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README.md

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#### Acknowledgements
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This was originally developed for
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[`GigaSOM.jl`](https://github.com/LCSB-BioCore/GigaSOM.jl); DistributedData.jl package
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contains the separated-out lightweight distributed-processing framework that
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was used in `GigaSOM.jl`.
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[`GigaSOM.jl`](https://github.com/LCSB-BioCore/GigaSOM.jl);
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`DistributedData.jl` package contains the separated-out lightweight
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distributed-processing framework that was used in `GigaSOM.jl`.
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`DistributedData.jl` was developed in
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Luxembourg Centre for Systems Biomedicine of the University of Luxembourg ([lcsb.uni.lu](https://lcsb.uni.lu/)).
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Luxembourg Centre for Systems Biomedicine of the University of Luxembourg ([uni.lu/lcsb](https://www.uni.lu/lcsb)).
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The development was supported by
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European Union ELIXIR Staff Exchange programme 2020 ([elixir-europe.org](https://elixir-europe.org/)), and
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European Union's Horizon 2020 Programme under PerMedCoE project ([permedcoe.eu](https://www.permedcoe.eu/)) agreement no. 951773.
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## Why?
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DistributedData.jl provides a very simple, imperative and straightforward way to move your
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data around a cluster of Julia processes created by the
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`DistributedData.jl` provides a very simple, imperative and straightforward way
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to move your data around a cluster of Julia processes created by the
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[`Distributed`](https://docs.julialang.org/en/v1/stdlib/Distributed/) package,
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and run computation on the distributed data pieces. The main aim of the package
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is to avoid anything complicated-- the first version used in
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```
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## Using DistributedData.jl in HPC environments
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## Using `DistributedData.jl` in HPC environments
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You can use
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[`ClusterManagers`](https://github.com/JuliaParallel/ClusterManagers.jl)

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