A neural network model for traffic controls in multistage interconnection networks

Nobuo Funabiki, Yoshiyasu Takefuji, Kuo Chun Lee

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Summary form only given, as follows. A neural network model for traffic controls in multistage interconnection networks is discussed. The goal of the neural network model is to find conflict-free traffic flows to be transmitted among given I/O traffic demands in order to maximize the network throughput. The model requires n2 processing elements for the traffic control in an n × n multistage interconnection network. The model runs not only on a sequential machine but also on a parallel machine with maximally n2 processors. The model was verified by solving ten 32 × 32 network problems.

本文言語English
ホスト出版物のタイトルProceedings. IJCNN - International Joint Conference on Neural Networks
編集者 Anon
出版社Publ by IEEE
ページ数1
ISBN(印刷版)0780301641
出版ステータスPublished - 1992 1月 1
外部発表はい
イベントInternational Joint Conference on Neural Networks - IJCNN-91-Seattle - Seattle, WA, USA
継続期間: 1991 7月 81991 7月 12

出版物シリーズ

名前Proceedings. IJCNN - International Joint Conference on Neural Networks

Other

OtherInternational Joint Conference on Neural Networks - IJCNN-91-Seattle
CitySeattle, WA, USA
Period91/7/891/7/12

ASJC Scopus subject areas

  • 工学(全般)

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