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

Mol Biol Evol

Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.

Published: May 2021

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/.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097298PMC
http://dx.doi.org/10.1093/molbev/msaa305DOI Listing

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