[jira] [Updated] (LUCENE-10453) Speed up VectorUtil#squareDistance

["Alessandro Benedetti (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/LUCENE-10453?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alessandro Benedetti updated LUCENE-10453:
------------------------------------------
    Labels: vector-based-search  (was: )

> 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
>              Labels: vector-based-search
>             Fix For: 9.1
>
>          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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