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dadi.CUDA: Accelerating Population Genetics Inference with Graphics Processing Units
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DOI：10.1093/molbev/msaa305.png)
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Abstract
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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.
Keywords:
population genetics
demographic history
GPU computing
dadi
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