원문정보
초록
영어
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.
목차
1. Introduction
2. The Related Research about Artificial Intelligence Multi-core Task Scheduling
2.1. Artificial Intelligence
2.2. The Status Quo of Multi-core Task Scheduling
2.3. The Basic Techniques of Multi-core Task Scheduling
3. Make sure the Multi-core Task Scheduling based on Artificial Intelligence
3.1. Genetic Algorithm and the Steps to Solve the Problem
3.2. Genetic Algorithm Model Theorem
3.3. The Advantages and Disadvantages of Genetic Algorithm
3.4. The Improvement of Genetic Algorithm
4. The Practical Application of Multi-core Task Scheduling Algorithm
5. Conclusion
References