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66 changes: 42 additions & 24 deletions docs/software/communication/openmpi.md
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[Cray MPICH][ref-communication-cray-mpich] is the recommended MPI implementation on Alps.
However, [OpenMPI](https://www.open-mpi.org/) can be used as an alternative in some cases, with limited support from CSCS.

To use OpenMPI on Alps, it must be built against [libfabric][ref-communication-libfabric] with support for the [Slingshot 11 network][ref-alps-hsn].
Support for the [Slingshot 11 network][ref-alps-hsn] is provided by the [libfabric][ref-communication-libfabric] library.

## Using OpenMPI

!!! warning
Building and using OpenMPI on Alps is still [work in progress](https://eth-cscs.github.io/cray-network-stack/).
The instructions found on this page may be inaccurate, but are a good starting point to using OpenMPI on Alps.

!!! todo
Deploy experimental uenv.

!!! todo
Document OpenMPI uenv next to prgenv-gnu, prgenv-nvfortran, and linalg?

OpenMPI is provided through a [uenv][ref-uenv] similar to [`prgenv-gnu`][ref-uenv-prgenv-gnu].
OpenMPI is provided in the [`prgenv-gnu-openmpi`][ref-uenv-prgenv-gnu-openmpi] uenv.
Once the uenv is loaded, compiling and linking with OpenMPI and libfabric is transparent.
At runtime, some additional options must be set to correctly use the Slingshot network.

Expand All @@ -32,27 +22,55 @@ Additionally, the following environment variables should be set:
```bash
export PMIX_MCA_psec="native" # (1)!
export FI_PROVIDER="cxi" # (2)!
export OMPI_MCA_pml="^ucx" # (3)!
export OMPI_MCA_pml="cm" # (3)!
export OMPI_MCA_mtl="ofi" # (4)!
```

1. Ensures PMIx uses the same security domain as Slurm. Otherwise PMIx will print warnings at startup.
2. Use the CXI (Slingshot) provider.
3. Use anything except [UCX](https://openucx.org/documentation/) for [point-to-point communication](https://docs.open-mpi.org/en/v5.0.x/mca.html#selecting-which-open-mpi-components-are-used-at-run-time). The `^` signals that OpenMPI should exclude all listed components.
3. Use CM for [point-to-point communication](https://docs.open-mpi.org/en/v5.0.x/mca.html#selecting-which-open-mpi-components-are-used-at-run-time).
4. Use libfabric for the [Matching Transport Layer](https://docs.open-mpi.org/en/v5.0.x/mca.html#frameworks).

!!! info "CXI provider does all communication through the network interface cards (NICs)"
When using the libfabric CXI provider, all communication goes through NICs, including intra-node communication.
This means that intra-node communication can not make use of shared memory optimizations and the maximum bandwidth will not be severely limited.
This means that intra-node communication can not make use of shared memory optimizations and the maximum bandwidth will be severely limited.
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I'd move this note higher up (at the beginning of the section), so that the limitation is clear from the start, and add a link to the next section in this note. Something like "For an experimental workaround to this limitation, see 'Using the external LINKx provider'".


### Using the experimental LINKx provider

The default configuration routes all communication through the NICs.
While performance may sometimes be acceptable, this mode does not make full use of the much higher intra-node bandwidth available on Grace-Hopper nodes.
In particular, GPU-GPU communication is significantly faster when using the appropriate intra-node links.

The experimental [LINKx](https://ofiwg.github.io/libfabric/v2.3.1/man/fi_lnx.7.html) libfabric provider allows composing multiple libfabric providers for inter- and intra-node communication.
The CXI provider can be used for inter-node communication while the shared memory (`shm`) provider can be used to take advantage of xpmem for CPU-CPU communication and GDRCopy for GPU-GPU communication.

!!! warning "The LINKx provider is experimental and may contain bugs, in particular for intra-node communication"
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!!! warning "The LINKx provider is experimental and may contain bugs, in particular for intra-node communication"
!!! danger "The LINKx provider is experimental and may contain bugs, in particular for intra-node communication"

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I may actually go the opposite direction... The LINKx provider is experimental and it was buggy until very recently. In my latest tests, however, it's actually been very good. I may be too naive in thinking that the LINKx provider is working well for most applications though. My tests are primarily OSU...

In principle I'd like to promote LINKx as the default/primary choice and point users to CXI-only as a fallback in case they encounter issues.

In the user's shoes, how upset would you be if we recommend LINKx as the first option, only for you to find out that your application crashes with it? Or conversely, how upset would you be if you play it safe with CXI as the default choice, and then you figure out later you've been leaving a lot of performance on the table by not using LINKx even though it works just fine?


