Please use this identifier to cite or link to this item:
Main Title: Traffic Prediction for NoCs using Fuzzy Logic
Author(s): Thomas, Gervin
Juurlink, Ben
Tutsch, Dietmar
Type: Conference Object
Language Code: en
Abstract: Networks on Chip provide faster communication and higher throughput for chip multiprocessor systems than conventional bus systems. Having multiple processing elements on one chip, however, leads to a large number of message transfers in the NoC. The consequence is that more blocking occurs and time and power is wasted with waiting until the congestion is dissolved. With knowledge of future communication patterns, blocking could be avoided. Therefore, in this paper a model is introduced to predict future communication patterns to avoid network congestion. Our model uses a fuzzy based algorithm to predict end-to-end communication. The presented model accurately predictions for up to 10 time intervals for continuous patterns. Communication patterns with non-continuous behaviors, such as fast changes from peak to zero, can also be predicted accurately for the next 1 to 2 time intervals to come. The model is a first step to predict future communication patterns. In addition, some limitations are identified that must be solved in order to improve the model.
Issue Date: 2011
Date Available: 12-Apr-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): networks on chip
end-to-end communication
traffic prediction
MPI application
Proceedings Title: High-performance and hardware-aware computing : proceedings of the Second International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC'11), San Antonio, Texas, USA, February 2011 (in conjunction with HPCA-17)
Editor: Buchty, Rainer
Weiß, Jan-Philipp
Publisher: KIT Scientific Publishing
Publisher Place: Karlsruhe
Page Start: 33
Page End: 40
ISBN: 978-3-86644-626-7
Notes: Proceedings DOI: 10.5445/KSP/1000021732 (
Appears in Collections:FG Architektur eingebetteter Systeme » Publications

Files in This Item:
File Description SizeFormat 
gervin_juurlink_tutsch.pdf2.06 MBAdobe PDFThumbnail

This item is licensed under a Creative Commons License Creative Commons