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Hey @max-brambach,
since the fusion of the views is performed in a block wise manner, I suspect your memory problem occurs while transforming each view into the target space. So far the processing pipeline assumes that an individual target view fits into memory, but as you show this doesn't have to be the case!
I'm looking into how to perform the transformation step in a more memory efficient way and will come back to it here.
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Experimenting with a simplified workflow in the branch dask_flow
. Currently the problem is that too many interdependent input chunks are loaded simultaneously..
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