DocumentCode
3758834
Title
Research on parallel F-statistics estimation algorithm based on OpenMP
Author
Ruiqing Jing;Jun Lu;Jun Li;Kang Wan;Haoyu Zhang
Author_Institution
College of Computer Science and Technology, Heilongjiang University, Harbin, China
fYear
2015
Firstpage
962
Lastpage
965
Abstract
The genetic variation information file of glycine max is adopted as experimental data in this paper. The genetic variation information of soybean is processed and the corresponding algorithm is paralleled by the OpenMP parallel technology. The experiment extracted the corresponding biologic information of population individuals from genetic variation information, implemented corresponding process and calculation. The relevant serial algorithm and parallel algorithm are compared and analyzed. The experiment results show that the efficiency of the data processing and analysis of F statistic are effectively improved by OpenMP parallel technology[1]. It has actual significance on processing massive bioinformatic data.
Keywords
"Sociology","Statistics","Decision support systems","Parallel algorithms"
Publisher
ieee
Conference_Titel
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN
978-1-4799-1979-6
Type
conf
DOI
10.1109/IAEAC.2015.7428699
Filename
7428699
Link To Document