Abstract: A power consumption reduction method can include defining y operation scenarios according to x types of extracted information, generating z power profiles each used for controlling power provided to a subset of a plurality of processors, assigning the z power profiles to the y operation scenarios in a machine learning model, collecting to-be-evaluated information by the plurality of processors, comparing the to-be-evaluated information with the x types of extracted information to find a most similar type of extracted information, using the machine learning model to select an optimal power profile from the z power profiles according to the most similar type of extracted information, and applying the optimal power profile to control the power provided to the subset of the plurality of processors. The subset of the plurality of processors are of the same type of processor. x, y and z can be an integer larger than zero.

Abstract: A method of building a characteristic model includes: acquiring raw electrical data from a measurement system outside one or more processing units; acquiring operational state-related data from an information collector inside the one or more processing units; performing a data annealing process on the raw electrical data and the operational state-related data to obtain and purified electrical data and purified operational state-related data; and performing a machine learning (ML)-based process to build the characteristic model based on the purified electrical data and the purified operational state-related data.