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Improved Thermal Tracking for Processors Using Hard and Soft Sensor Allocation Techniques
June 2011 (vol. 60 no. 6)
pp. 841-851
ASCII Text
x 
 
Sherief Reda, Ryan J. Cochran, Abdullah Nazma Nowroz, "Improved Thermal Tracking for Processors Using Hard and Soft Sensor Allocation Techniques," IEEE Transactions on Computers, vol. 60, no. 6, pp. 841-851, June, 2011.
 
 
BibTex
x
 
@article{ 10.1109/TC.2011.45,
author = {Sherief Reda and Ryan J. Cochran and Abdullah Nazma Nowroz},
title = {Improved Thermal Tracking for Processors Using Hard and Soft Sensor Allocation Techniques},
journal ={IEEE Transactions on Computers},
volume = {60},
number = {6},
issn = {0018-9340},
year = {2011},
pages = {841-851},
doi = {http://doi.ieeecomputersociety.org/10.1109/TC.2011.45},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Computers
TI - Improved Thermal Tracking for Processors Using Hard and Soft Sensor Allocation Techniques
IS - 6
SN - 0018-9340
SP841
EP851
EPD - 841-851
A1 - Sherief Reda,
A1 - Ryan J. Cochran,
A1 - Abdullah Nazma Nowroz,
PY - 2011
KW - Thermal
KW - power
KW - characterization
KW - sensors
KW - tracking
KW - hot spot
KW - infrared imaging.
VL - 60
JA - IEEE Transactions on Computers
ER -
 
Sherief Reda, Brown University, Providence
Ryan J. Cochran, Brown University, Providence
Abdullah Nazma Nowroz, Brown University, Providence
Hot spots are a major concern in high-end processors as they constrain performance and limit the lifetime of semiconductor chips. Using embedded thermal sensors, dynamic thermal management systems track the hot spots during runtime and adjust the performance and the cooling system of the processor when necessary. In many-core processors, the locations of hot spots vary spatially and temporally depending on the configuration of active cores and the workloads running on the cores. Our work includes both theoretical advances in sensor allocation techniques and experimental advances for thermal imaging of real processors. We propose a hard sensor allocation algorithm to determine the sensor locations where hot spots can be tracked accurately given a budget number of sensors. We also propose soft sensor computation techniques to alleviate design constraints on sensor locations and to further improve the resolution of hot spot tracking. The proposed soft sensing technique combines the measurements of the hard sensors in an optimal way to estimate the temperature at any desired location. We use infrared imaging methods to characterize the thermal behavior of a real dual-core processor during operation. We execute large number of workload configurations on the processor and track the locations and temperatures of hot spots during runtime. The thermal characterization data are then used as the input to our sensor allocation techniques. We demonstrate that our sensor allocation techniques improve significantly upon the previous results in the literature and provide accurate tracking of hot spots.

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Index Terms:
Thermal, power, characterization, sensors, tracking, hot spot, infrared imaging.
Citation:
Sherief Reda, Ryan J. Cochran, Abdullah Nazma Nowroz, "Improved Thermal Tracking for Processors Using Hard and Soft Sensor Allocation Techniques," IEEE Transactions on Computers, vol. 60, no. 6, pp. 841-851, June 2011, doi:10.1109/TC.2011.45
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