An energy consumption evolution optimization method during GCC compiling based on frequent pattern mining and storage device

Abstract

The invention relates to the technical field of information processing, in particular to an energy consumption optimization method based on frequent pattern mining. The energy consumption optimizationmethod based on frequent pattern mining comprises the following steps of S1 generating an initial random population P (t); S2 calculating the fitness value of each individual in P (t); S3 if t reaches a specified algebra, turning to S4; S4 recording information of individuals with an energy consumption improvement effect in the P (t), and storing the information as a transaction in a pre-designedtransaction table; S5 generating a temporary population Pc (t), and performing frequent pattern mining on the transaction table to obtain a frequent compilation option pattern set; S6 performing mutation operation on the Pc (t) based on the frequent compilation option mode set to generate a temporary population Pm (t); and S7 selecting and generating a next generation of population P (t+1) from the population Pm (t) and the population P (t) based on a roulette strategy. In this way, the mutual influence possibly existing between different compiling options is fully considered, and the solution quality can be improved, and the convergence speed can be increased.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method for optimizing energy consumption evolution during GCC compilation and a storage device based on frequent pattern mining. Background technique [0002] Energy consumption is a critical quality attribute of embedded software. Especially in a power-constrained execution environment, reducing the energy consumption of embedded software has more important value and significance. Compared with energy optimization at the source code level of embedded software, compile-time energy optimization does not need to change the source code, while ensuring functional semantic consistency. As an open source compiler, GCC has been widely used in the compilation of embedded software source code. GCC provides several commonly used optimization levels, and compiles the software source code by using a set of compilation options preset by each optimization level to optimize t...

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Problems solved by technology

[0005] To this end, a GCC compile-time energy consumption evolution optimization method based on frequent pattern mining is provided, which is used to solve the problem that the existing GCC compile-time energy consumption evolution optimization method does not consider the possible interaction between multiple compilation options, resulting in quality problems. The problem of low and slow convergence

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