dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing Units

被引:11
|
作者
Gutenkunst, Ryan N. [1 ]
机构
[1] Univ Arizona, Dept Mol & Cellular Biol, Tucson, AZ 85721 USA
基金
美国国家卫生研究院;
关键词
population genetics; demographic history; GPU computing; dadi; DEMOGRAPHIC HISTORY;
D O I
10.1093/molbev/msaa305
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
dadi is a popular but computationally intensive program for inferring models of demographic history and natural selection from population genetic data. I show that running dadi on a Graphics Processing Unit can dramatically speed computation compared with the CPU implementation, with minimal user burden. Motivated by this speed increase, I also extended dadi to four- and five-population models.
引用
收藏
页码:2177 / 2178
页数:2
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