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
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
Temperature-aware microarchitecture
Proceedings of the 30th annual international symposium on Computer architecture
Runtime Power Monitoring in High-End Processors: Methodology and Empirical Data
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Approximation of Large-Scale Dynamical Systems (Advances in Design and Control) (Advances in Design and Control)
SPRIM: structure-preserving reduced-order interconnect macromodeling
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Techniques for Multicore Thermal Management: Classification and New Exploration
Proceedings of the 33rd annual international symposium on Computer Architecture
Predictive dynamic thermal management for multicore systems
Proceedings of the 45th annual Design Automation Conference
Thermal monitoring mechanisms for chip multiprocessors
ACM Transactions on Architecture and Code Optimization (TACO)
Temperature-constrained power control for chip multiprocessors with online model estimation
Proceedings of the 36th annual international symposium on Computer architecture
Spectral techniques for high-resolution thermal characterization with limited sensor data
Proceedings of the 46th Annual Design Automation Conference
Utilizing predictors for efficient thermal management in multiprocessor SoCs
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Consistent runtime thermal prediction and control through workload phase detection
Proceedings of the 47th 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
Hotspot: acompact thermal modeling methodology for early-stage VLSI design
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Fast Thermal Simulation for Runtime Temperature Tracking and Management
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
ISAC: Integrated Space-and-Time-Adaptive Chip-Package Thermal Analysis
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Optimizing Thermal Sensor Allocation for Microprocessors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
A power-driven thermal sensor placement algorithm for dynamic thermal management
Proceedings of the Conference on Design, Automation and Test in Europe
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Temperature estimation and prediction are critical for online regulation of temperature and hot spots on today's high performance processors. In this paper, we present a new method, called FRETEP, to accurately estimate and predict the full-chip temperature at runtime under more practical conditions where we have inaccurate thermal model, less accurate power estimations and limited number of on-chip physical thermal sensors. FRETEP employs a number of new techniques to address this problem. First, we propose a new thermal sensor based error compensation method to correct the errors due to the inaccuracies in thermal model and power estimations. Second, we raise a new correlation based method for error compensation estimation with limited number of thermal sensors. Third, we optimize the compact modeling technique and integrate it into the error compensation process in order to perform the thermal estimation with error compensation at runtime. Last but not least, to enable accurate temperature prediction for the emerging predictive thermal management, we design a full-chip thermal prediction framework employing time series prediction method. Experimental results show FRETEP accurately estimates and predicts the full-chip thermal behavior with very low overhead introduced and compares very favorably with the Kalman filter based approach on standard SPEC benchmarks.