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README.md

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[![codecov.io](https://codecov.io/github/JuliaParallel/MPI.jl/coverage.svg?branch=master)](https://codecov.io/github/JuliaParallel/MPI.jl?branch=master)
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[![Coverage Status](https://coveralls.io/repos/JuliaParallel/MPI.jl/badge.svg?branch=master&service=github)](https://coveralls.io/github/JuliaParallel/MPI.jl?branch=master)
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This provides [Julia](http://julialang.org/) interface to the Message Passing Interface ([MPI](http://www.mpi-forum.org/)), roughly inspired by [mpi4py](https://github.com/mpi4py/mpi4py/).
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This provides [Julia](https://julialang.org/) interface to the Message Passing Interface ([MPI](https://www.mpi-forum.org/)), roughly inspired by [mpi4py](https://github.com/mpi4py/mpi4py/).
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Please see the [documentation](https://juliaparallel.github.io/MPI.jl/stable/) for instructions on [configuration](https://juliaparallel.github.io/MPI.jl/stable/configuration/) and [usage](https://juliaparallel.github.io/MPI.jl/stable/usage/).
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docs/src/configuration.md

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By default, MPI.jl will download and link against the following MPI implementations:
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- [Microsoft MPI](https://docs.microsoft.com/en-us/message-passing-interface/microsoft-mpi) on Windows
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- [MPICH](http://www.mpich.org/) on all other platforms
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- [MPICH](https://www.mpich.org/) on all other platforms
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This is suitable for most single-node use cases, but for larger systems, such as HPC
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clusters or multi-GPU machines, you will probably want to configure against a
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MPI.jl requires a shared library installation of a C MPI library, supporting the MPI 3.0
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standard or later. The following MPI implementations should work out-of-the-box with MPI.jl:
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- [Open MPI](http://www.open-mpi.org/)
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- [MPICH](http://www.mpich.org/) (v3.1 or later)
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- [Open MPI](https://www.open-mpi.org/)
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- [MPICH](https://www.mpich.org/) (v3.1 or later)
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- [Intel MPI](https://software.intel.com/en-us/mpi-library)
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- [Microsoft MPI](https://docs.microsoft.com/en-us/message-passing-interface/microsoft-mpi)
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- [IBM Spectrum MPI](https://www.ibm.com/us-en/marketplace/spectrum-mpi)
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- [MVAPICH](http://mvapich.cse.ohio-state.edu/)
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- [MVAPICH](https://mvapich.cse.ohio-state.edu/)
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- [Cray MPICH](https://docs.nersc.gov/development/compilers/wrappers/)
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- [Fujitsu MPI](https://www.fujitsu.com/global/about/resources/publications/technicalreview/2020-03/article07.html#cap-03)
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- [HPE MPT/HMPT](https://support.hpe.com/hpesc/public/docDisplay?docLocale=en_US&docId=a00105727en_us)

docs/src/index.md

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# MPI.jl
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This is a basic [Julia](http://julialang.org/) wrapper for the portable message passing
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system Message Passing Interface ([MPI](http://www.mpi-forum.org/)). Inspiration is taken from
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[mpi4py](http://mpi4py.scipy.org), although we generally follow the C and not the C++ MPI API.
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This is a basic [Julia](https://julialang.org/) wrapper for the portable message passing
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system Message Passing Interface ([MPI](https://www.mpi-forum.org/)). Inspiration is taken from
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[mpi4py](https://mpi4py.readthedocs.io/en/stable/), although we generally follow the C and not the C++ MPI API.
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(The C++ MPI API is deprecated.)
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If you use MPI.jl in your work, please cite the following paper:

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