ARM processor-based embedded software power consumption statistical method

Abstract

The invention discloses an ARM processor-based embedded software power consumption statistic model and provides a novel model and technology for measuring software power consumption and providing a data basis for corresponding power consumption optimization researches and development work. In the embedded software power consumption statistic model provided by the invention, the power consumption of hardware units including a processor, a memory, an I / O controller and the like is calculated, and a calculation scheme for calculating the corresponding instruction period number is designed according to the law of the instruction period of an ARM instruction set. When the embedded software power consumption statistic model is applied to a high-precision instruction-level embedded software power consumption simulator (HMSim), experiment results show that an error between the power consumption calculation results of the model and the results actually measured by an instrument is kept within 10 percent and that the degree of influences of a software realization mode on the system power consumption can be reflected accurately.

Description

Technical field [0001] The invention relates to the technical field of energy consumption optimization of embedded software, in particular to establishing an embedded software energy consumption statistics method based on an ARM instruction set. Background technique [0002] Embedded systems are composed of embedded hardware and embedded software, and are typical software-driven systems. The circuit activities of the hardware "directly" lead to the generation of system energy consumption, and the operations of software instruction execution and data access drive the circuit activities of the underlying hardware, which "indirectly" lead to the generation of system energy consumption. The essence of consumption. Many previous studies have shown that different assembly instructions, source program structures, software algorithms, and software architectures cause different working methods of hardware, which further affects system energy consumption. Embedded system energy cons...

AI Technical Summary

Problems solved by technology

In the above energy consumption statistical model, the energy consumption of a single instruction generated on the processor during software execution is mainly counted. The disadvantage is that the energy consumption of instruction pairs, memory, I / O controller, etc. is not calculated.

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