计算机应用研究2017，Vol.34Issue(12)：3698-3700,3.DOI:10.3969/j.issn.1001-3695.2017.12.040
基于粒子群优化算法的多核处理器任务调度研究
Research on multi-core processor task scheduling based on particle swarm optimization algorithm
田佳 1胡威 1李琳 1柯鹏 1张凯1
作者信息
- 1. 武汉科技大学计算机科学与技术学院湖北省智能信息处理与实时工业系统重点实验室,武汉430065
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摘要
Abstract
In allusion to the problem that the efficiency of multi-core processors in the process of scheduling multiple tasks is not high,on the basis of particle swarm optimization algorithm,this paper put forward a kind of embedded multi-core and multi-thread scheduling algorithm to be used to seek the optimal solution in the process of the task.In the algorithm,through the multi-core and multithreading task model,it chose fitness function of particle swarm algorithm and utilized advantages of partial optimal extremum and global optimal extremum optimized the problem of the premature convergence in the particle swarm algorithm to make the algorithm's convergence efficiency high.The experimental results show that compared with the traditional algorithm of multi-core and multithreading task scheduling,the algorithm can find the optimal solution faster.关键词
粒子群优化算法/多核处理器/多核多线程/任务调度Key words
particle swarm optimization(PSO)/multi-core processor/multi-core & multi-thread/task scheduling分类
信息技术与安全科学引用本文复制引用
田佳,胡威,李琳,柯鹏,张凯..基于粒子群优化算法的多核处理器任务调度研究[J].计算机应用研究,2017,34(12):3698-3700,3.
