A Study on Multi-core Task Scheduling Algorithm based on Artificial Intelligence
Zhiyu Hu, Li Li · International Journal of Grid and Distributed Computing · 2016
With the rapid development of science technology, the multi-core processor system has been become one of the hottest issues in the high performance computation field at present.At the same time, there are some problems in the application and the process of development.In order to find the more efficient task scheduling algorithm, this paper will research the multi-core processors task scheduling algorithm.With exploring the existing task scheduling algorithm principle, the heterogeneous multi-core processor system task scheduling mathematical model is be built, and based on the genetic algorithm, the paper proposes the heterogeneous multi-core processor system scheduling based on population genetic algorithm.Then, through the feasibility, parameter analysis, verification algorithm, the improved genetic algorithm effectively improves the system performance, and reduces the running time.The model, in a certain extent, increases the application and development of artificial intelligence, and provides a theoretical basis for related research.