Latency optimization for NoC design of H.264 decoder based on self-similar traffic modeling

  • Authors:
  • Vu-Duc Ngo;June-Young Chang;Younghwan Bae;Hanjin Cho;Hae-Wook Choi

  • Affiliations:
  • System VLSI Lab, SITI Research Center, School of Engineering, Information and Communications University, Taejon, Korea;Basic Research Laboratory, ETRI, Daejeon, Korea;Basic Research Laboratory, ETRI, Daejeon, Korea;Basic Research Laboratory, ETRI, Daejeon, Korea;System VLSI Lab, SITI Research Center, School of Engineering, Information and Communications University, Taejon, Korea

  • Venue:
  • ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
  • Year:
  • 2007

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Abstract

In this article, we present analytical method to evaluate the NoC design of H.264 decoder's latency based on the self-similar traffic models of all 12 IPs. The traffic models are generated by using the superposition of four 2-state Modulated Markov Poisson Process (MMPP) and the real traced data transaction between IPs. The optimization engine is utilized to automatically allocate IPs on the desired routers to achieve the minimal latency.