A Novel Hybrid Quicksort Algorithm Vectorized using AVX-512 on Intel Skylake · HackerPapers discussions

A Novel Hybrid Quicksort Algorithm Vectorized using AVX-512 on Intel Skylake — mentioned by orlp

Sat, 04 Jun 2022 17:21:40 GMT

SIMD based sorting isn't new, e.g. djbsort: https://sorting.cr.yp.to/. I find it strange the paper doesn't cite it or compare to it at all. EDIT: to be fair it does seem that Bramas' first published work on SIMD sorting (that I could find) predates djbsort, https://arxiv.org/abs/1704.08579. A comparison would still be nice though.

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A Novel Hybrid Quicksort Algorithm Vectorized using AVX-512 on Intel Skylake — mentioned by ncmncm

Sat, 30 May 2020 22:54:42 GMT

If you define inline bool swap_if( bool c, int& a, int& b) { int ta = a, tb = b; a = c ? tb : ta; b = c ? ta : tb; return c; } and then use it in partition's inner loop like right += swap_if( *left < pivot, *left, *right); ..., compiled with Clang (which generates `cmov` instructions), a simplest-possible quicksort is more than twice as fast as `std::sort`. Then you can doctor up the endgame with heapsort, insertion sort, even bubble sort if you like, and get an incremental improvement. But using AVX machinery to implement an optimal sorting network for small arrays is faster, if you are…

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A Novel Hybrid Quicksort Algorithm Vectorized using AVX-512 on Intel Skylake — mentioned by ncmncm

Sun, 24 May 2020 05:33:48 GMT

AVX512 intrinsics are more powerful and better-suited for optimal sorting. https://arxiv.org/abs/1704.08579 Of course this presumes you have AVX512 hardware. (AMD gets it in Zen 3.) In the meantime, AVX2 will have to do.

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A Novel Hybrid Quicksort Algorithm Vectorized using AVX-512 on Intel Skylake — mentioned by zbjornson

Mon, 18 May 2020 05:44:11 GMT

For one: https://arxiv.org/abs/1704.08579

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