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Document: examl
Title: The ExaML v3.0.X Manual
Author: Alexandros Stamatakis
Abstract:
Exascale Maximum Likelihood (ExaML) is a code for phylogenetic inference using
MPI. This code implements the popular RAxML search algorithm for maximum
likelihood based inference of phylogenetic trees.
ExaML is a strapped-down light-weight version of RAxML for phylogenetic
inference on huge datasets. It can only execute some very basic functions and is
intended for computer-savvy users that can write little perl-scripts and have
experience using queue submission scripts for clusters. ExaML only implements
the CAT and GAMMA models of rate heterogeneity for binary, DNA, and protein
data.
ExaML uses a radically new MPI parallelization approach that yields improved
parallel efficiency, in particular on partitioned multi-gene or whole-genome
datasets. It also implements a new load balancing algorithm that yields better
parallel efficiency.
It is up to 4 times faster than its predecessor RAxML-Light [1] and scales to a
larger number of processors.
Section: Science/Biology
Format: pdf
Files: /usr/share/doc/examl/ExaML.pdf.gz
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