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In order to effectively map more and more complex application tasks to the network on chip processing unit to complete the related tasks with less energy consumption, a new low power mapping method with a combination of genetic algorithm and tabu search algorithm is proposed. The method makes full use of the powerful global search ability of the genetic algorithm, and combines the local search ability of the tabu search and the prominent mountain turning features to compensate for the weak local search ability and premature defects of the genetic algorithm, so as to achieve better low power consumption effect on NoC. The experimental results show that under the same experimental platform and power consumption model, the new algorithm has a great energy efficiency improvement compared with the early genetic algorithm, and has energy efficiency advantages compared with the later improved MGA and AGA algorithms.

Network on Chip Low-power Mapping Method based on Tabu Search Genetic Algorithm