Research on Processor Power Management Method Based on Machine Learning
After analyzing the processor power management method in depth,the idea of machine learning is applied to the power management method.The Raspberry Pi 4 development board is used as an experimental platform to compare the performance of the traditional dynamic frequency and voltage regulation technology and the random forest-based dynamic frequency and voltage regulation technology in terms of power consumption and temperature.The experimental results show that the random forest-based technique exhibits superior power consumption and temperature control characteristics compared to the traditional technique under different loads.The technique achieves significant results in the experiments and provides new perspectives and methods for performance optimization in the field of processor power management.
power managementmachine learningrandom forestdynamic frequency and voltage regulation technology
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