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 test bed 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 prediction results at low modeling effort. Different DSPN modeling aspects in terms of accuracy and computational effort are discussed.
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References
Jantsch, A., Tenhunen, H.: Networks on Chip. Kluwer Academic Publishers, Dordrecht (2003)
Nurmi, J., Tenhunen, H., Isoaho, J., Jantsch, A.: Interconnect Centric Design for Advanced SoC and NoC. Kluwer Academic Publishers, Dordrecht (2004)
Kogel, T., Doerper, M., Wieferink, A., Leupers, R., Ascheid, G., Meyr, H., Goossens, S.: A modular simulation framework for architectural exploration of on-chip interconnection networks. In: CODES+ISSS, pp. 7–12 (2003)
Madsen, J., Mahadevan, S., Virk, K.: Network-centric system-level model for multiprocessor soc simulation. In: Nurmi, J. (ed.) Interconnect Centric Design for Advanced SoC and NoC, Kluwer Academic Publishers, Dordrecht (2004)
Lahiri, K., Raghunathan, A., Dey, S.: System-level performance analysis for designing on-chip communication architectures. IEEE Trans. on CAD of Integrated Circuits and Systems 20, 768–783 (2001)
Plosila, J., Seceleanu, T., Sere, K.: Network-centric system-level model for multiprocessor soc simulation. In: Nurmi, J. (ed.) Interconnect Centric Design for Advanced SoC and NoC. Kluwer Academic Publishers, Dordrecht (2004)
Mickle, M.H.: Transient and steady-state performance modeling of parallel processors. Applied Mathematical Modelling 22, 533–543 (1998)
Kleinrock, L.: Queueing Systems, vol. 1. John Wiley and Sons, Chichester (1975)
Blume, H., von Sydow, T., Noll, T.G.: Performance analysis of soc communication by application of deterministic and stochastic petri nets. In: Pimentel, A.D., Vassiliadis, S. (eds.) SAMOS 2004. LNCS, vol. 3133, pp. 484–493. Springer, Heidelberg (2004)
Ciardo, G., Charkasova, L., Kotov, V., Rokicki, T.: Modeling a scalable high-speed interconnect with stochastic petri nets. In: Proc. of the Sixth International Workshop on Petri Nets and Performance Models PNPM 1995, pp. 83–94 (1995)
Altera: Nios Embedded Processor Software Development Reference Manual (2001)
Lindemann, C.: Performance Modeling with Deterministic and Stochastic Petri Nets. John Wiley and Sons, Chichester (1998)
Petri net tools data base (2004), http://www.daimi.au.dk/PetriNets
DSPNexpress (2003), http://www.dspnexpress.de
Altera: Avalon: Bus specification manual (2003), http://www.altera.com/literature/manual/mnl_avalon_bus.pdf
Altera: SOPC Builder (2004), http://www.altera.com/products/software/products/sopc/sop-index.html
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Blume, H., von Sydow, T., Becker, D., Noll, T.G. (2005). Modeling NoC Architectures by Means of Deterministic and Stochastic Petri Nets. In: Hämäläinen, T.D., Pimentel, A.D., Takala, J., Vassiliadis, S. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2005. Lecture Notes in Computer Science, vol 3553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11512622_40
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DOI: https://doi.org/10.1007/11512622_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26969-4
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