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MOBILE AGENT-BASED COMPUTATIONAL STEERING FOR DISTRIBUTED SIMULATION

机译:基于移动代理的分布式仿真计算转向

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Two challenging problems in the area of scientific computation are long computation time and large-scale, distributed, and diverse data sets. As the scale of science and engineering applications rapidly expands, these two problems become more manifest than ever. This paper presents the concept of Mobile Agent-based Computational Steering (MACS) for distributed simulation. The MACS allows users to apply new or modified algorithms to a running application by altering certain sections of the program code without the need of stopping the execution and recompiling the program code. The concept has been validated through an application for dynamic CFD data post processing. The validation results show that the MACS has a great potential to enhance productivity and data manageability of large-scale distributed computational systems.
机译:科学计算领域的两个具有挑战性的问题是计算时间长以及大规模,分布式和多样化的数据集。随着科学和工程应用规模的迅速扩大,这两个问题比以往任何时候都更加明显。本文提出了用于分布式仿真的基于移动代理的计算指导(MACS)的概念。 MACS允许用户通过更改程序代码的某些部分,将新的或修改的算法应用于正在运行的应用程序,而无需停止执行并重新编译程序代码。该概念已通过用于动态CFD数据后处理的应用程序进行了验证。验证结果表明,MACS在提高大规模分布式计算系统的生产率和数据可管理性方面具有巨大潜力。

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