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MPI Usage

About employing MPI as a distributed runtime backend.

The DAPHNE runtime system is designed with the goal of supporting various distributed runtime that relies on various technologies, e.g. MPI and RPC.

This document shows how a DAPHNE user can execute DAPHNE scripts on a distributed computing environment with the MPI backend implementation of the DAPHNE runtime system. This document assumes that the DAPHNE was build with the --mpi options, if this is not the case please rebuild DAPHNE with the --mpi option ./build.sh --mpi

The DAPHNE build script uses Open MPI. The DAPHNE build script does not configure the Open MPI installation with the SLURM support option. For users who want to add the SLURM, please visit the Open MPI documentation (adding --with-slurm to the build command of the Open MPI libbrary) and edit the DAPHNE build script. Also, users who wants to use other MPI implementations e.g., Intel MPI may edit the corresponding part in the DAPHNE build script.

When DAPHNE is Installed Natively (w/o Container)

  1. Ensure that your system knows about the installed MPI
    -- The PATH and LD_LIBRARY_PATHenvironment variable has to be updated as follows

    export PATH=$PATH:<DAPHNE_INSTALLATION>/thirdparty/installed/bin/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<DAPHNE_INSTALLATION>//thirdparty/installed/lib/

    Please do not forget to replace <DAPHNE_INSTALLATION> with the actual path

  2. Run basic example @ /examples/matrix_addition_for_mpi.daph as follows

    mpirun -np 10 ./bin/daphne --distributed --dist_backend=MPI scripts/examples/matrix_addition_for_mpi.daph

The command above executes 10 processes locally on one machine.

In order to run on a distributed system, you need to provide the machine names or the machinefile which contains the machine names. For instance assuming that my_hostfile is a text file that contains machine names

mpirun -np 10 --hostfile my_hostfile  ./bin/daphne --distributed --dist_backend=MPI scripts/examples/matrix_addition_for_mpi.daph

The command above starts 10 processes distributed on following the hosts in the my_hostfile. For more options, please check the Open MPI documentation.

From a DAPHNE runtime point of view, the --distributed option tells the DAPHNE runtime system to utilize the distributed backend, while the --dist_backend=MPI indicate the type of the backend implementation.

When DAPHNE is Installed with Containers (e.g. singularity)

The main difference is that the mpirun command is called at the level of the container as follows

mpirun -np 10 singularity exec <singularity-image> daphne/bin/daphne --distributed   --dist_backend=MPI --vec --num-threads=2 daphne/scripts/examples/matrix_addition_for_mpi.daph

Please do not forget to replace <singularity-image> with the actual singularity image.