[jira] [Updated] (LUCENE-10391) Reuse data structures across HnswGraph invocations

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

     [ https://issues.apache.org/jira/browse/LUCENE-10391?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alessandro Benedetti updated LUCENE-10391:
------------------------------------------
    Labels: vector-based-search  (was: )

> Reuse data structures across HnswGraph invocations
> --------------------------------------------------
>
>                 Key: LUCENE-10391
>                 URL: https://issues.apache.org/jira/browse/LUCENE-10391
>             Project: Lucene - Core
>          Issue Type: Task
>            Reporter: Adrien Grand
>            Assignee: Julie Tibshirani
>            Priority: Minor
>              Labels: vector-based-search
>             Fix For: 9.1
>
>         Attachments: Screen Shot 2022-02-24 at 10.18.42 AM.png
>
>          Time Spent: 2h 20m
>  Remaining Estimate: 0h
>
> Creating HNSW graphs involves doing many repeated calls to HnswGraph#search. Profiles from nightly benchmarks suggest that allocating data-structures incurs both lots of heap allocations ([http://people.apache.org/~mikemccand/lucenebench/2022.01.23.18.03.17.html#profiler_1kb_indexing_vectors_4_heap)] and CPU usage ([http://people.apache.org/~mikemccand/lucenebench/2022.01.23.18.03.17.html#profiler_1kb_indexing_vectors_4_cpu).] It looks like reusing data structures across invocations would be a low-hanging fruit that could help save significant CPU?



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