An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Temperature-aware microarchitecture
Proceedings of the 30th annual international symposium on Computer architecture
Statistical Timing Analysis Considering Spatial Correlations using a Single Pert-Like Traversal
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
A high efficiency full-chip thermal simulation algorithm
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
Thermal sensor allocation and placement for reconfigurable systems
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Extraction of statistical timing profiles using test data
Proceedings of the 44th annual Design Automation Conference
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Accurate Temperature Estimation for Efficient Thermal Management
ISQED '08 Proceedings of the 9th international symposium on Quality Electronic Design
Accurate temperature estimation using noisy thermal sensors
Proceedings of the 46th Annual Design Automation Conference
Optimizing Thermal Sensor Allocation for Microprocessors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Proceedings of the 49th Annual Design Automation Conference
A power-driven thermal sensor placement algorithm for dynamic thermal management
Proceedings of the Conference on Design, Automation and Test in Europe
Temperature tracking: an innovative run-time approach for hardware Trojan detection
Proceedings of the International Conference on Computer-Aided Design
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Thermal/power issues have become increasingly important with more and more transistors being put on a single chip. Many dynamic thermal/power management techniques have been proposed to address such issues but they all heavily depend on accurate knowledge of the chip's thermal state during runtime. In this paper we describe a unified statistical framework for designing an on-chip thermal sensing infrastructure which can be used to track the chip's thermal state at runtime. Specifically we address the following problems: (1)sensor placement; (2)sensor data compression; (3)sensor data fusion; (4)overall interplay. Our methods exploit the thermal correlation to generate the overall solution in both the noiseless and noisy sensor settings. Our framework is also capable of choosing the appropriate degree of compression for each sensor while accounting for their local space constraints when doing the sensor deployment. The experimental results showed that our infrastructure can improve the temperature estimation accuracy by 27% (on average) as compared to an equivalent system that uses range-based placement and uniform compression. It took our methods about 6.3 seconds to decide the overall solution for placement, compression and data fusion at design stage. This demonstrates the effectiveness and applicability of our unified statistical design methodology.