Abstract Erlang-based desynchronized urban traffic simulation for high-performance computing systems
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Erlang-based desynchronized urban traffic simulation for high-performance computing systems

机译:基于Erlang的高性能计算系统的非同步城市交通仿真

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AbstractThe problem of simulating micro-scale urban traffic in large environments provides a great opportunity for the utilization of HPC systems. Parallel implementation of this kind of computation (where complex, data-intensive processing must be synchronized) is not straightforward. The simulation presented in this paper is based on the concept of controlled desynchronization of the computations, which does not violate the model. The implementation in the Erlang language uses Erlang distribution mechanisms for building and managing the computing cluster. The presented method makes it possible to simulate 11.5M cars traversing a road system composed of 240K crossroads and 144M possible locations. It provides a linear scalability of up to 19,200 computing cores (where simulation speeds reach 160 steps per second).HighlightsThe concept of desynchronized traffic simulation is proposed.Its scalable implementation in Erlang technology is presented.The results of experiments involving 19,200 computing cores are discussed.
机译: 摘要 在大型环境中模拟微型城市交通的问题提供了一个很好的解决方案利用HPC系统的机会。这种计算的并行实现(其中必须同步复杂的数据密集型处理)并不简单。本文提出的仿真基于计算的受控去同步概念,并且不违反模型。 Erlang语言的实现使用Erlang分发机制来构建和管理计算集群。所提出的方法使得有可能模拟横穿由240K十字路口和144M可能位置组成的道路系统的1150万辆汽车。它提供了多达19,200个计算核心的线性可扩展性(仿真速度达到每秒160个步骤)。 突出显示 提出了非同步流量仿真的概念。 其在Erlang技术中的可扩展实现。 •< / ce:label> 涉及19,200个计算核心的实验结果是

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