Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Electrothermal analysis of VLSI systems
Electrothermal analysis of VLSI systems
Machine Learning
Analytical Model for Sensor Placement on Microprocessors
ICCD '05 Proceedings of the 2005 International Conference on Computer Design
A systematic method for functional unit power estimation in microprocessors
Proceedings of the 43rd annual Design Automation Conference
Bounding and comparing methods for correlation clustering beyond ILP
ILP '09 Proceedings of the Workshop on Integer Linear Programming for Natural Langauge Processing
A statistical framework for designing on-chip thermal sensing infrastructure in nano-scale systems
Proceedings of the 19th international symposium on Physical design
Thermal monitoring of real processors: techniques for sensor allocation and full characterization
Proceedings of the 47th Design Automation Conference
Post-silicon power characterization using thermal infrared emissions
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Accurate direct and indirect on-chip temperature sensing for efficient dynamic thermal management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems - Special section on the ACM IEEE international conference on formal methods and models for codesign (MEMOCODE) 2009
Improved Thermal Tracking for Processors Using Hard and Soft Sensor Allocation Techniques
IEEE Transactions on Computers
Improved post-silicon power modeling using AC lock-in techniques
Proceedings of the 48th Design Automation Conference
Full-chip runtime error-tolerant thermal estimation and prediction for practical thermal management
Proceedings of the International Conference on Computer-Aided Design
Optimizing Thermal Sensor Allocation for Microprocessors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Runtime power estimator calibration for high-performance microprocessors
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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On-chip physical thermal sensors play a vital role for accurately estimating the full-chip thermal profile. How to place physical sensors such that both the number of thermal sensors and the temperature estimation errors are minimized becomes important for on-chip dynamic thermal management of today's high-performance microprocessors. In this paper, we present a new systematic thermal sensor placement algorithm. Different from the traditional thermal sensor placement algorithms where only the temperature information is explored, the new placement method takes advantage of functional unit power information by exploiting the correlation of power estimation errors among functional blocks. The new power-driven placement algorithm applies the correlation clustering algorithm to determine both the locations of sensors and the number of sensors automatically such that the temperature estimation errors can be minimized. Experimental results on a dual-core architecture show that the new thermal sensor placements yield more accurate full-chip temperature estimation compared to the uniform and the k-means based placement approaches.