Parallel Particle Swarm Optimization Algorithm Based on CUDA in the AWS Cloud

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...

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Bibliographic Details
Published inInternational Conference on Frontier of Computer Science and Technology (Print) pp. 8 - 12
Main Authors Jianming Li, Wei Wang, Xiangpei Hu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2015
Subjects
Algorithm design and analysis
AWS
CUDA
GPU
Graphics processing units
Instruction sets
Optimization
parallel process
Parallel processing
Particle swarm optimization
Programming
PSO
Online AccessGet full text
ISSN2159-6301
DOI10.1109/FCST.2015.44

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Summary: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.
ISSN:2159-6301
DOI:10.1109/FCST.2015.44