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基于CPU因子影响的二次调度算法
引用本文:王志佳,李伦波,王嘉春.基于CPU因子影响的二次调度算法[J].计算机系统应用,2018,27(6):129-133.
作者姓名:王志佳  李伦波  王嘉春
作者单位:南京理工大学 计算机科学与工程学院, 南京 210094;北京空间飞行器总体设计部 信息中心, 北京 100094,南京理工大学 计算机科学与工程学院, 南京 210094,北京空间飞行器总体设计部 信息中心, 北京 100094
基金项目:“十二五”国防基础科研项目(C0320110002)
摘    要:在航天器型号设计阶段需要利用高性能计算系统开展大量的仿真分析工作,昂贵的许可证资源使用极其紧张,作业计算效率低.针对高性能计算系统中现有作业派发机制未动态考虑高性能运算主机空闲状态的缺陷和不足开展研究,基于资源调度软件Platform LSF,结合航天器仿真分析特点,提出一种新的思路,设计并实现一种新的基于CPU因子(CPU Factor)影响的二次调度算法,CPU因子用于区分不同机器的相对运行速度,仿真结果表明算法能够有效提升作业计算效率,缩短许可证资源占用时间.实际案例说明算法具备推广应用的可能,一定程度的提高了许可证资源利用率,满足了航天器仿真分析过程中对于成本控制和资源精益化利用的实际需求.

关 键 词:高性能计算  调度算法  资源利用率  仿真分析
收稿时间:2017/10/2 0:00:00
修稿时间:2017/10/24 0:00:00

Rescheduling Optimal Algorithm Based on CPU Factor
WANG Zhi-Ji,LI Lun-Bo and WANG Jia-Chun.Rescheduling Optimal Algorithm Based on CPU Factor[J].Computer Systems& Applications,2018,27(6):129-133.
Authors:WANG Zhi-Ji  LI Lun-Bo and WANG Jia-Chun
Affiliation:College of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;Information Center, Beijing Institute of Spacecraft System Engineering, Beijing 100094, China,College of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China and Information Center, Beijing Institute of Spacecraft System Engineering, Beijing 100094, China
Abstract:In the stage of spacecraft model design, the use of expensive licensed resources is extremely tight, the calculation efficiency is low. This study analyzed the shortcomings of the existing job dispatching mechanism in the high performance computing system that without considering the idle state of the high performance host. Based on the platform LSF, combined with the characteristics of spacecraft simulation analysis, a new resolution, i.e., rescheduling algorithm based on high CPU factor, which is used to distinguish the relative running speed of different machines, priority has been designed and implemented. The simulation results show that the algorithm can effectively improve the efficiency of the operation and shorten the occupancy time of licensed resources. The practical case shows that the algorithm has the possibility of popularization and application, which can improve the utilization of licensed resources and meet the needs of cost control for spacecraft simulation analysis and the efficacial utilization of resources.
Keywords:HPC  scheduling algorithm  resource utilization  simulation analysis
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