Predictive temperature-aware DVFS

Jong Sung Lee; Kevin Skadron; Sung Woo Chung

doi:10.1109/TC.2009.136

Predictive temperature-aware DVFS

Jong Sung Lee, Kevin Skadron, Sung Woo Chung

Department of Computer Science and Engineering

Research output: Contribution to journal › Article › peer-review

74 Citations (Scopus)

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.

Original language	English
Article number	5255230
Pages (from-to)	127-133
Number of pages	7
Journal	IEEE Transactions on Computers
Volume	59
Issue number	1
DOIs	https://doi.org/10.1109/TC.2009.136
Publication status	Published - 2010

Keywords

DVFS
Dynamic thermal management
Microprocessor
Performance counter
Thermal sensor

ASJC Scopus subject areas

Software
Theoretical Computer Science
Hardware and Architecture
Computational Theory and Mathematics

Access to Document

10.1109/TC.2009.136

Cite this

@article{90a4ab1b7ac843f9ae3a98fba62d7bb6,

title = "Predictive temperature-aware DVFS",

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.",

keywords = "DVFS, Dynamic thermal management, Microprocessor, Performance counter, Thermal sensor",

author = "Lee, {Jong Sung} and Kevin Skadron and Chung, {Sung Woo}",

note = "Funding Information: This paper is an extended version of [3]. This work was supported by the Korea Research Foundation Grant of the Korean Government (KRF-2006-331-D00452), and the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MEST) (No. R01-2007-000-20750-0). This work was also funded by the US National Science Foundation under grant no. EHS-0509245 and a grant from Intel MRL. The authors would like to thank Professor Gabriel Loh for providing Core 2 Duo related parameters. Finally, they would like to thank the anonymous reviewers for their helpful feedback. Sung Woo Chung is the corresponding author of this paper.",

year = "2010",

doi = "10.1109/TC.2009.136",

language = "English",

volume = "59",

pages = "127--133",

journal = "IEEE Transactions on Computers",

issn = "0018-9340",

publisher = "IEEE Computer Society",

number = "1",

}

TY - JOUR

T1 - Predictive temperature-aware DVFS

AU - Lee, Jong Sung

AU - Skadron, Kevin

AU - Chung, Sung Woo

N1 - Funding Information: This paper is an extended version of [3]. This work was supported by the Korea Research Foundation Grant of the Korean Government (KRF-2006-331-D00452), and the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korea government (MEST) (No. R01-2007-000-20750-0). This work was also funded by the US National Science Foundation under grant no. EHS-0509245 and a grant from Intel MRL. The authors would like to thank Professor Gabriel Loh for providing Core 2 Duo related parameters. Finally, they would like to thank the anonymous reviewers for their helpful feedback. Sung Woo Chung is the corresponding author of this paper.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - DVFS

KW - Dynamic thermal management

KW - Microprocessor

KW - Performance counter

KW - Thermal sensor

UR - http://www.scopus.com/inward/record.url?scp=72949089066&partnerID=8YFLogxK

U2 - 10.1109/TC.2009.136

DO - 10.1109/TC.2009.136

M3 - Article

AN - SCOPUS:72949089066

VL - 59

SP - 127

EP - 133

JO - IEEE Transactions on Computers

JF - IEEE Transactions on Computers

SN - 0018-9340

IS - 1

M1 - 5255230

ER -

Predictive temperature-aware DVFS

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this