# Use MPI with iJulia

**URL:** <https://discourse.julialang.org/t/use-mpi-with-ijulia/96319>\
**Category:** Julia at Scale\
**Tags:** question\
**Created:** [March 19, 2023, 8:35pm UTC](https://discourse.julialang.org/t/use-mpi-with-ijulia/96319 "2023-03-19T20:35:55Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![smartalecH](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/smartalech/32/32379_2.png) [@smartalecH](https://discourse.julialang.org/u/smartalecH)\
**Post date:** [March 19, 2023, 8:35pm UTC](https://discourse.julialang.org/t/use-mpi-with-ijulia/96319/1 "2023-03-19T20:35:56Z")

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Is there an easy/recommended way to use iJulia with MPI?

I see this has (somewhat) been asked in the [past](https://discourse.julialang.org/t/mpi-jupyter-kernel-cluster-in-julia-similar-to-dask-mpi-ipyparallel/67240). But I’m wondering if anything has changed in the last few years (which is quite a bit of time for Julia…)

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**Author:** ![marius311](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/marius311/32/3953_2.png) [@marius311](https://discourse.julialang.org/u/marius311)\
**Post date:** [March 19, 2023, 8:43pm UTC](https://discourse.julialang.org/t/use-mpi-with-ijulia/96319/2 "2023-03-19T20:43:01Z")

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Fwiw I haven’t found anything better since that post for using MPI _transport_ in a notebook.

As far as using MPI to spawn workers, in a notebook I generally use `ElasticManager` from `ClusterManagers` and just `srun`/`mpiexec` the worker-connect-command with as many workers as I want, which has been very robust, as long as you can live with TCP transport.