Hybrid path-diversity-dominant output selection method for Network-on-Chip systems

Jindun Dai, Wenda Ma, Xin Jiang, Takahiro Watanabe

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Networks-on-Chip (NoCs) offers considerable performance improvement to Chip Multi-Processors (CMPs). As the communication between processors on NoC increases, its system performance faces a severe challenge in congestion issues. Adaptive routing algorithm for NoCs provides a variety of path options, thus, it has fantastic potential to achieve better traffic distribution across the network by avoiding the congested regions. An excellent output selection method can realize the potential of adaptive routing algorithm as highly as possible. Therefore, designing an efficient output selection method is highly desirable. Conventional output selection methods only consider local information (buffer vacancy) or global information (path diversity) separately, which makes them difficult to spread traffic to different paths for load balance. In this paper, we propose an efficient output selection method integrating global information of path diversity and local information of buffer vacancy, to solve congestion problem in NoCs.

元の言語English
ホスト出版物のタイトルProceedings - International SoC Design Conference 2017, ISOCC 2017
出版者Institute of Electrical and Electronics Engineers Inc.
ページ125-126
ページ数2
ISBN(電子版)9781538622858
DOI
出版物ステータスPublished - 2018 5 29
イベント14th International SoC Design Conference, ISOCC 2017 - Seoul, Korea, Republic of
継続期間: 2017 11 52017 11 8

Other

Other14th International SoC Design Conference, ISOCC 2017
Korea, Republic of
Seoul
期間17/11/517/11/8

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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  • これを引用

    Dai, J., Ma, W., Jiang, X., & Watanabe, T. (2018). Hybrid path-diversity-dominant output selection method for Network-on-Chip systems. : Proceedings - International SoC Design Conference 2017, ISOCC 2017 (pp. 125-126). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISOCC.2017.8368801