Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/4262
Title: | Intelligent on/off link management for on-chip networks | Authors: | Savva, Andreas G. Theocharides, Theocharis Soteriou, Vassos |
Major Field of Science: | Engineering and Technology | Field Category: | Computer and Information Sciences | Keywords: | Computer science;Neural networks;Networks on a chip;Hardware;Topology | Issue Date: | 2011 | Source: | 2011 IEEE Computer Society Annual Symposium on VLSI, (ISVLSI), 2011, pp. 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: | https://hdl.handle.net/20.500.14279/4262 | ISBN: | 978-0-7695-4447-2 (online) 978-1-4577-0803-9 (print) |
DOI: | 10.1109/ISVLSI.2011.13 | Rights: | © Copyright 2011 IEEE | Type: | Book Chapter | Affiliation : | Cyprus University of Technology University of Nicosia |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
CORE Recommender
SCOPUSTM
Citations
50
2
checked on Nov 9, 2023
Page view(s) 50
385
Last Week
0
0
Last month
4
4
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.