Many-core algorithms for high-dimensional gradients on phylogenetic trees.

Karthik GangavarapuXiang JiGuy BaeleMathieu FourmentPhilippe Lemey Frederick A Matsen Marc A Suchard

Published in: Bioinformatics (Oxford, England) (2024)

We provide an implementation of our GPU algorithms in BEAGLE v4.0.0 (https://github.com/beagle-dev/beagle-lib), an open-source library for statistical phylogenetics that enables parallel calculations on multi-core CPUs and GPUs. We employ a BEAGLE-implementation using the Bayesian phylogenetics framework BEAST (https://github.com/beast-dev/beast-mcmc).

Keyphrases

machine learning
primary care
healthcare
deep learning
quality improvement
molecular dynamics
molecular dynamics simulations
density functional theory