Calibration as parameter estimation in sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Dynamic Thermal Management for High-Performance Microprocessors
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Cleaning and querying noisy sensors
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Using Performance Counters for Runtime Temperature Sensing in High-Performance Processors
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
A systematic method for functional unit power estimation in microprocessors
Proceedings of the 43rd annual Design Automation Conference
Power model validation through thermal measurements
Proceedings of the 34th annual international symposium on Computer architecture
A general framework for spatial correlation modeling in VLSI design
Proceedings of the 44th annual Design Automation Conference
On process variation tolerant low cost thermal sensor design in 32nm CMOS technology
Proceedings of the 19th ACM Great Lakes symposium on VLSI
Spectral techniques for high-resolution thermal characterization with limited sensor data
Proceedings of the 46th Annual Design Automation Conference
Adaptive and autonomous thermal tracking for high performance computing systems
Proceedings of the 47th Design Automation Conference
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
System-Level Dynamic Thermal Management for High-Performance Microprocessors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Thermal sensors are currently deployed in processors to collect thermal information for dynamic thermal management (DTM). The calibration cost for thermal sensors can be prohibitively high as the number of on-chip sensors increases. We propose an on-line multi-sensor calibration method which combines potentially inaccurate temperature values obtained from two sources: temperature readings from thermal sensors and temperature estimations using system performance counters. A data fusion strategy based on Bayesian inference, which combines information from these two sources, is demonstrated along with a temperature estimation approach using performance counters. The approaches are verified via simulation for an AMD Athlon 64 processor with 24 on-chip temperature sensors scaled to a 45nm technology node. Our results show that the standard deviation of temperature sensor measurement errors can be reduced from 3 ~ 4 °C to ≤ 1 °C using the proposed method. Additionally, our MATLAB implementation shows that the new approach runs at least 67x faster than competing approaches based on Kalman filtering making it highly appropriate for run-time use.