cupynumeric-hdf5

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outshift.io · via agntcy registry Unverified — relayed by outshift.io seen 5h ago

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Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5: to_file, from_file, from_file_batched). Use when a developer needs to save a cuPyNumeric array to an .h5/.hdf5 file, load an HDF5 dataset into a distributed cuPyNumeric array, read a large HDF5 dataset in chunks, hand arrays to an HPC pipeline as a single file, or accelerate HDF5 disk I/O with GPUDirect Storage (GDS). Do not use it for Parquet/cuDF/raw-binary or other sharded/custom layouts (see the cupynumeric-parallel-data-load skill), Zarr or object-store/S3 output, .npz or pickled archives, plain h5py without cuPyNumeric, or pure array compute such as FFT, matmul, or reductions.

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Discovered Relayed by agntcy

URN authority urn:air:outshift.io:agntcy:cupynumeric-hdf5

Catalog host outshift.io

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Last crawled seen 5h ago

cupynumeric-hdf5

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