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

Huapeng Zhou, Xin Li, Chen-Yong Cher, Eren Kursun, Haifeng Qian, Shi-Chune Yao
2012 Proceedings of the 49th Annual Design Automation Conference on - DAC '12  
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
more » ... 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 achieves superior accuracy (1.4× error reduction) for full-chip thermal monitoring over prior art.
doi:10.1145/2228360.2228476 dblp:conf/dac/ZhouLCKQY12 fatcat:6kq5xt2dybfitf5dfsh3poakh4