cupynumeric-parallel-data-load

Load a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply.

nvidia/skills1.8k installsCC-BY-4.0 OR Apache-2.0Synced Aug 27

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI

This skill's source license couldn't be confirmed as safe to mirror here, so it isn't inlined. View the full skill directly on its source repository.

View on GitHub

More Accessibility skills

← All Accessibility skills

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY