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Predictive Temperature-Aware DVFS

Authors
Lee, Jong SungSkadron, KevinChung, Sung Woo
Issue Date
1월-2010
Publisher
IEEE COMPUTER SOC
Keywords
Microprocessor; dynamic thermal management; thermal sensor; performance counter; DVFS
Citation
IEEE TRANSACTIONS ON COMPUTERS, v.59, no.1, pp.127 - 133
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON COMPUTERS
Volume
59
Number
1
Start Page
127
End Page
133
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/117242
DOI
10.1109/TC.2009.136
ISSN
0018-9340
Abstract
In this paper, we propose predictive temperature-aware Dynamic Voltage and Frequency Scaling (DVFS) using the performance counters that are already embedded in commercial microprocessors. By using the performance counters and simple regression analysis, we can predict the localized temperature and efficiently scale the voltage/frequency. When localized thermal problems that were not detected by thermal sensors are found after layout (or fabrication), the thermal problems can be avoided by the proposed software solution without delaying time-to-market. The evaluation results show that in a Linux-based laptop with the Intel Core2 Duo processor, DVFS using the performance counters performs comparable to DVFS using the thermal sensor.
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