Abstract: Using embedded thermal sensors, dynamic thermal management (DTM) techniques measure runtime
thermal behavior of high-performance microprocessors so as to prevent thermal runaway situations. The number
of placed sensors should be minimized, while guaranteeing accurate tracking of hot spots and full thermal
characterization. In this paper, we propose a rigid sensor allocation and placement technique for determining the
minimal number of thermal sensors and the optimal locations while satisfying an expected accuracy of hot spot
temperature error based on dual clustering. We analyze the false alarm rates of hot spots using the proposed
methods in noise-free, with noise and sensor calibration scenarios, respectively. Experimental results confirm that
our proposed methods are capable of accurately characterizing the temperatures of microprocessors.
LI Xin* (李鑫), ZHOU Wei (周巍), JIANG Wen (蒋雯)
. Rigid Sensor Allocation and Placement Technique for Reducing the Number of Sensors in Thermal Monitoring[J]. Journal of Shanghai Jiaotong University(Science), 2017
, 22(4)
: 481
-492
.
DOI: 10.1007/s12204-017-1861-1
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