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Exascale Maximum Likelihood (ExaML) code for phylogenetic inference using MPI
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README.md

README.md

ExaML

Exascale Maximum Likelihood (ExaML) code for phylogenetic inference using MPI.

This code implements the popular RAxML search algorithm for maximum likelihood based inference of phylogenetic trees. It uses a radically new MPI parallelization approach that yields improved parallel efficiency, in particular on partitioned multi-gene or whole-genome datasets.

It is up to 4 times faster than RAxML-Light [1].

As RAxML-Light, ExaML also implements checkpointing, SSE3, AVX vectorization and memory saving techniques.

[1] A. Stamatakis, A.J. Aberer, C. Goll, S.A. Smith, S.A. Berger, F. Izquierdo-Carrasco: "RAxML-Light: A Tool for computing TeraByte Phylogenies", Bioinformatics 2012; doi: 10.1093/bioinformatics/bts309.

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