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 language | English (US) |
|---|---|
| Pages (from-to) | 2177-2178 |
| Number of pages | 2 |
| Journal | Molecular biology and evolution |
| Volume | 38 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 1 2021 |
| Externally published | Yes |
Keywords
- GPU computing
- dadi
- demographic history
- population genetics
ASJC Scopus subject areas
- Ecology, Evolution, Behavior and Systematics
- Molecular Biology
- Genetics
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