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Collaborative fuzzy‐based partially‐throttling dynamic thermal management scheme for three‐dimensional networks‐on‐chip
Author(s) -
Yan Gaizhen,
Wu Ning,
Ge Fen,
Xiao Hao,
Zhou Fang
Publication year - 2017
Publication title -
iet computers and digital techniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.219
H-Index - 46
eISSN - 1751-861X
pISSN - 1751-8601
DOI - 10.1049/iet-cdt.2015.0198
Subject(s) - bandwidth throttling , computer science , fuzzy logic , network packet , engineering , computer network , aerospace engineering , artificial intelligence , gas compressor
Three‐dimensional networks‐on‐chip are beneficial for performance improvement, but suffer from severe thermal issues. Dynamic thermal management (DTM) schemes have been proposed to keep the temperature below the thermal limit while improve the system performance. However, existing fully‐throttling DTM schemes degrade the network availability and thus decrease the system performance. In this study, a novel collaborative fuzzy‐based partially‐throttling DTM (CFP‐DTM) scheme is developed. Two main components are involved in the CFP‐DTM: (i) a fuzzy‐based clock gating scheme dynamically adjusting the throttling ratio and throttled nodes (ii) a highly adaptive throttling‐aware routing scheme for packets to detour the easily congested channels. Experiments show that, compared with the fully‐throttling based vertical throttling scheme, the proposed CFP‐DTM can improve the throughput by 27.5% and reduce the thermal control oscillation by 3°C under the maximum system workload.

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