A novel software solution for localized thermal problems

Sung Woo Jung, Kevin Skadron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we propose a temperature-aware DFS (Dynamic Frequency Scaling) technique using the performance counters that is already embedded in the commercial microprocessors. By using performance counters and simple regression analysis, we can predict the localized temperature and efficiently schedule the tasks considering the temperature. The proposed technique is especially beneficial to potential localized thermal problems that are inevitable due to limited number of costly CMOS thermal sensors. When localized thermal problems that were not detected by thermal sensors are found after fabrication, the thermal problems can be avoided by the proposed software solution without re-fabrication costs. The evaluation results show that the proposed technique is comparable to the DFS technique using CMOS thermal sensors.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages63-74
Number of pages12
Volume4330
ISBN (Print)9783540680673
Publication statusPublished - 2006
Event4th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2006 - Sorrento, Italy
Duration: 2006 Dec 42006 Dec 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4330
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2006
CountryItaly
CitySorrento
Period06/12/406/12/6

Fingerprint

Heat problems
Software
Sensors
Fabrication
Regression analysis
Sensor
Temperature
Microprocessor chips
Scaling
Microprocessor
Regression Analysis
Hot Temperature
Costs
Schedule
Predict
Dynamic frequency scaling
Evaluation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Jung, S. W., & Skadron, K. (2006). A novel software solution for localized thermal problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4330, pp. 63-74). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4330). Springer Verlag.

A novel software solution for localized thermal problems. / Jung, Sung Woo; Skadron, Kevin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4330 Springer Verlag, 2006. p. 63-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4330).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jung, SW & Skadron, K 2006, A novel software solution for localized thermal problems. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4330, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4330, Springer Verlag, pp. 63-74, 4th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2006, Sorrento, Italy, 06/12/4.
Jung SW, Skadron K. A novel software solution for localized thermal problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4330. Springer Verlag. 2006. p. 63-74. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Jung, Sung Woo ; Skadron, Kevin. / A novel software solution for localized thermal problems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4330 Springer Verlag, 2006. pp. 63-74 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{e6321a5d46e44a83bc38829ce2fbe2af,
title = "A novel software solution for localized thermal problems",
abstract = "In this paper, we propose a temperature-aware DFS (Dynamic Frequency Scaling) technique using the performance counters that is already embedded in the commercial microprocessors. By using performance counters and simple regression analysis, we can predict the localized temperature and efficiently schedule the tasks considering the temperature. The proposed technique is especially beneficial to potential localized thermal problems that are inevitable due to limited number of costly CMOS thermal sensors. When localized thermal problems that were not detected by thermal sensors are found after fabrication, the thermal problems can be avoided by the proposed software solution without re-fabrication costs. The evaluation results show that the proposed technique is comparable to the DFS technique using CMOS thermal sensors.",
author = "Jung, {Sung Woo} and Kevin Skadron",
year = "2006",
language = "English",
isbn = "9783540680673",
volume = "4330",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "63--74",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - A novel software solution for localized thermal problems

AU - Jung, Sung Woo

AU - Skadron, Kevin

PY - 2006

Y1 - 2006

N2 - In this paper, we propose a temperature-aware DFS (Dynamic Frequency Scaling) technique using the performance counters that is already embedded in the commercial microprocessors. By using performance counters and simple regression analysis, we can predict the localized temperature and efficiently schedule the tasks considering the temperature. The proposed technique is especially beneficial to potential localized thermal problems that are inevitable due to limited number of costly CMOS thermal sensors. When localized thermal problems that were not detected by thermal sensors are found after fabrication, the thermal problems can be avoided by the proposed software solution without re-fabrication costs. The evaluation results show that the proposed technique is comparable to the DFS technique using CMOS thermal sensors.

AB - In this paper, we propose a temperature-aware DFS (Dynamic Frequency Scaling) technique using the performance counters that is already embedded in the commercial microprocessors. By using performance counters and simple regression analysis, we can predict the localized temperature and efficiently schedule the tasks considering the temperature. The proposed technique is especially beneficial to potential localized thermal problems that are inevitable due to limited number of costly CMOS thermal sensors. When localized thermal problems that were not detected by thermal sensors are found after fabrication, the thermal problems can be avoided by the proposed software solution without re-fabrication costs. The evaluation results show that the proposed technique is comparable to the DFS technique using CMOS thermal sensors.

UR - http://www.scopus.com/inward/record.url?scp=84906916743&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84906916743&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9783540680673

VL - 4330

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 63

EP - 74

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -