dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing Units |
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| Authors: | Ryan N Gutenkunst |
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| Affiliation: | Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA |
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| 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/. |
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| Keywords: | population genetics demographic history GPU computing dadi |
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