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一種基于任務(wù)區(qū)分的仿真資源調(diào)度策略研究

發(fā)布時(shí)間:2018-04-29 01:30

  本文選題:巨型機(jī) + 仿真。 參考:《計(jì)算機(jī)仿真》2013年04期


【摘要】:在如今的大規(guī)模并行計(jì)算中,一般都會(huì)使用巨型機(jī)作為仿真工具,而巨型機(jī)計(jì)算資源的有效調(diào)度能很大程度地提高仿真計(jì)算速度和資源的使用效率。首先針對(duì)當(dāng)今主流巨型機(jī)的結(jié)構(gòu)特點(diǎn),設(shè)計(jì)了一種集中控制分布式代理部署的并行計(jì)算資源調(diào)度結(jié)構(gòu),然后根據(jù)系統(tǒng)提交審核的仿真計(jì)算作業(yè)的任務(wù)重要性,提出了一種根據(jù)任務(wù)區(qū)分的計(jì)算資源自適應(yīng)調(diào)度策略機(jī)制和實(shí)現(xiàn)策略機(jī)制的主要關(guān)鍵算法。通過并行計(jì)算仿真的對(duì)比和分析,驗(yàn)證了調(diào)度策略有較好的實(shí)際應(yīng)用效果。
[Abstract]:In today's large-scale parallel computing, supercomputers are generally used as simulation tools, and the efficient scheduling of supercomputer computing resources can greatly improve the speed of simulation computation and the efficiency of the use of resources. Firstly, according to the structural characteristics of the mainstream supercomputers, a parallel computing resource scheduling architecture with centralized control over the deployment of distributed agents is designed, and then the task importance of the simulation computing job submitted for verification by the system is presented. In this paper, an adaptive scheduling policy mechanism for computing resources and a key algorithm for implementing the policy mechanism based on task differentiation are proposed. Through the comparison and analysis of parallel computing simulation, it is verified that the scheduling strategy has good practical application effect.
【作者單位】: 第二炮兵裝備研究院第二研究所;
【基金】:第二炮兵裝備研究院青年創(chuàng)新基金
【分類號(hào)】:TP393.01

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 弋瑞錄;胡飛;奚水清;侯雪梅;;基于LSF集群系統(tǒng)的分布式并行計(jì)算[J];測(cè)控技術(shù);2006年07期

2 張峻;龐征斌;鄭義;謝e,

本文編號(hào):1817803


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