Compiled multi-threaded radix sort backend (quill._fastsort) for quill-sort
Project description
quill-fastsort
Compiled multi-threaded radix-sort backend for quill-sort.
This package delivers a single compiled extension module, quill._fastsort
(a PyO3 binding over voracious_radix_sort), which quill-sort imports
opportunistically. With it installed, quill.sort_array() dispatches int64 /
float64 arrays to a multi-threaded radix sort measured at ~5× faster than
np.sort (int64) and ~3× faster (float64) on a 28-core machine.
pip install quill-sort quill-fastsort
import quill, numpy as np
quill.available_backends() # -> ['rust_voracious', ...]
quill.sort_array(np.random.randint(0, 2**31, 10_000_000, dtype=np.int64))
Installing it is purely a speed optimisation: quill-sort works correctly
without it, falling back through its backend chain (GPU / polars / numpy) to
np.sort. Prebuilt wheels are stable-ABI (abi3, one wheel per platform covers
CPython ≥ 3.8). MIT licensed.
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