avx_qsort VS fTetWild

The original (AFAICT) work on SIMD quick sort, also mentioned in the google post also implemented pointer sort by loading a pointed key using gather instructions and the method can be used for an array of structs. https://github.com/vkrasnov/avx_qsort/blob/master/qsort_AVX2...

I'm the co-author of one of the papers referenced in the blogpost, (Fast Quicksort Implementation Using AVX Instructions), we did write the AVX512 code back in 2015, just had nowhere to run it, at least publicly. The paper also very explicitly says that the lookup tables can be instead replaced by the AVX512 compress instructions. The code for that paper is available in https://github.com/vkrasnov/avx_qsort

I recently tried to do that as well, but failed. Specifically, I have implemented AA sort [1] but for my use case the performance was about the same as std::sort in C++, for the substantial code complexity cost. I reverted to std::sort. The code is on github [2]

Still, in that particular project the vectors being sorted are relatively small, typically under than 100kb, so I have only implemented their “inner” algorithm which works on a single CPU core. The complete AA sort algorithm was apparently designed for large vectors, and uses both SIMD and multithreading. Might be still useful for very long vectors.

[1] https://ieeexplore.ieee.org/document/4336211

[2] https://github.com/Const-me/fTetWild/blob/master/MeshRepair/...