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Sökning: (db:Swepub) pers:(Lu Zhonghai) pers:(Gao M.) > (2014)

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1.
  • Du, G., et al. (författare)
  • An analytical model for worst-case reorder buffer size of multi-path minimal routing NoCs
  • 2014
  • Ingår i: Proceedings - 2014 8th IEEE/ACM International Symposium on Networks-on-Chip, NoCS 2014. - : IEEE. - 9781479953479 ; , s. 49-56
  • Konferensbidrag (refereegranskat)abstract
    • Reorder buffers are often needed in multi-path routing networks-on-chips (NoCs) to guarantee in-order packet delivery. However, the buffer sizes are usually over-dimensioned, due to lack of worst-case analysis, leading to unnecessary larger area overhead. Based on network calculus, we propose an analysis framework for the worst-case reorder buffer size in multi-path minimal routing NoCs. Experiments with synthetic traffic and an industry case show that our method can effectively explore the traffic splitting space, as well as the mapping effects in terms of reorder buffer size with a maximum improvement of 36.50%.
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2.
  • Zhang, Yuang, et al. (författare)
  • Performance and network power evaluation of tightly mixed SRAM NUCA for 3D Multi-core Network on Chips
  • 2014
  • Ingår i: 2014 IEEE International Symposium on Circuits and Systems (ISCAS). - : IEEE. - 9781479934324 ; , s. 1961-1964
  • Konferensbidrag (refereegranskat)abstract
    • Last level cache (LLC) is crucial for the performance of chip multiprocessors (CMPs), while power is a significant design concern for 3D CMPs. In this paper, we focus on the SRAM-based Non-Uniform Cache Architecture (NUCA) for 3D Multi-core Network-on-Chip (McNoC) systems. A tightly mixed SRAM NUCA for 3D mesh NoC is presented and analyzed. We evaluate the performance and network power with benchmarks based on a full system simulation framework. Experiment results on 16-core 3D NoC systems show that the tightly mixed NUCA could provide up to 31.71% and on average 5.95% performance improvement compared to a base 3D NUCA scheme. The tightly mixed 3D NUCA NoC can reduce network power consumption in 1.07%-15.74% and 9.64% on average compared to a baseline 3D NoCs. Our analysis and experimental results provide a guideline to design efficient 3D NoCs with stacking NUCA.
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  • Resultat 1-2 av 2
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refereegranskat (2)
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Gao, M. (2)
Lu, Zhonghai (2)
Li, L. (1)
Wang, C. (1)
Li, M. (1)
Jantsch, Axel (1)
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Fu, Y. (1)
Du, G. (1)
Zhang, Yuang (1)
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