Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7115
Title: Intelligent on/off link management for on-chip networks
Authors: Savva, Andreas 
Theocharides, Theocharis 
Soteriou, Vassos 
Keywords: Computer science
Neural networks
Networks on a chip
Hardware
Topology
Issue Date: 2011
Publisher: IEEE Xplore
Source: 2011 IEEE Computer Society Annual Symposium on VLSI, (ISVLSI), 2011, Pages 343-344
Abstract: Links connecting on-chip components are a major source of power consumption in modern-day on-chip interconnects. Several efforts have henceforth focused on reducing the power consumption, the majority of which efforts target selected links for turning on and off. In this paper we propose an intelligent power management policy for networks-on-chip where links are turned off and switched back on based on a neural network, which processes link utilization as feedback from the system and determines which links are candidates for turning off and back on. The neural network is kept relatively small in terms of area and power consumption, as it is used to forecast the optimal utilization threshold for which underutilized links are turned off
URI: http://ktisis.cut.ac.cy/handle/10488/7115
ISBN: 978-1-4577-0803-9 (print)
ISSN: 978-0-7695-4447-2 (online)
DOI: 10.1109/ISVLSI.2011.13
Rights: © Copyright 2011 IEEE
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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