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

Research output: Contribution to journalArticlepeer-review

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/.

Original languageEnglish (US)
Pages (from-to)2177-2178
Number of pages2
JournalMolecular biology and evolution
Volume38
Issue number5
DOIs
StatePublished - May 1 2021

Keywords

  • dadi
  • demographic history
  • GPU computing
  • population genetics

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics

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