How read extremely large HDF5 format data and resolve out of memory issue?

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I need to read several datasets from a 2TB HDF5 file which are needed for further computation.
If I simply coding as following,
varible1=h5read('path to .h5 file', 'path to dataset')
It would require ~500 GB array memory.
Is there any good way to solve this problem?
Thanks!
  1 个评论
Jonas
Jonas 2022-5-3
编辑:Jonas 2022-5-3
does this help? https://de.mathworks.com/matlabcentral/answers/423693-read-and-divide-hdf5-data-into-chunks
maybe you could also spit data using oython beforehand, i saw multiple those scripts when googling

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回答(1 个)

ROSEMARIE MURRAY
ROSEMARIE MURRAY 2022-5-3
You could use a fileDatastore with the read function h5read, which would allow you to specify a certain amount to read at a time.

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