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Dynamic programming-based runtime thermal management (DPRTM): An online thermal control strategy for 3D-NoC systems

Lookup NU author(s): Raaed Al-Dujaily, Nizar Dahir, Dr Terrence Mak, Dr Fei Xia, Professor Alex Yakovlev

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Abstract

Complex thermal behavior inhibits the advancement of three-dimensional (3D) very-large-scale-integration (VLSI) system designs, as it could lead to ultra-high temperature hotspots and permanent silicon device damage. This article introduces a new runtime thermal management strategy to effectively diffuse and manage heat throughout 3D chip geometry for a better throughput performance in networks on chip (NoC). This strategy employs a dynamic programming-based runtime thermal management (DPRTM) policy to provide online thermal regulation. Reactive and proactive adaptive schemes are integrated to optimize the routing pathways depending on the critical temperature thresholds and traffic developments. Also, when the critical system thermal limit is violated, an urgent throttling will take place. The proposed DPRTM is rigorously evaluated through cycle-accurate simulations, and results show that the proposed approach outperforms conventional approaches in terms of computational efficiency and thermal stability. For example, the system throughput using the DPRTM approach can be improved by 33% when compared to other adaptive routing strategies for a given thermal constraint. Moreover, the DPRTM implementation presented in this article demonstrates that the hardware overhead is insignificant. This work opens a new avenue for exploring the on-chip adaptability and thermal regulation for future large-scale and 3D many-core integrations.


Publication metadata

Author(s): Al-Dujaily R, Dahir N, Mak T, Xia F, Yakovlev A

Publication type: Article

Publication status: Published

Journal: ACM Transactions on Design Automation of Electronic Systems (TODAES)

Year: 2013

Volume: 19

Issue: 1

Pages: 2.1-2.27

ISSN (print): 1084-4309

ISSN (electronic): 1557-7309

Publisher: Association for Computing Machinery, Inc

URL: http://dx.doi.org/10.1145/2534382

DOI: 10.1145/2534382


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