ChrisHegarty opened a new pull request, #14980:
URL: https://github.com/apache/lucene/pull/14980
This commit adds support for bulk scoring vectors, via a
`RandomVectorScorer::scoreBulk` method.
The POC currently scores 4 vectors against the query vector at a time, just
as an experiment to see how much can be gained with a minimal change.
Initial results from the micro benchmarks shows good potential improvement.
The benchmark creates a flat vector index with 128,000 float32 vectors with
1024 dimensions (~500MB). And times how long it takes to scores 20,000 random
vectors against a query vector (lower times are better)
```
Benchmark (size) Mode Cnt
Score Error Units
VectorScorerFloat32Benchmark.dotProductDefault 1024 avgt 15
8.505 ± 0.256 ms/op
VectorScorerFloat32Benchmark.dotProductNewBulkScore 1024 avgt 15
3.717 ± 0.158 ms/op
VectorScorerFloat32Benchmark.dotProductNewScorer 1024 avgt 15
7.287 ± 0.181 ms/op
```
Notes:
* the implementation is quite crude for now, just trying to find the "sweet
spot".
* The bulk scorer just does 4 vectors at time, since the implementation in
Lucene is more straightforward, but this could be adjusted.
* Initial Luceneutil benchmarks show some positive results, but not as much
as you would expect. I don't yet know why! ?
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