MPI4PY

This page documents how to use the MPI for Python package within a Conda environment.

Using MPI4PY in a Python Script

The installation of mpi4py will be discussed in the following sections. This section provides an example of how mpi4py would be used in a python script after such an installation.

To use MPI in a python script through mpi4py, you must first import it using the following code:

from mpi4py import MPI

Example Script

Here is an example python script mpi4pytest.py that uses MPI:

from mpi4py import MPI
import sys

def print_hello(rank, size, name):
  msg = "Hello World! I am process {0} of {1} on {2}.\n"
  sys.stdout.write(msg.format(rank, size, name))

if __name__ == "__main__":
  size = MPI.COMM_WORLD.Get_size()
  rank = MPI.COMM_WORLD.Get_rank()
  name = MPI.Get_processor_name()

  print_hello(rank, size, name)

The file mpi4pytest.py can be found at /gpfs/runtime/softwareexamples/mpi4py/

Conda Environment

Start by creating and activating a conda environment:

$ module load anaconda/2020.02
$ conda create -n my_env
$ conda activate my_env

Once you have activated your conda environment, run the following commands to install mpi4py:

$ module load mpi/mpi/openmpi_4.0.5_gcc_10.2_slurm20
$ module load gcc/10.2 cuda/11.1.1
$ pip install python=3.7 mpi4py

You may change the python version in the pip command.

To check that the installation process was a success you can run

$ python -c "import mpi4py"

If no errors result from running the command, the installation has worked correctly.

Here is an example batch job script mpi4pytest_conda.sh that uses mpi4pytest.py and the conda environment setup:

#!/bin/bash

#SBATCH -N 2
#SBATCH --mem=1G

module load anaconda/2020.02
source /gpfs/runtime/opt/anaconda/2020.02/etc/profile.d/conda.sh
conda activate my_env
module load mpi/mpi/openmpi_4.0.5_gcc_10.2_slurm20 gcc/10.2 cuda/11.1.1

srun --mpi=pmix python mpi4pytest.py

The example script above runs the python script on two nodes by using the #SBATCH -N 2 command. For more information on #SBATCH options, see our documentation.

Python Virtual Environment

Start by creating and activating a python virtual environment:

$ module load python/2.7.16
$ virtualenv my_env
$ source my_env/bin/activate

Once you have activated your conda environment, run the following command to install mpi4py:

$ python -m pip install mpi4py
$ deactivate

Here is an example batch job script mpi4pytest_virtualenv.sh and the python virtual environment setup:

#!/bin/bash

#SBATCH -N 2
#SBATCH --mem=1G

module load python/2.7.16
module load mpi/mpi/openmpi_4.0.5_gcc_10.2_slurm20 gcc/10.2 cuda/11.1.1
source my_env/bin/activate

srun --mpi=pmix python mpi4pytest.py

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