Abstract
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. This functionality is available in dadi version 2.1.0, https://bitbucket.org/gutenkunstlab/dadi/.
Author supplied keywords
Cite
CITATION STYLE
Gutenkunst, R. N. (2021). Dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing Units. Molecular Biology and Evolution, 38(5), 2177–2178. https://doi.org/10.1093/molbev/msaa305
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.