Abstract | ||
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This paper presents a study to parallelize genetic algorithm on cluster of Intel Xeon Phi co-processors. Our study investigates using hybrid MPI and OpenMP to parallelize genetic algorithm (GA) onto high performance computing (HPC) servers included Intel Xeon Phi co-processors. We will revise sequential GA and parallelize the GA into parallel GA, which a highly portable, modern code and optimized in any MIC architectures like Knights Corner (KNC), Knights Landing (KNL), or even the up-coming processors of Intel like Knights Hill by using Intel compiler, MPI and several OpenMP directives. Our implementation is experimented on built-in 50-TFlops Supernode-XP, which is cluster of HPC servers (each server has two Intel Xeon Phi cards). Our simulated result shows that the proposed distributed GA onto cluster of Intel Xeon Phi co-processors (MICs) reduces significant execution time in comparison with sequential GA. |
Year | DOI | Venue |
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2018 | 10.1007/978-3-030-03192-3_35 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
Distributed Genetic Algorithm,Intel Xeon Phi,MIC | Conference | 11251 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nguyen Quang-Hung | 1 | 50 | 6.06 |
Anh-Tu Ngoc Tran | 2 | 0 | 0.34 |
Nam Thoai | 3 | 70 | 18.86 |