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
收藏
页码：97 / 101
页数：5
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