Dynamic CPU Frequency Biasing for Thermal and Acoustic Control
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Solution Overview
Problem
Information handling systems face challenges in efficiently managing power dissipation, leading to heat and noise issues, particularly when running resource-intensive applications, as existing power management techniques do not effectively balance performance, noise, and temperature considerations.
Innovation Solution
A method that dynamically adjusts the CPU frequency and supply voltage based on skin temperature and user preferences, using an energy performance preference configuration parameter to reduce power dissipation by identifying specific software applications and implementing power reduction algorithms to optimize for noise level and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If CPU frequency and supply voltage are increased to improve performance, then processing speed is improved, but power dissipation and heat generation increase
Solution Approach 1:
The patent implements dynamic adjustment of CPU frequency and supply voltage based on real-time monitoring of application workload, temperature, and user preferences. The system continuously adapts processing parameters rather than using fixed settings, allowing optimal balance between performance and power consumption under varying conditions.
Solution Approach 2:
The system changes physical parameters (CPU frequency, supply voltage) based on detected conditions. By monitoring temperature sensors and application types, the system adjusts electrical parameters to reduce power dissipation when high performance is not required, while maintaining adequate processing speed when needed.
2Productivity
If CPU frequency is increased to run resource-intensive applications, then application performance is improved, but noise level increases
Solution Approach 1:
The system incorporates feedback loops that monitor temperature sensors and acoustic noise levels, then adjust CPU frequency accordingly. When noise or temperature exceeds thresholds, the system reduces frequency to mitigate harmful effects while attempting to maintain acceptable application performance.
Solution Approach 2:
The system dynamically changes CPU operating parameters (frequency, voltage) based on monitored conditions including noise levels. By adjusting these parameters in response to environmental feedback, the system reduces noise generation during resource-intensive application execution.
3Temperature
If power dissipation is reduced to lower heat generation, then temperature control is improved, but processing capability decreases
Solution Approach 1:
The system dynamically adjusts CPU frequency and voltage based on real-time temperature monitoring. When temperature exceeds thresholds, the system reduces power dissipation to lower heat generation. When temperature is acceptable, the system can increase processing capability, creating a dynamic balance between thermal management and performance.
Solution Approach 2:
The system changes CPU operating parameters (frequency, voltage) in response to temperature conditions. By monitoring temperature sensors and adjusting electrical parameters accordingly, the system reduces heat generation when necessary while maintaining processing capability when thermal conditions permit.
4Ease of operation
If existing power management techniques are used, then basic power control is provided, but effective balance between performance, noise, and temperature is not achieved
Solution Approach 1:
The system integrates multiple functions into a unified power management approach: performance monitoring, temperature sensing, noise level detection, and adaptive parameter adjustment. This multi-functional system simultaneously addresses performance, thermal, and acoustic considerations rather than treating them separately.
Solution Approach 2:
The system incorporates multiple feedback mechanisms monitoring application workload, temperature sensors, and acoustic noise levels. This comprehensive feedback enables the system to achieve effective balance between performance, noise, and temperature by continuously adapting to changing conditions based on real-time system state.
Data Source
AI summary
A method for regulating power dissipation at an information handling system may include determining a present value of a first parameter, the first parameter controlling an operating frequency, frequency boost, and a supply voltage at a central processing unit. The method may further include determining a present value of a second parameter, the second parameter defining a user's preference for optimizing operation of the system for noise level, skin temperature, and performance. The method may further include determining that a program executing at the system is specified at a list of software applications. In response to determining that a skin temperature of the system exceeds a threshold, the first parameter may be adjusted to reduce power dissipation of the CPU by a first amount if the value of the second parameter is equal to a first value. The first parameter may be adjusted by a second amount if the present value of the second parameter is equal to a second value.