Hi All,
We propose enabling SIMD-based sort for list_sort using the x86-simd-sort library (https://github.com/intel/x86-simd-sort).
The existing list_sort takes a comparator function to compare pairs of ListCell. On the other hand, x86-simd-sort requires an array of numeric values to sort, and it returns an array of sorted indices. To enable x86-simd-sort, we add new list_sort_simd functions that take an extractor function. The function extracts a value (float or uint32) from a ListCell. Those values are then collected into an array for x86-simd-sort to work on. A comparator function can still be passed to be used as tie-breaker.
typedef float (*list_sort_extractor_float)(const ListCell *a);
typedef uint32 (*list_sort_extractor_uint32)(const ListCell *a);
void list_sort_simd_float(List *list, list_sort_extractor_float extract, list_sort_comparator cmp);
void list_sort_simd_uint32(List *list, list_sort_extractor_uint32 extract, list_sort_comparator cmp);
These functions will exist alongside the current list_sort. Existing list_sort use cases in Postgres or extensions will not be affected by default, and they can be converted to list_sort_simd functions where it makes sense in terms of performance.
This feature introduces the x86-simd-sort library as a dependency. We plan to make the dependency optional, using a configuration option, such as --with-x86-simd-sort. If building without this option, list_sort_simd functions could fall back to the existing list_sort (e.g., by creating a comparator function that combines the extracted value and the tie-breaker comparator function). Alternatively (or in addition), we could add a function to report whether x86-simd-sort is available.
We identified a first use case for list_sort_simd_float in pgvector. As part of HNSW index construction, pgvector uses list_sort to sort candidate vectors by distance. Using list_sort_simd_float, we observed reduction in index build time in some scenarios. For example, we observed 7% reduction in index build time with the gist-960 dataset and 10% with the dbpedia-openai-1000k dataset (ANN-Benchmarks, HNSW index with halfvec, m=80). We are also looking into microbenchmarks to measure list_sort performance independently.
We’d appreciate feedback on this approach. In the meantime, we will complete the patch to share. We also plan to extend SIMD-based sort to tuple sort in the future.
Thanks!
Luca Giacchino
