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https://issues.apache.org/jira/browse/LUCENE-10453?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17501779#comment-17501779
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ASF subversion and git services commented on LUCENE-10453:
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Commit 1818ae9de35501193e07dd15672f28f956671e97 in lucene's branch
refs/heads/branch_9x from Adrien Grand
[ https://gitbox.apache.org/repos/asf?p=lucene.git;h=1818ae9 ]
LUCENE-10453: Speed up euclidean distances. (#725)
> Speed up VectorUtil#squareDistance
> ----------------------------------
>
> Key: LUCENE-10453
> URL: https://issues.apache.org/jira/browse/LUCENE-10453
> Project: Lucene - Core
> Issue Type: Task
> Reporter: Adrien Grand
> Priority: Minor
> Time Spent: 10m
> Remaining Estimate: 0h
>
> {{VectorUtil#squareDistance}} is used in conjunction with
> {{VectorSimilarityFunction#EUCLIDEAN}}.
> It didn't get as much love as dot products (LUCENE-9837) yet there seems to
> be room for improvement. I wrote a quick JMH benchmark to run some
> comparisons: https://github.com/jpountz/vector-similarity-benchmarks.
> While it's not as fast as using the vector API (which makes squareDistance
> computations more than 2x faster), we can get a ~25% speedup by unrolling the
> loop in a similar way to what dot product does.
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