10.1. Quick start: Launching MPI applications — Open MPI 5.0.0 documentation

# 10.1. Quick start: Launching MPI applications

Although this section skips many details, it offers examples that will probably work in many environments.

Caution

Note that this section is a “Quick start” — it does not attempt to be comprehensive or describe how to build Open MPI in all supported environments. The examples below may therefore not work exactly as shown in your environment.

Please consult the other sections in this chapter for more details, if necessary.

## 10.1.1. Using `mpirun` to launch applications

Open MPI supports both mpirun(1) and mpiexec(1) (they are exactly equivalent) to launch MPI applications. For example:

    shell$ mpirun -n 2 mpi-hello-world
    # or
    shell$ mpiexec -n 2 mpi-hello-world
    # or
    shell$ mpiexec -n 1 mpi-hello-world : -n 1 mpi-hello-world

are all equivalent. For simplicity, the rest of this documentation will simply refer to `mpirun`.

### 10.1.1.1. Other `mpirun` options

`mpirun` supports the `--help` option which provides a usage message and a summary of the options that it supports. It should be considered the definitive list of what options are provided.

Several notable options are:

- `--hostfile`: Specify a hostfile for launchers (such as the `rsh` launcher) that need to be told on which hosts to start parallel applications. Note that for compatibility with other MPI implementations, –machinefile is a synonym for `--hostfile`.

- `--host`: Specify a host or list of hosts to run on (see this FAQ entry for more details).

- `-n`: Indicate the number of processes to start.

- `--mca`: Set MCA parameters (see how to set MCA params for more details).

- `--wdir DIRECTORY`: Set the working directory of the started applications. If not supplied, the current working directory is assumed (or `$HOME`, if the current working directory does not exist on all nodes).

- `-x ENV_VARIABLE_NAME`: The name of an environment variable to export to the parallel application. The `-x` option can be specified multiple times to export multiple environment variables to the parallel application.

Note that the mpirun(1) command supports a large number of options. Be sure to see the mpirun(1) man page for much more information.

## 10.1.2. Launching on a single host

It is common to develop MPI applications on a single laptop or workstation. In such simple “single program, multiple data (SPMD)” cases, use mpirun(1) and specify how many MPI processes you want to launch via the `-n` option:

    shell$ mpirun -n 6 mpi-hello-world
    Hello world, I am 0 of 6 (running on my-laptop))
    Hello world, I am 1 of 6 (running on my-laptop)
    ...
    Hello world, I am 5 of 6 (running on my-laptop)

This starts a six-process parallel application, running six copies of the executable named `mpi-hello-world`.

If you do not specify the `-n` option, mpirun(1) will default to launching as many MPI processes as there are processor cores (not hyperthreads) on the machine.

## 10.1.3. Launching in a non-scheduled environments (via `ssh`)

In general, Open MPI requires the following to launch and run MPI applications:

1. You must be able to login to remote nodes non-interactively (e.g., without entering a password or passphrase).

2. Open MPI’s executables must be findable (e.g., in your `PATH`).

3. Open MPI’s libraries must be findable (e.g., in your `LD_LIBRARY_PATH`).

mpirun(1) accepts a `--hostfile` option (and its synonym, the `--machinefile` option) to specify a hostfile containing one hostname per line:

    shell$ cat my-hostfile.txt
    node1.example.com
    node2.example.com
    node3.example.com slots=2
    node4.example.com slots=10

The optional `slots` attribute tells Open MPI the maximum number of processes that can be allocated to that node. If `slots` is not provided, Open MPI — by default — uses the number of processor cores (not hyperthreads) on that node.

