@@ -11,12 +11,12 @@ Simple distributed data manipulation and processing routines for Julia.
1111#### Acknowledgements
1212
1313This was originally developed for
14- [ ` GigaSOM.jl ` ] ( https://github.com/LCSB-BioCore/GigaSOM.jl ) ; DistributedData.jl package
15- contains the separated-out lightweight distributed-processing framework that
16- was used in ` GigaSOM.jl ` .
14+ [ ` GigaSOM.jl ` ] ( https://github.com/LCSB-BioCore/GigaSOM.jl ) ;
15+ ` DistributedData.jl ` package contains the separated-out lightweight
16+ distributed-processing framework that was used in ` GigaSOM.jl ` .
1717
1818` DistributedData.jl ` was developed in
19- Luxembourg Centre for Systems Biomedicine of the University of Luxembourg ([ lcsb. uni.lu] ( https://lcsb .uni.lu/ ) ).
19+ Luxembourg Centre for Systems Biomedicine of the University of Luxembourg ([ uni.lu/lcsb ] ( https://www .uni.lu/lcsb ) ).
2020The development was supported by
2121European Union ELIXIR Staff Exchange programme 2020 ([ elixir-europe.org] ( https://elixir-europe.org/ ) ), and
2222European Union's Horizon 2020 Programme under PerMedCoE project ([ permedcoe.eu] ( https://www.permedcoe.eu/ ) ) agreement no. 951773.
@@ -25,8 +25,8 @@ European Union's Horizon 2020 Programme under PerMedCoE project ([permedcoe.eu](
2525
2626## Why?
2727
28- DistributedData.jl provides a very simple, imperative and straightforward way to move your
29- data around a cluster of Julia processes created by the
28+ ` DistributedData.jl ` provides a very simple, imperative and straightforward way
29+ to move your data around a cluster of Julia processes created by the
3030[ ` Distributed ` ] ( https://docs.julialang.org/en/v1/stdlib/Distributed/ ) package,
3131and run computation on the distributed data pieces. The main aim of the package
3232is to avoid anything complicated-- the first version used in
@@ -144,7 +144,7 @@ julia> gather_array(dataset) # download the data from workers to a sing
144144 ⋮
145145```
146146
147- ## Using DistributedData.jl in HPC environments
147+ ## Using ` DistributedData.jl ` in HPC environments
148148
149149You can use
150150[ ` ClusterManagers ` ] ( https://github.com/JuliaParallel/ClusterManagers.jl )
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