numpy/x86-simd-sort

Health v2 · maintenance only

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1026 stars · 73 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A C++ template library providing high-performance SIMD-accelerated sorting routines (qsort, qselect, partial sort, argsort, key-value sort) for built-in integer and float types and custom objects. It automatically selects AVX-512 or AVX-2 code paths based on the runtime processor and is used by NumPy.

Use cases

• sort large arrays of floats or integers faster than std::sort
• SIMD-accelerated quickselect to find kth smallest element
• partial sort of top-k elements in an array
• argsort / index-based sorting of arrays
• sort arrays of custom C++ objects by a key
• key-value sorting of parallel arrays
• speed up NumPy sort operations on x86 CPUs

When to choose

• you need maximum sorting throughput on x86-64 hardware with AVX2/AVX-512
• you are sorting numeric data (16/32/64-bit ints and floats) at scale
• you need quickselect or partial sorts, not just full sorts
• you want drop-in routines used by NumPy

When to avoid

• you need portable sorting across non-x86 architectures (ARM, POWER)
• you are sorting complex objects with expensive comparators rather than numeric keys
• your arrays are tiny where SIMD overhead dominates
• you need stable sorting

Facets

library · maturity active

benchmarking developer-tools performance developer-tools cpp windows simd avx2 avx512 sorting quicksort argsort quickselect x86 header-only numpy algorithms linux macos gpu

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