# About the Julia at Scale category

**URL:** <https://discourse.julialang.org/t/about-the-julia-at-scale-category/5038>\
**Category:** Julia at Scale\
**Created:** [July 24, 2017, 8:55am UTC](https://discourse.julialang.org/t/about-the-julia-at-scale-category/5038 "2017-07-24T08:55:16Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![vchuravy](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/vchuravy/32/8_2.png) [@vchuravy](https://discourse.julialang.org/u/vchuravy)\
**Post date:** [July 24, 2017, 8:55am UTC](https://discourse.julialang.org/t/about-the-julia-at-scale-category/5038/1 "2017-07-24T08:55:16Z")

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`Julia at Scale` is all about running Julia on large parallel distributed computing systems, may it be the cloud or supercomputers. We welcome questions and discussions about how to get started, best practices and challenges with running Julia at scale.

A sample of packages that are relevant for this category:

- Distributed.jl
- MPI.jl
- Dagger.jl
- DistributedArrays.jl
- MPIArrays.jl
- …