Difference between revisions of "GARLI"

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{{#if: {{#var: exe}}|==Additional Information==
 
{{#if: {{#var: exe}}|==Additional Information==
See [https://www.nescent.org/wg_garli/FAQ Garli FAQ]  
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See [https://molevol.mbl.edu/index.php/Garli_FAQ Garli FAQ]  
 
While the garli module provides the serial version of Garli there is a garli/2.0-mp module that provides both the multithreaded (OpenMP) and an MPI (OpenMPI) versions of Garli.
 
While the garli module provides the serial version of Garli there is a garli/2.0-mp module that provides both the multithreaded (OpenMP) and an MPI (OpenMPI) versions of Garli.
  
To use the OpenMP version of Garli, you must set the enviroment variables '''OMP_NUM_THREADS''' and '''OMP_THREAD_LIMIT''' to the appropriate values based on the core number request in your submission script. For example if you use #PBS -l nodes=1:ppn=8 in your script, also include export OMP_NUM_THREADS=7; export OMP_THREAD_LIMIT=8 (for a bash script) in the script itself (see the [http://www.google.com/url?sa=t&source=web&cd=2&sqi=2&ved=0CBkQFjAB&url=http%3A%2F%2Fhelix.nih.gov%2FApplications%2Fvelvet_manual.pdf&rct=j&q=velvet%20assembler%20manual&ei=Lr1WToqdIsGG0QGJyamyDA&usg=AFQjCNH2VB2-la3kWazMqdl3ms-xkCocVw user manual] for more information). To decide whether the performance gain with the multithreaded version is worth it for your particular job see the  [https://www.nescent.org/wg_garli/FAQ#Should_I_use_a_multi-threaded_.28openMP.29_version_of_GARLI_if_I.E2.80.99m_using_a_computer_with_multiple_processors.2Fcores.3F Garli FAQ on using the OpenMP version].
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To use the OpenMP version of Garli, you must set the environment variables '''OMP_NUM_THREADS''' and '''OMP_THREAD_LIMIT''' to the appropriate values based on the core number request in your submission script. For example if you use #SBATCH --cpus-per-task=8 in your script, also include export OMP_NUM_THREADS=7; export OMP_THREAD_LIMIT=8 (for a bash script) in the script itself. To decide whether the performance gain with the multithreaded version is worth it for your particular job see the  [https://molevol.mbl.edu/index.php/Garli_FAQ#Should_I_use_a_multi-threaded_.28openMP.29_version_of_GARLI_if_I.E2.80.99m_using_a_computer_with_multiple_processors.2Fcores.3F Garli FAQ on using the OpenMP version].
  
The MPI version of Garli is discussed in the [https://www.nescent.org/wg_garli/FAQ#What_is_the_parallel_MPI_version_of_GARLI.3F_Should_I_use_it.3F Garli FAQ]. See the FAQ entry help to decide whether it is appropriate to use the MPI version of Garli for your job. If you decide to use the MPI version of Garli, use the <code>mpiexec</code> MPI wrapper to run it. For example,
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The MPI version of Garli is discussed in the [https://molevol.mbl.edu/index.php/Garli_FAQ#What_is_the_parallel_MPI_version_of_GARLI.3F_Should_I_use_it.3F Garli FAQ]. See the FAQ entry help to decide whether it is appropriate to use the MPI version of Garli for your job. If you decide to use the MPI version of Garli, use the <code>mpiexec</code> MPI wrapper to run it. For example,
  mpiexec -np 12 Garli-mpi 12
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  mpiexec Garli-mpi 12
 
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{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==

Revision as of 11:34, 3 June 2016

Description

garli website  

GARLI is a program that performs phylogenetic inference using the maximum-likelihood criterion. Several sequence types are supported, including nucleotide, amino acid and codon. Version 2.0 adds support for partitioned models and morphology-like datatypes.

Required Modules

modules documentation

Serial

  • garli

Parallel (OpenMP)

  • intel
  • garli

Parallel (MPI)

  • intel
  • openmpi
  • garli

Additional Information

See Garli FAQ While the garli module provides the serial version of Garli there is a garli/2.0-mp module that provides both the multithreaded (OpenMP) and an MPI (OpenMPI) versions of Garli.

To use the OpenMP version of Garli, you must set the environment variables OMP_NUM_THREADS and OMP_THREAD_LIMIT to the appropriate values based on the core number request in your submission script. For example if you use #SBATCH --cpus-per-task=8 in your script, also include export OMP_NUM_THREADS=7; export OMP_THREAD_LIMIT=8 (for a bash script) in the script itself. To decide whether the performance gain with the multithreaded version is worth it for your particular job see the Garli FAQ on using the OpenMP version.

The MPI version of Garli is discussed in the Garli FAQ. See the FAQ entry help to decide whether it is appropriate to use the MPI version of Garli for your job. If you decide to use the MPI version of Garli, use the mpiexec MPI wrapper to run it. For example,

mpiexec Garli-mpi 12