[ 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. -- This message was sent by Atlassian Jira (v8.20.7#820007) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org