Unclaimed project
Are you a maintainer of x86-simd-sort? Claim this project to take control of your public changelog and roadmap.
Changelog
C++ template library for high performance SIMD based sorting algorithms
qsort, argsort and keyvalue_qsort routines now support multi-threading with OpenMP. This speeds up sorting medium to large arrays by 3-4x on both AVX-512 and AVX2. OpenMP is not enabled by default and needs to configured with Meson while building. Please refer to the [README ](https://github.com/intel/x86-simd-sort?tab=readme-ov-file#build...
Release 6.0 introduces several key enhancements to our software. The update brings new APIs for partial sorting of key-value pairs, along with comprehensive AVX2 support across all routines. Additionally, PyTorch now leverages AVX-512 and AVX2 key-value sort routines to boost the performance of torch.sort and torch.argsort functions by up-to 10x (see https://github.com/pytorch/pytorch/pull/127...
Release 5.0 adds new API's to support sorting arrays of custom defined objects and sorting key-value pairs of arrays. We also now have AVX2 acceleration for argsort and argselect methods. Here is a gist of the new features:
object_qsort. Please refer to [README](https://github.com/intel/x86-simd-sort/blob/main/READ...v4.0 is a significant release with new features and improvements. AVX-512 sorting methods gain up to 2x perf improvements and we have added AVX2 sorting methods to support a wider range of x86 processors. In additional to using it as a header file library, x86-simd-sort can be installed as a library, and it provides API access to various sorting methods with automatic runtime dispatch to selec...
Version 3.0 release contains a new supported method avx512_argselect to compute arg nth_element (also known as argpartition in NumPy). It returns an array of indices that would partition the data array. Highlights of this release include: