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reformat the dstore docs
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docs/src/tutorial.md

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@@ -361,17 +361,17 @@ main memory.
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The available functions are as follows:
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- [`dstore`](@ref) saves the dataset to a disk, such as in
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```julia
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julia> dstore(anotherDataset)
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```
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...which, in this case, creates files `newData-1.slice` to `newData-3.slice`
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that contain the respective parts of the dataset. The precise naming scheme
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can be specified using the `files` parameter.
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- [`dload`](@ref) loads the data back into memory
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`dstore(anotherDataset)`, which, in this case, creates files
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`newData-1.slice` to `newData-3.slice` that contain the respective parts of
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the dataset. The precise naming scheme can be specified using the `files`
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parameter.
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- [`dload`](@ref) loads the data back into memory (again using a `Dinfo`
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parameter with dataset description to get the dataset name and the list of
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relevant workers)
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- [`dunlink`](@ref) removes the corresponding files from the storage
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Apart from saving the data for later use, this provides a relatively easy way
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of exchanging data between nodes in a HPC environment. There, the disk storage
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to exchange the data among nodes in a HPC environment. There, the disk storage
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is usually a very fast "scratch space" that is shared among all participants of
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a computation, and can be used to "broadcast" or "shuffle" the data without any
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significant overhead.

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