# ANN: MPI.jl v0.10.0: new build process and CUDA-aware support

**URL:** <https://discourse.julialang.org/t/ann-mpi-jl-v0-10-0-new-build-process-and-cuda-aware-support/27601>\
**Category:** Julia at Scale\
**Created:** [August 16, 2019, 4:18am UTC](https://discourse.julialang.org/t/ann-mpi-jl-v0-10-0-new-build-process-and-cuda-aware-support/27601 "2019-08-16T04:18:08Z")\
**Posts on this page:** 1\
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**Author:** ![simonbyrne](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/simonbyrne/32/19_2.png) [@simonbyrne](https://discourse.julialang.org/u/simonbyrne)\
**Post date:** [August 16, 2019, 4:18am UTC](https://discourse.julialang.org/t/ann-mpi-jl-v0-10-0-new-build-process-and-cuda-aware-support/27601/1 "2019-08-16T04:18:08Z")

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I have just tagged a [new version of MPI.jl](https://github.com/JuliaParallel/MPI.jl/releases/tag/v0.10.0). Though the user-facing interface is largely the same, there has been extensive work underneath to internally use the C API (instead of the Fortran one). As a result, the build process is much simpler (it no longer requires CMake or a Fortran compiler). Additionally, it also directly supports CUDA-aware MPI libraries, allowing CuArrays to be passed directly as buffers (thanks to Seyoon Ko).

I would greatly appreciate if people are able to try it out, especially with different clusters and MPI implementations.

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