Thermal Mitigation via Predicted Temperatures
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Solution Overview
Problem
Increasing complexity and power intensity of electronic devices, such as processors in wireless communication technologies, lead to significant heat generation, affecting performance and reliability, necessitating effective thermal management solutions.
Innovation Solution
A method and apparatus that measure temperatures, predict future temperature scenarios, and schedule thermal mitigation functions, such as adjusting operating frequency or voltage, based on these predictions to proactively manage heat and maintain performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If processors operate at high frequencies to meet performance demand, then processing speed and performance are improved, but heat generation increases causing performance degradation and reliability issues
Solution Approach 1:
The system performs preliminary temperature prediction using measured temperature data and prediction algorithms to forecast future temperature conditions before they occur. This allows the thermal mitigation function to be scheduled in advance based on predicted temperatures, preventing performance degradation before it happens rather than reacting after overheating occurs.
2Reliability
If thermal mitigation functions are applied to manage heat, then temperature control and reliability are improved, but performance may be reduced due to frequency or voltage adjustments
Solution Approach 1:
By predicting temperatures in advance and scheduling thermal mitigation functions proactively, the system can prepare for thermal conditions before they occur. This allows for smoother transitions and more precise control, maintaining reliability while minimizing performance impact through anticipatory rather than reactive management.
Solution Approach 2:
The system dynamically adjusts operational parameters based on predicted temperature conditions. By using prediction algorithms to forecast thermal states, the system can dynamically schedule mitigation functions at optimal moments, balancing thermal control with performance maintenance through adaptive, time-based decision making.
3Measurement precision
If continuous temperature monitoring is performed to detect hotspots, then temperature control accuracy is improved, but energy consumption increases
Solution Approach 1:
The system uses measured temperature data to perform preliminary predictions of future temperature conditions through algorithms. This approach allows the system to anticipate thermal issues without requiring continuous real-time monitoring, reducing energy consumption while maintaining effective temperature management through predictive rather than continuous measurement.
Data Source
AI summary
An apparatus is presented. The apparatus includes a first circuit configured to predict temperatures of a location for a plurality of time instances based on measured temperatures and a second circuit configured to schedule a thermal mitigation function based on the predicted temperatures. A method of operating an apparatus is presented. The method includes measuring temperatures on an integrated circuit, predicting temperatures of a location for a plurality of time instances based on the measured temperatures, and scheduling a thermal mitigation function based on the predicted temperatures. An apparatus is presented. The apparatus includes means for measuring temperatures on an integrated circuit, means for predicting temperatures of a location for a plurality of time instances based on measured temperatures, and means for scheduling a thermal mitigation function based on the predicted temperatures.