cupynumeric-hdf5

SKILLFlusso di lavorocommunity
v0.0.0NVIDIAApache-2.0Aggiornato 6 g faFonte →

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 H

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6 g faUltimo aggiornamento
Skill
AutoreNVIDIA
Versione0.0.0
LicenzaApache-2.0
CategoriaFlusso di lavoro
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Descrizione

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

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