本文選題：巨型機 + 仿真��； 參考：《計算機仿真》2013年04期

【摘要】：在如今的大規(guī)模并行計算中,一般都會使用巨型機作為仿真工具,而巨型機計算資源的有效調(diào)度能很大程度地提高仿真計算速度和資源的使用效率。首先針對當今主流巨型機的結(jié)構(gòu)特點,設計了一種集中控制分布式代理部署的并行計算資源調(diào)度結(jié)構(gòu),然后根據(jù)系統(tǒng)提交審核的仿真計算作業(yè)的任務重要性,提出了一種根據(jù)任務區(qū)分的計算資源自適應調(diào)度策略機制和實現(xiàn)策略機制的主要關鍵算法。通過并行計算仿真的對比和分析,驗證了調(diào)度策略有較好的實際應用效果。
[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】：TP393.01

【參考文獻】

相關期刊論文 前2條

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

2 張峻;龐征斌;鄭義;謝e，

本文編號：1817803