Update the bundled repository

[mzy2240]

Mainly due to numpy/x86-simd-sort#33

[mosullivan93]

This is on my to-do list. I'll let you know when I get a chance to work on it

[mzy2240]

Thanks! Have you seen this: https://julialang.org/blog/2023/04/julia-1.9-highlights/#sorting_performance? Might be interesting to compare

[mosullivan93]

I have heard that v1.9 is much faster for sorting but I haven't tested my code with it yet. I'll do some quick comparisons when I have this package updated again 👍

[mosullivan93]

All done. Made a couple changes:

• If you want to override the built in sort methods (e.g. always prefer AVX512 when it's supported, which is only forward order) you need to put the AVX512Sort.@override_builtin_sort macro in the script (e.g. after you load the module).
• Otherwise, there's also now the subtype AVX512QuickSort <: Base.Sort.Algorithm so you can use it in sort by passing (an instance of it) as the alg keyword argument (this can't be done for partialsort! though, you'll need to use pqsort! or the override).
• Added some basic search paths for the compiled library so it can be relocated a little more easily.

I had a quick play around with v1.9, it's much faster for sorting overall. I haven't really rigorously defined a benchmark, but for my workloads (and depending on the datatype) it can still be 2-6x faster. For most of the relevant scenarios though, it's only between 1-2x faster.

[mzy2240]

4.0 is released and it can be used as shared lib now so I am wondering if it is much easier now to create JLL for it.

[mosullivan93]

That is an interesting question, and something I'd like to explore, but unfortunately I no longer have access to a machine supporting AVX512 so it might be some time before I get a chance to revisit this. If you're actively using this code in your research and it's important to have the most up to date version supported, please let me know and we can discuss this further directly.