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

被引：1

作者：

Umemoto, Daigo ^{[1
]}

Ito, Nobuyasu ^{[1
,2
]}

机构：

[1] RIKEN Ctr Computat Sci, Chuo Ku, 7-1-26 Minatojima Minami Machi, Kobe, Hyogo 6500047, Japan

[2] Univ Tokyo, Grad Sch Engn, Dept Appl Phys, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan

来源：

JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE | 2019年 / 2卷 / 01期

关键词：

Traffic flow; High-performance computing; Multi agent social simulation;

D O I：

10.1007/s42001-019-00040-0

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

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.

引用

页码：97 / 101

页数：5

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