterministic and stochastic Petri-Nets for performance modeling of NoC architectures. / Blume, H.; von Sydow, T.; Becker, D. et al.
In: Journal of Systems Architecture, Vol. 53, No. 8, 21.12.2006, p. 466-476.

Research output: Contribution to journalArticleResearchpeer review

Blume H, von Sydow T, Becker D, Noll TG. Application of deterministic and stochastic Petri-Nets for performance modeling of NoC architectures. Journal of Systems Architecture. 2006 Dec 21;53(8):466-476. doi: 10.1016/j.sysarc.2006.11.001
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AU - von Sydow, T.

AU - Becker, D.

AU - Noll, T. G.

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