A patch has been included in the [`prgenv-gnu-openmpi`][ref-uenv-prgenv-gnu-openmpi] uenv for [this LINKx issue](https://github.com/ofiwg/libfabric/issues/11231).
However, the patch may be incomplete and other issues may still be present.
Always validate your results to ensure MPI is working correctly.

To use the LINKx provider, set `--mpi=pmix`, as without the LINKx provider.
Additionally, set the following environment variables:

```bash
export PMIX_MCA_psec="native"
export FI_PROVIDER="lnx" # (1)!
export FI_LNX_PROV_LINKS="shm+cxi:cxi0|shm+cxi:cxi1|shm+cxi:cxi2|shm+cxi:cxi3" # (2)!
export FI_SHM_USE_XPMEM=1 # (3)!
export OMPI_MCA_pml="cm"
export OMPI_MCA_mtl="ofi"
export OMPI_MCA_mtl_ofi_av=table # (4)!
```

Libfabric has a new [LINKx](https://ofiwg.github.io/libfabric/v2.1.0/man/fi_lnx.7.html) provider, which allows using different libfabric providers for inter- and intra-node communication.
This provider is not as well tested, but can in theory perform better for intra-node communication, because it can use shared memory.
To use the LINKx provider, set the following, instead of `FI_PROVIDER=cxi`:
1. Use the libfabric LINKx provider, to allow using different libfabric providers for inter- and intra-node communication.
2. Specify which providers LINKx should use.
Use the shared memory provider for intra-node communication and the CXI (Slingshot) provider for inter-node communication.
Choose one of the four available NICs on a node in a round-robin fashion.
3. Explicitly use xpmem for CPU-CPU communication.
The default is to use CMA.
4. The LINKx provider requires this option to be set. TODO: Better explanation?

```bash
export FI_PROVIDER="lnx" # (1)!
export FI_LNX_PROV_LINKS="shm+cxi" # (2)!
```
## Known issues

1. Use the libfabric LINKx provider, to allow using different libfabric providers for inter- and intra-node communication.
2. Use the shared memory provider for intra-node communication and the CXI (Slingshot) provider for inter-node communication.
TODO: async collectives don't work.
4 changes: 4 additions & 0 deletions docs/software/prgenv/index.md
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Expand Up @@ -10,6 +10,10 @@ CSCS provides "programming environments" on Alps vClusters that provide compiler
Provides compilers, MPI, tools and libraries built around the GNU compiler toolchain.
It is the go to programming environment on all systems and target node types, that is it is the first that you should try out when starting to compile an application or create a python virtual environment.

- :fontawesome-solid-layer-group: [__prgenv-gnu-openmpi__][ref-uenv-prgenv-gnu-openmpi] uenv

Same as [`prgenv-gnu`][ref-uenv-prgenv-gnu] but with OpenMPI instead of Cray MPICH.

- :fontawesome-solid-layer-group: [__prgenv-nvfortran__][ref-uenv-prgenv-nvfortran] uenv

Provides a set of tools and libraries for building applications that need the NVIDIA Fortran compiler, commonly required for OpenACC and CUDA-Fortran applications.
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[](){#ref-uenv-prgenv-gnu-openmpi}
# prgenv-gnu-openmpi

The `prgenv-gnu-openmpi` uenv is otherwise similar to [`prgenv-gnu`][ref-uenv-prgenv-gnu] except it provides OpenMPI instead of Cray MPICH.

!!! warning "OpenMPI is not officially supported on CSCS systems"
Cray MPICH is the preferred, and officially supported, MPI implementation on CSCS systems.
OpenMPI is provided on a best effort basis.
While most applications should work correctly with OpenMPI, there may be missing features, broken functionality, or bad performance compared to Cray MPICH.
Issues are best reported upstream, but CSCS is happy to help facilitate and coordinate issue reporting if you [get in touch][ref-get-in-touch].

Use of the uenv is similar to [`prgenv-gnu`][ref-uenv-prgenv-gnu].
See the [OpenMPI documentation][ref-communication-openmpi] for important information on configuring OpenMPI to take advantage of the Slingshot network.

### Versions

=== "25.11"
TODO
2 changes: 2 additions & 0 deletions docs/software/prgenv/prgenv-gnu.md
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Expand Up @@ -10,6 +10,8 @@ It is the go to programming environment on all systems and target node types, th

The [`linalg`][ref-uenv-linalg] environment is similar to prgenv-gnu, with additional linear algebra and mesh partitioning algorithms.

The [`prgenv-gnu-openmpi`][ref-uenv-prgenv-gnu-openmpi] is otherwise similar to `prgenv-gnu`, but provides OpenMPI instead of Cray MPICH.

[](){#ref-uenv-prgenv-gnu-versioning}
## Versioning

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