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Large-scale parallel execution of urban-scale traffic simulation and its performance on K computer

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Abstract

We attempt to perform many-case urban-scale traffic simulations by performing massive parallel computing using K computer, and CARAVAN job manager. We obtain 1025 variations of simulation results with the same condition and different random seeds within 13 h. Each of simulation runs took about 6 h, which is twice longer than the case of using conventional workstations or clusters, and our approach allows further massive parallel computation. The performance and limitations when using K computer are discussed.

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Authors and Affiliations

  1. RIKEN Center for Computational Sciences, 7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan

    Daigo Umemoto & Nobuyasu Ito

  2. Department of Applied Physics, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Nobuyasu Ito

Authors
  1. Daigo Umemoto
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  2. Nobuyasu Ito
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Corresponding author

Correspondence to Daigo Umemoto.

Additional information

Supported by MEXT as “Exploratory Challenges on Post-K computer (studies of multi-level spatiotemporal simulation of socioeconomic phenomena)”.

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Umemoto, D., Ito, N. Large-scale parallel execution of urban-scale traffic simulation and its performance on K computer. J Comput Soc Sc 2, 97–101 (2019). https://doi.org/10.1007/s42001-019-00040-0

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  • DOI: https://doi.org/10.1007/s42001-019-00040-0

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