Embedded type GPU (Graphic Processing Unit) dynamic frequency modulating method and device based on Android system

Abstract

The invention discloses an embedded type GPU (Graphic Processing Unit) dynamic frequency modulating method based on an Android system. The method comprises the following steps: S1, obtaining working frequency points of the GPU; S2, calculating an average performance upper limit of the working frequency points; S3, counting proportions of GPU working time Tworking in time intervals T at intervals T, calculating a load proportion L according to a formula L=100%*Alpha*Tworking / T, and calculating a GPU load W[n] in the nth time interval T according to the formula; S4, calculating a predicted GPU load W[n+1] in the n+1th time interval according to the formula, wherein h[k] is a prediction coefficient, and h[K-1](h[K-2] ... (h[0] is not less than 0 and is less than 1; and S5 setting a performance threshold value beta, sequentially comparing the predicted GPU load W[n+1] with i=1, 2, ..., N, stopping comparison, and setting that the GPU works in a working frequency point fi in a next time interval, wherein beta is more than 0, and i=1, 2, ..., N-1. The invention further discloses an embedded type GPU dynamic frequency modulating device based on the Android system.

Description

technical field [0001] The invention relates to an embedded GPU dynamic frequency modulation method and device based on an Android system. Background technique [0002] With the development of mobile Internet technologies, mobile terminals, such as mobile phones, tablet computers, and e-books, have become more and more popular in people's lives. At present, battery capacity is an important factor restricting the development of mobile terminals, so low power consumption technology is very important to improve the usability of mobile terminals. [0003] Power consumption is divided into static power consumption and dynamic power consumption, where dynamic power consumption is based on the formula P dynamic =λCV 2 f is calculated, where P dynamic Represents dynamic power consumption, λ is a constant, C is the load capacitance, V is the supply voltage, and f is the operating frequency. It can be seen from the formula that when the load capacitance is constant, the dynamic po...

AI Technical Summary

Problems solved by technology

The disadvantage of the first approach is that the user cannot judge which performance mode to use without prior knowledge of the application

The disadvantage of the second method is that the GPU driver cannot make correct judgments for all applications

Moreover, in practice, the performance requirements of an application for the GPU are constantly changing. If the GPU is fixed to run at a certain frequency, there will still be excess performance or insufficient performance.

The above two methods do not really dynamically adjust the GPU frequency according to the performance requirements of the application on the GPU.

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