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21st Century Simulation: Exploiting High Performance Computing and Data Analysis

机译:21世纪的仿真:利用高性能计算和数据分析

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摘要

This paper identifies, defines, and analyzes the limitations imposed on Modeling and Simulation by outmodedparadigms in computer utilization and data analysis. The authors then discuss two emerging capabilities toovercome these limitations: High Performance Parallel Computing and Advanced Data Analysis. First, parallelcomputing, in supercomputers and Linux clusters, has proven effective by providing users an advantage incomputing power. This has been characterized as a ten-year lead over the use of single-processor computers.Second, advanced data analysis techniques are both necessitated and enabled by this leap in computing power.JFCOM's JESPP project is one of the few simulation initiatives to effectively embrace these concepts. Thechallenges facing the defense analyst today have grown to include the need to consider operations among non-combatantpopulations, to focus on impacts to civilian infrastructure, to differentiate combatants from non-combatants,and to understand non-linear, asymmetric warfare. These requirements stretch both currentcomputational techniques and data analysis methodologies. In this paper, documented examples and potentialsolutions will be advanced. The authors discuss the paths to successful implementation based on their experience.Reviewed technologies include parallel computing, cluster computing, grid computing, data logging, OpsResearch,database advances, data mining, evolutionary computing, genetic algorithms, and Monte Carlo sensitivity analyses.The modeling and simulation community has significant potential to provide more opportunities for training andanalysis. Simulations must include increasingly sophisticated environments, better emulations of foes, and morerealistic civilian populations. Overcoming the implementation challenges will produce dramatically better insights,for trainees and analysts. High Performance Parallel Computing and Advanced Data Analysis promise increasedunderstanding of future vulnerabilities to help avoid unneeded mission failures and unacceptable personnel losses.The authors set forth road maps for rapid prototyping and adoption of advanced capabilities. They discuss thebeneficial impact of embracing these technologies, as well as risk mitigation required to ensure success.
机译:本文通过计算机利用率和数据分析中过时的范式来识别,定义和分析对建模和仿真的限制。然后作者讨论了克服这些限制的两种新兴功能:高性能并行计算和高级数据分析。首先,在超级计算机和Linux集群中,并行计算通过为用户提供优势的计算能力而被证明是有效的。这被认为是单处理器计算机使用十年的领先者。计算能力的飞跃既需要第二种高级数据分析技术,又使其成为可能.JFCOM的JESPP项目是为数不多的能够有效采用的仿真计划之一这些概念。如今,国防分析师所面临的挑战已经包括:必须考虑非战斗人员之间的行动,着眼于对民用基础设施的影响,使战斗人员与非战斗人员区分开来以及理解非线性,不对称战争。这些要求扩展了当前的计算技术和数据分析方法。本文将进一步介绍实例化的示例和潜在的解决方案。作者根据自己的经验讨论了成功实施的途径,其中包括并行计算,集群计算,网格计算,数据记录,OpsResearch,数据库改进,数据挖掘,进化计算,遗传算法和Monte Carlo敏感性分析等技术。模拟社区具有巨大的潜力,可以提供更多的培训和分析机会。模拟必须包括日益复杂的环境,更好的敌人模拟以及更加现实的平民人口。克服实施挑战将为学员和分析人员带来显着更好的见解。高性能并行计算和高级数据分析有望增强对未来漏洞的了解,以帮助避免不必要的任务失败和不可接受的人员损失。作者提出了快速原型开发和采用高级功能的路线图。他们讨论了采用这些技术的有益影响,以及确保成功所需的降低风险。

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