NDLI: A new fuzzy input selection technique to increase routing efficiency for Network-On-Chip

Content Provider	IEEE Xplore Digital Library
Author	Nejad, Ebrahim Behrouzian Khademzadeh, Ahmad Badie, Kambiz Rahmani, Amir Masoud Nejad, Mohammad Behrouzian
Copyright Year	2011
Description	Author affiliation: Islamic Azad University-Science and Research Branch (Rahmani, Amir Masoud) \|\| Iran Telecommunication Research Center(ITRC) (Khademzadeh, Ahmad; Badie, Kambiz) \|\| Computer Eng. Dep., Islamic Azad University, Shushtar Branch, shushtar, Iran (Nejad, Ebrahim Behrouzian) \|\| Islamic Azad University-Dezful Branch, Member of Young Researcher Club (YRC) (Nejad, Mohammad Behrouzian) The performance of Network-On-Chip(NOC) largely depends on the underlying routing techniques. A routing technique has two constituencies: output selection and input selection. This paper focuses on the improvement of input selection part. Two traditional input selections have been used in NOC, First-Come-First-Served (FCFS) input selection and Round-Robin input selection. Also, recently a contention-aware input selection (CAIS) technique has been presented for NOC, But there is some problem and defects in this technique. In this paper we eliminate the problems and defects of CAIS technique to develop a simple yet effective input selection technique named FCAIS. When there are contentions of multiple input channels competing for the same output channel, FCAIS decides which input channel obtains the access depending on the two parameters :contention level of the upstream switches and AGE of the all input channels. In this scheme each switch selects one of the input channels with highest priority, which is calculated by a fuzzy controller. The simulation results with different traffic patterns show that FCAIS can achieves better performance than the FCFS and CAIS input selections, when combined with either deterministic or adaptive output selection.
Starting Page	1
Ending Page	6
File Size	1148749
Page Count	6
File Format	PDF
ISBN	9781457707308
e-ISBN	9789644634284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-17
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	AmirKabir Univ of Tech
Subject Keyword	Fuzzy logic Computer aided instruction Fuzzy control Traffic control Routing Fuzzy Control System System-on-a-chip Network-On-Chip Input Selection
Content Type	Text
Resource Type	Article

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