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Co-authored-by: Michael Schlottke-Lakemper <[email protected]>
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docs/src/configuration.md

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@@ -110,8 +110,9 @@ You can use the argument `mpiexec` to provide the name (or full path) of the MPI
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`mpiexec`, but some clusters require using the scheduler launcher interface (e.g. `srun`
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on Slurm, `aprun` on PBS). If the MPI library has an uncommon name you can provide it in `library_names`.
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The MPI standard does not specify the exact application binary interface (ABI).
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In case ABI detection fails you can provide a manual choice,
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but also open an issue so that the auto-detection can be improved. `export_prefs=true` can be used to copy the preferences into the `Project.toml` instead of creating a
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In case ABI detection fails you can provide a manual choice (either `MPICH`, `MPItrampoline`, `OpenMPI`, or `MicrosoftMPI`),
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but also open an issue such that the automatic detection can be improved.
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`export_prefs=true` can be used to copy the preferences into the `Project.toml` instead of creating a
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`LocalPreferences.toml` file to hold them.
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#### Notes to HPC cluster adminstators
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- `JULIA_MPI_TEST_NPROCS`: How many ranks to use within the tests
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- `JULIA_MPI_TEST_ARRAYTYPE`: Set to `CuArray` to test the CUDA-aware interface with
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[`CUDA.CuArray](https://github.com/JuliaGPU/CUDA.jl) buffers.
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- `JULIA_MPI_TEST_BINARY`: Check that the correct MPI binary is used for the tests
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- `JULIA_MPI_TEST_ABI`: Check that the correct MPI ABI is used for the tests
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- `JULIA_MPI_TEST_BINARY`: Check that the specified MPI binary is used for the tests
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- `JULIA_MPI_TEST_ABI`: Check that the specified MPI ABI is used for the tests

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