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DAC
2012
ACM

An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring

7 years 9 months ago
An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring
Full-chip thermal monitoring is an important and challenging issue in today’s microprocessor design. In this paper, we propose a new information-theoretic framework to quantitatively model the uncertainty of on-chip temperature variation by differential entropy. Based on this framework, an efficient optimization scheme is developed to find the optimal spatial locations for temperature sensors such that the full-chip thermal map can be accurately captured with a minimum number of on-chip sensors. In addition, several efficient numerical algorithms are proposed to minimize the computational cost of the proposed entropy calculation and optimization. As will be demonstrated by our experimental examples, the proposed entropy-based method
Huapeng Zhou, Xin Li, Chen-Yong Cher, Eren Kursun,
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where DAC
Authors Huapeng Zhou, Xin Li, Chen-Yong Cher, Eren Kursun, Haifeng Qian, Shi-Chune Yao
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