Vectorized Quicksort 'VQsort'

This is a pure Nim-version of VQsort (AVX2-version) based on the article 'Fast and Robust Vectorized In-Place Sorting of Primitive Types' from 2021 PDF by Blacher et al. It combines sorting-networks (4/8/16) with bitonic merge procedures, a tiny pseudo-random generator (xoroshiro128+) on registers and a twofold pivot-selection strategy. The authors claim to dethrone Intels de-facto best performing sort algorithm. I can confirm its performance is amazing. This implementation is for educational purposes. It can sort 32-bit Integers (and soon floats). So this marks the return of Quicksort to the top of the food-chain of sorting algorithms. Find the genuine C++ implementation of their project "Fast and Robust" at github-repo.

Note

According to this blog-post of June.2022 by Jan Wassenberg, it seems Googles Brain-group has developed a advanced version of VQSort. It's based on their Highway-library and can support Intel-/ARM-/RISC-V-SIMD including all mainline compilers. If you are after a production-ready algorithm you can find it at github/google/highway/contrib/sort. Their advanced version adapts to the SIMD-capabillities of the targeted platform - including AVX-512 - and does multithreading. Their paper says this gives another 1.5-2.8-X. Furthermore it can sort 8/16/32/64/128-Bit Integers and Floats. For a detailed description consult this preprint Vectorized and performance-portable Quicksort [ retrieved May.2022].