@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 = "Chung, {Sung Woo} and Kevin Skadron",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.; 4th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2006 ; Conference date: 04-12-2006 Through 06-12-2006",
year = "2006",
doi = "10.1007/11946441_11",
language = "English",
isbn = "9783540680673",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "63--74",
editor = "Minyi Guo and Yang, {Laurence T} and {Di Martino}, Beniamino and Zima, {Hans P.} and Zima, {Hans P.} and Jack Dongarra and Feilong Tang",
booktitle = "Parallel and Distributed Processing and Applications - 4th International Symposium, ISPA 2006, Proceedings",
}