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

Publication ,  Conference
Zhou, H; Li, X; Cher, CY; Kursun, E; Qian, H; Yao, SC
Published in: Proceedings - Design Automation Conference
July 11, 2012

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 achieves superior accuracy (1.4x error reduction) for full-chip thermal monitoring over prior art. © 2012 ACM.

Duke Scholars

Published In

Proceedings - Design Automation Conference

DOI

ISSN

0738-100X

Publication Date

July 11, 2012

Start / End Page

642 / 647
 

Citation

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Zhou, H., Li, X., Cher, C. Y., Kursun, E., Qian, H., & Yao, S. C. (2012). An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring. In Proceedings - Design Automation Conference (pp. 642–647). https://doi.org/10.1145/2228360.2228476
Zhou, H., X. Li, C. Y. Cher, E. Kursun, H. Qian, and S. C. Yao. “An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring.” In Proceedings - Design Automation Conference, 642–47, 2012. https://doi.org/10.1145/2228360.2228476.
Zhou H, Li X, Cher CY, Kursun E, Qian H, Yao SC. An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring. In: Proceedings - Design Automation Conference. 2012. p. 642–7.
Zhou, H., et al. “An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring.” Proceedings - Design Automation Conference, 2012, pp. 642–47. Scopus, doi:10.1145/2228360.2228476.
Zhou H, Li X, Cher CY, Kursun E, Qian H, Yao SC. An information-theoretic framework for optimal temperature sensor allocation and full-chip thermal monitoring. Proceedings - Design Automation Conference. 2012. p. 642–647.

Published In

Proceedings - Design Automation Conference

DOI

ISSN

0738-100X

Publication Date

July 11, 2012

Start / End Page

642 / 647