在集群上创建可扩展的流量模拟

Agathocles Gourgoulis, G. Terstyánszky, P. Kacsuk, S. Winter
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引用次数: 16

摘要

我们描述了在并行环境中传输仿真的实现。该实现基于一个称为P-GRADE的图形并行编程环境。这款名为MadCity的交通模拟器可以模拟城市的特定道路网络,并显示道路上行驶的汽车。为了实现流量模拟的可扩展性,使用模板是必要的。这有助于控制模拟所需的参与进程的数量,而无需修改模拟器的源代码。从Parsifal集群的4、8和16个节点收集性能结果,并与模拟器的顺序执行结果进行比较。传输模拟器的实现被进一步扩展,以支持在同一集群和网格上的多个城市的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating scalable traffic simulation on clusters
We describe the implementation of a transport simulation in a parallel environment. The implementation is based on a graphical parallel programming environment called P-GRADE. The transport simulator, called MadCity, simulates a specific road network of a city and shows cars moving on the roads. To achieve scalability of the traffic simulation, the use of templates is necessary. This helps to control the number of participating processes required for the simulation without making modifications to the simulator's source code. Performance results are collected from four, eight and sixteen nodes of the Parsifal cluster and compared with the sequential execution results of the simulator. The implementation of the transport simulator is extended further to support the simulation of multiple cities within the same cluster and on the Grid.
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