Analytical Model for Sensor Placement on Microprocessors
ICCD '05 Proceedings of the 2005 International Conference on Computer Design
A general framework for spatial correlation modeling in VLSI design
Proceedings of the 44th annual Design Automation Conference
Spectral techniques for high-resolution thermal characterization with limited sensor data
Proceedings of the 46th Annual Design Automation Conference
Dynamic thermal management in 3D multicore architectures
Proceedings of the Conference on Design, Automation and Test in Europe
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
Accurate Temperature Estimation Using Noisy Thermal Sensors for Gaussian and Non-Gaussian Cases
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
| Hi-index | 0.00 |
Many-core architectures use large numbers of small temperature sensors to detect thermal gradients and guide thermal management schemes. In this paper a technique to identify thermal sensors which are operating outside a required accuracy is described. Unlike previous on-chip temperature estimation approaches, our algorithms are optimized to run on-line while thermal management decisions are being made. The accuracy of a sensor is determined by comparing its readings to expected values from a probability distribution function determined from surrounding sensors. Experiments show that a sensor operating outside a desired accuracy can be identified with a detection rate of over 90% and an average false alarm rate of