RAxML-Light: a tool for computing terabyte phylogenies - PubMed (original) (raw)

RAxML-Light: a tool for computing terabyte phylogenies

A Stamatakis et al. Bioinformatics. 2012.

Abstract

Motivation: Due to advances in molecular sequencing and the increasingly rapid collection of molecular data, the field of phyloinformatics is transforming into a computational science. Therefore, new tools are required that can be deployed in supercomputing environments and that scale to hundreds or thousands of cores.

Results: We describe RAxML-Light, a tool for large-scale phylogenetic inference on supercomputers under maximum likelihood. It implements a light-weight checkpointing mechanism, deploys 128-bit (SSE3) and 256-bit (AVX) vector intrinsics, offers two orthogonal memory saving techniques and provides a fine-grain production-level message passing interface parallelization of the likelihood function. To demonstrate scalability and robustness of the code, we inferred a phylogeny on a simulated DNA alignment (1481 taxa, 20 000 000 bp) using 672 cores. This dataset requires one terabyte of RAM to compute the likelihood score on a single tree. CODE AVAILABILITY: https://github.com/stamatak/RAxML-Light-1.0.5 DATA AVAILABILITY: http://www.exelixis-lab.org/onLineMaterial.tar.bz2

Contact: alexandros.stamatakis@h-its.org

Supplementary information: Supplementary data are available at Bioinformatics online.

PubMed Disclaimer

Figures

Fig. 1.

Fig. 1.

Parallel execution times of the MPI and PThreads versions under CAT and Γ on a DNA dataset with 150 taxa and 20 000 000 sites

Similar articles

Cited by

References

    1. Ayres D., et al. BEAGLE: an application programming interface and high-performance computing library for statistical phylogenetics. Syst. Biol. 2011;61:170–173. - PMC - PubMed
    1. Izquierdo-Carrasco F., et al. Algorithms, data structures, and numerics for likelihood-based phylogenetic inference of huge trees. BMC Bioinformatics. 2011a;12:470. - PMC - PubMed
    1. Izquierdo-Carrasco F., et al. Trading memory for running time in phylogenetic likelihood computations. Heidelberg Institute for Theoretical Studies; 2011b. Technical report.
    1. Ott M., et al. Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L. Proceedings of IEEE/ACM Supercomputing Conference 2007 (SC2007). 2007
    1. Rambaut A., Grass N. Seq-gen: an application for the monte carlo simulation of dna sequence evolution along phylogenetic trees. Comput. Appl. Biosci. 1997;13:235. - PubMed

Publication types

MeSH terms

LinkOut - more resources