Immediate Neighbourhood Temperature Adaptive Routing for Dynamically Throttled 3-D Networks-on-Chip

Journal Article (2017)
Author(s)

Sumeet Kumar (TU Delft - Signal Processing Systems)

Amir Zjajjo (TU Delft - Signal Processing Systems)

T.G.R.M. Leuken (TU Delft - Signal Processing Systems)

Research Group
Signal Processing Systems
Copyright
© 2017 S.S. Kumar, Amir Zjajo, T.G.R.M. van Leuken
DOI related publication
https://doi.org/10.1109/TCSII.2015.2503613
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 S.S. Kumar, Amir Zjajo, T.G.R.M. van Leuken
Research Group
Signal Processing Systems
Bibliographical Note
Accepted Author Manuscript@en
Issue number
7
Volume number
64
Pages (from-to)
782-786
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Abstract

In this paper, we present the Immediate Neighbourhood Temperature (INT) routing algorithm which balances thermal profiles across dynamically-throttled 3D NoCs by adaptively routing interconnect traffic based on runtime temperature monitoring. INT avoids the overheads of system-wide temperature monitoring by relying on the heat transfer characteristics of 3D integrated circuits which enable temperature information from routers in the immediate neighbourhood to guide adaptive routing decisions. Experimental results indicate that INT yields balanced thermal profiles with upto 25% lower gradients than competing schemes, and shortens communication latencies by decreasing average network congestion by upto 50%, with negligible overheads.

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