Assuming that each of the 4 nodes in my-hostfile.txt have 16 cores:

    shell$ mpirun --hostfile my-hostfile.txt mpi-hello-world
    Hello world, I am 0 of 44 (running on node1.example.com)
    Hello world, I am 1 of 44 (running on node1.example.com)
    ...
    Hello world, I am 15 of 44 (running on node1.example.com)
    Hello world, I am 16 of 44 (running on node2.example.com)
    Hello world, I am 17 of 44 (running on node2.example.com)
    ...
    Hello world, I am 31 of 44 (running on node2.example.com)
    Hello world, I am 32 of 44 (running on node3.example.com)
    Hello world, I am 33 of 44 (running on node3.example.com)
    Hello world, I am 34 of 44 (running on node4.example.com)
    ...
    Hello world, I am 43 of 44 (running on node4.example.com)

You can see the breakdown of how many processes Open MPI launched on each node:

- node1: 16, because no `slots` was specified

- node2: 16, because no `slots` was specified

- node3: 2, because `slots=2` was specified

- node2: 10, because `slots=10` was specified

Note, however, that not all environments require a hostfile. For example, Open MPI will automatically detect when it is running in batch / scheduled environments (such as Slurm, PBS/Torque, SGE, LoadLeveler), and will use host information provided by those systems.

Also note that if using a launcher that requires a hostfile and no hostfile is specified, all processes are launched on the local host.

## 10.1.4. Launching in scheduled environments

In scheduled environments (e.g., in a Slurm job, or PBS/Pro, or LSF, or any other schedule), the user tells the scheduler how many MPI processes to launch, and the scheduler decides which hosts to use. The scheduler then passes both pieces of information (the number of processes and the hosts to use) to Open MPI.

There are two ways to launch in a scheduled environment. Nominally, they both achieve the same thing: they launch MPI processes. Them main user-observable difference between the two methods is that mpirun(1) has many more features than scheduler direct launchers.

### 10.1.4.1. Using Open MPI’s mpirun(1)

Note

Technically, Open MPI’s mpirun(1) is a thin layer around the PRRTE `prun`. Hence, most of the functionality described here is really about `prun`. For simplicity, however, this docmentation will describe everything in terms of `mpirun`.

When using the full-featured mpirun(1) in a scheduled environment, there is no need to specify a hostfile or number of MPI processes to launch. mpirun(1) will receive this information directly from the scheduler. Hence, if you want to launch an MPI job that completely “fills” your scheduled allocation (i.e., one MPI process for each slot in the scheduled allocation), you can simply:

    # Write a script that runs your MPI application
    shell$ cat my-slurm-script.sh
    #!/bin/sh
    # There is no need to specify -n or --hostfile because that
    # information will automatically be provided by Slurm.
    mpirun mpi-hello-world

You then submit the `my-slurm-script.sh` script to Slurm for execution:

    # Use -n to indicate how many MPI processes you want to run.
    # Slurm will pick the specific hosts which will be used.
    shell$ sbatch -n 40 my-slurm-script.sh
    Submitted batch job 1234
    shell$

After Slurm job 1234 completes, you can look at the output file to see what happened:

    shell$ cat slurm-1234.out
    Hello world, I am 0 of 40 (running on node37.example.com)
    Hello world, I am 1 of 40 (running on node37.example.com)
    Hello world, I am 2 of 40 (running on node37.example.com)
    ...
    Hello world, I am 39 of 40 (running on node19.example.com)

Note that the Slurm scheduler picked the hosts on which the processes ran.

The above example shows that simply invoking `mpirun mpi-hello-world` — with no other CLI options — obtains the number of processes to run and hosts to use from the scheduler.

mpirun(1) has many more features not described in this Quick Start section. For example, while uncommon in scheduled environments, you can use `-n` and/or `--hostfile` to launch in subsets of the overall scheduler allocation. See the mpirun(1) man page for more details.

### 10.1.4.2. Using the scheduler to “direct launch” (without mpirun(1))

Some schedulers (such as Slurm) have the ability to “direct launch” MPI processes without using Open MPI’s mpirun(1). For example:

    shell$ srun -n 40 mpi-hello-world
    Hello world, I am 0 of 40 (running on node14.example.com)
    Hello world, I am 1 of 40 (running on node14.example.com)
    Hello world, I am 2 of 40 (running on node14.example.com)
    ...
    Hello world, I am 39 of 40 (running on node203.example.com)
    shell$

Similar to the prior example, this example launches 40 copies of `mpi-hello-world`, but it does so via the Slurm `srun` command without using mpirun(1).