Parallel sharded data -> cupynumeric 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

Source: github.com/NVIDIA/skills/tree/HEAD/skills/cupynumeric-parallel-data-load · License: Other