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Investigate splitting fileset into subgraphs #43

@alexander-held

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@alexander-held

Instead of mapping the process function over the full fileset, investigate an approach of dynamically splitting the fileset into N subgraphs that run independently. Receive the outputs and write them to disk via dask.distributed.as_completed (assuming the potential for enough outputs to not fit in memory) and call a post-processing merge step afterwards.

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