[ https://issues.apache.org/jira/browse/LUCENE-9679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Sokolov resolved LUCENE-9679. ------------------------------------- Resolution: Won't Fix this was never a great idea, and now we have other patches achieving its stated aim > Try using Math.fma to speed up vector computations > -------------------------------------------------- > > Key: LUCENE-9679 > URL: https://issues.apache.org/jira/browse/LUCENE-9679 > Project: Lucene - Core > Issue Type: Improvement > Reporter: Michael Sokolov > Priority: Major > > On the mailing list, Anton Hägerstrand <an...@blunders.io> posted a link to a > blog post showing hotspots in our indexing: > https://blunders.io/posts/lucene-bench-2021-01-10 and identified vecto dot > product computations as one of them. Not surprising in itself, but he also > suggested we might want to try using {{Math.fma}} in the computation to see > if it can optimize the multiply-and-add operation that is at the heart of > both the dot product and l2-norm distance. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@lucene.apache.org For additional commands, e-mail: issues-h...@lucene.apache.org