Power consumption reduction is the primary problem for the design and implementation of heterogeneous parallel systems. As it is difficult to make progress in the low-power optimization in the hardware layer to meet the increasing need for power optimization, more attention has been paid to low-power optimization in the hardware layer. The relationship between the execution time and dynamic power consumption of programs divided between homogeneous and heterogeneous computing sections is analysed. In addition, the communication power consumption for data transmission and dynamic multi-task allocation are described. Afterwards, this study establishes a power model for the whole procedure of heterogeneous parallel systems. By using this model, a selection algorithm is designed for the optimal frequency of processors with optimal power consumption under time constraints, optimal descent-based time allocation algorithms in multiple computing sections, and profiling dynamic analysis-based integral linear programming at algorithm-level, separately. Finally, the validity of the power optimization algorithm is ascertained using typical applications
