Predictive Processor Thermal Management via Junction Temperature Forecasting
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Solution Overview
Problem
Current thermal management solutions for processor-based subsystems are reactive and inefficient, leading to performance degradation, increased heat flux, and potential processor aging due to high temperatures.
Innovation Solution
A predictive run-time thermal mitigation system that uses temperature and power sensors to measure current junction temperature and power consumption, predicts future temperatures, and initiates thermal mitigation actions before exceeding a preselected temperature threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reactive thermal management is used, then the system responds to temperature increases, but performance degradation occurs due to delayed response
Solution Approach 1:
The system performs preliminary thermal mitigation actions by predicting future temperature values based on current temperature and power consumption data. When the predicted temperature exceeds a threshold, the system proactively reduces power consumption before the actual temperature violation occurs, preventing performance degradation while maintaining thermal safety.
2Temperature
If current thermal management approaches are used, then temperature sensing is performed, but heat flux increases due to reactive mitigation
Solution Approach 1:
The system predicts future temperature values using current temperature and power consumption measurements. By taking thermal mitigation actions before the temperature threshold is actually exceeded, the system reduces the magnitude and duration of thermal events, thereby reducing overall heat flux and energy loss while maintaining effective temperature control.
3Productivity
If higher algorithm complexity and system core frequencies are used, then processing power increases, but thermal management becomes increasingly important and difficult
Solution Approach 1:
The system uses a prediction model that takes current temperature and power consumption values to forecast future temperature states. This approach simplifies thermal management by enabling proactive control decisions based on predicted states rather than reacting to actual temperature violations, reducing the complexity of real-time thermal control while supporting high processing powers.
Data Source
AI summary
A system for performing predictive run-time thermal mitigation in a processor uses at least a first temperature sensor and a first power sensor or meter to measure a junction temperature, TJUNC, value and power consumption, PTOTAL, value in the processor and predicts what a temperature, TEMPPRED, value of the processor will be in a later clock cycle of the processor based at least in part on the TJUNC and PTOTAL values. If the TEMPPRED value exceeds a preselected temperature threshold, THTEMP, value, one or more thermal mitigation actions are taken to ensure that a future TJUNC value measured n sample periods from the current sample period k of the processor will not exceed the THTEMP value.