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Paralle and distributed computation of shortest routes and network equilibrium models

机译:最短路径和网络平衡模型的并行和分布式计算

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We present parallel computing implementations of the linear approximation method for solving the fixed demand network equilibrium problem. As the main computational task is that of computing shortest routes, the paper contains as well parallel computing implementations of a shortest routes algorithm. We used the PVM (Parallel Virtual Machine) environment for distribut for distributed computation on a network of 16 SUN SPARC Ultra 1 workstation operating under SOLARIS 2.4 and on a SUN SPARC center 1000. Then we use the Solaris threads to develop a multithreading parallel implementation on the SUN SPARC Center 1000. Computational results are given for the road network of the cities of Winnipeg, Ottawa and Montreal. The results justify the benefits of the parallel computing implementation.
机译:我们提出用于解决固定需求网络平衡问题的线性逼近方法的并行计算实现。由于主要的计算任务是计算最短路径,因此本文还包含最短路径算法的并行计算实现。我们使用PVM(并行虚拟机)环境在由SOLARIS 2.4运行的16个SUN SPARC Ultra 1工作站和SUN SPARC center 1000的网络上进行分布式计算,然后使用Solaris线程在以下平台上开发多线程并行实现: SUN SPARC Center1000。给出了温尼伯,渥太华和蒙特利尔城市道路网的计算结果。结果证明了并行计算实现的好处。

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