Enhanced adaptive thermal-aware routing algorithm for network-on-chip

Routers in 3D NoC are responsible for generating more heat than other components putting an extra strain on the chip cooling cost. Various methods have been suggested to balance temperature distribution, including thermal-aware routing. Thermal-aware adaptive routing is a viable remedy to reduce the...

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Main Author:	Muhammad Kaleem, Muhammad Kaleem
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/102874/1/MuhammadKaleemPSC2022.pdf.pdf
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id	my-utm-ep.102874
record_format	uketd_dc
spelling	my-utm-ep.1028742023-09-26T06:08:49Z Enhanced adaptive thermal-aware routing algorithm for network-on-chip 2022 Muhammad Kaleem, Muhammad Kaleem QA75 Electronic computers. Computer science Routers in 3D NoC are responsible for generating more heat than other components putting an extra strain on the chip cooling cost. Various methods have been suggested to balance temperature distribution, including thermal-aware routing. Thermal-aware adaptive routing is a viable remedy to reduce thermal hotspots by migrating load to the cooler areas of the chip, hence adopting longer and extended paths and suffering from traffic congestion in the network. Furthermore, routing algorithms fetch parameters from neighbouring nodes each time, causing an extra strain on the network. The objective of this study was to have a balance between path length and temperature, reduce the workload on thermally unstable paths and reduce control traffic overhead. This work presented an efficient thermal-aware adaptive routing. The proposed work could adaptively choose the next neighbour at each intermediate node, leading the packet closer to the destination. An effective thermalaware dynamic weighted adaptive routing was also proposed in this study. The dynamic weighted model had considered parameters related to congestion and thermal issues and provided a suitable balanced approach according to the current situation at each node. Furthermore, an interval-based record-keeping mechanism was proposed to record parameters of previously accessed nodes. Therefore, better, efficient and rapid routing decisions could be made. Results obtained from the simulations showed that the proposed routing algorithms had performed a 12-49% improvement in terms of global average delay under various synthetic traffic conditions compared to the state-of-the-art ATAR. The proposed techniques had observed 24-30% lower hop counts and considerable reduction in thermal profiling, along with up to 35-60% more valid records found from the history table compared to existing techniques. Overall, the proposed routing techniques have contributed to finding progressive routing paths and reducing control traffic overhead within the network. 2022 Thesis http://eprints.utm.my/102874/ http://eprints.utm.my/102874/1/MuhammadKaleemPSC2022.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150556 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Muhammad Kaleem, Muhammad Kaleem Enhanced adaptive thermal-aware routing algorithm for network-on-chip
description	Routers in 3D NoC are responsible for generating more heat than other components putting an extra strain on the chip cooling cost. Various methods have been suggested to balance temperature distribution, including thermal-aware routing. Thermal-aware adaptive routing is a viable remedy to reduce thermal hotspots by migrating load to the cooler areas of the chip, hence adopting longer and extended paths and suffering from traffic congestion in the network. Furthermore, routing algorithms fetch parameters from neighbouring nodes each time, causing an extra strain on the network. The objective of this study was to have a balance between path length and temperature, reduce the workload on thermally unstable paths and reduce control traffic overhead. This work presented an efficient thermal-aware adaptive routing. The proposed work could adaptively choose the next neighbour at each intermediate node, leading the packet closer to the destination. An effective thermalaware dynamic weighted adaptive routing was also proposed in this study. The dynamic weighted model had considered parameters related to congestion and thermal issues and provided a suitable balanced approach according to the current situation at each node. Furthermore, an interval-based record-keeping mechanism was proposed to record parameters of previously accessed nodes. Therefore, better, efficient and rapid routing decisions could be made. Results obtained from the simulations showed that the proposed routing algorithms had performed a 12-49% improvement in terms of global average delay under various synthetic traffic conditions compared to the state-of-the-art ATAR. The proposed techniques had observed 24-30% lower hop counts and considerable reduction in thermal profiling, along with up to 35-60% more valid records found from the history table compared to existing techniques. Overall, the proposed routing techniques have contributed to finding progressive routing paths and reducing control traffic overhead within the network.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Muhammad Kaleem, Muhammad Kaleem
author_facet	Muhammad Kaleem, Muhammad Kaleem
author_sort	Muhammad Kaleem, Muhammad Kaleem
title	Enhanced adaptive thermal-aware routing algorithm for network-on-chip
title_short	Enhanced adaptive thermal-aware routing algorithm for network-on-chip
title_full	Enhanced adaptive thermal-aware routing algorithm for network-on-chip
title_fullStr	Enhanced adaptive thermal-aware routing algorithm for network-on-chip
title_full_unstemmed	Enhanced adaptive thermal-aware routing algorithm for network-on-chip
title_sort	enhanced adaptive thermal-aware routing algorithm for network-on-chip
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2022
url	http://eprints.utm.my/102874/1/MuhammadKaleemPSC2022.pdf.pdf
_version_	1783729229525942272

Enhanced adaptive thermal-aware routing algorithm for network-on-chip

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