单片机与嵌入式系统应用2017，Vol.17Issue(5)：13-18,6.
混合粒子群算法的异构多核处理器间任务调度
Task Scheduling for Heterogeneous Multi-core Processors Based on HPSO
田辉1
作者信息
- 1. 桂林理工大学 机械与控制工程学院,桂林 541006
- 折叠
摘要
Abstract
In order to solve the problem of task scheduling among heterogeneous multi-core processors and better play to the advantage of heterogeneous multi-core processor platform,a replicating idea based on connected and not on the same processor task is proposed,so that each heterogeneous multi-core processor can independently perform the task to reduce the communication overhead among different processors.The hybrid particle swarm optimization algorithm (HPSO) is used to schedule tasks in heterogeneous multi-core processor,avoids the results can not be timely and accurately shown when an arbitrary heterogeneous multi-core processor has too many tasks.The experiment results show that compared with the traditional heuristic allocation scheme and the common genetic algorithm,the solution has better solving ability,and can provide the implementation scheme of less time scheduling and allocation,and has good application value.关键词
异构多核处理器/任务调度/混合粒子群算法Key words
multiprocessor/task scheduling/HPSO分类
信息技术与安全科学引用本文复制引用
田辉..混合粒子群算法的异构多核处理器间任务调度[J].单片机与嵌入式系统应用,2017,17(5):13-18,6.
