Parallel Particle swarm optimization Algorithm based on CUDA in the AWS Cloud

被引：7
|
作者：
Li, Jianming [1 ]
Wang, Wei [1 ]
Hu, Xiangpei [2 ]
机构：
[1] Dalian Univ Technol, Sch Comp Sci, Dalian 116023, Liaoning Provin, Peoples R China
[2] Dalian Univ Technol, Dalian 116023, Liaoning Provin, Peoples R China
来源：
2015 NINTH INTERNATIONAL CONFERENCE ON FRONTIER OF COMPUTER SCIENCE AND TECHNOLOGY FCST 2015 | 2015年
关键词：
PSO; AWS; GPU; CUDA; parallel process;
D O I：
10.1109/FCST.2015.44
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The algorithm of Particle Swarm Optimization (PSO) will be very time-consuming when deal with the large-scale problem. A parallel algorithm of PSO based on CUDA in the AWS Cloud is approached to speed up the process and improve the efficiency of the algorithm. The experimental results demonstrate up to 80 times speedup compared to run the PSO algorithm on local CPU.
引用
收藏
页码：8 / 12
页数：5
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