pzygielo commented on PR #12611:
URL: https://github.com/apache/lucene/pull/12611#issuecomment-1751670565
May I ask for review, please?
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pzygielo commented on PR #12611:
URL: https://github.com/apache/lucene/pull/12611#issuecomment-1751671154
@kaivalnp @gf2121
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mikemccand commented on issue #12615:
URL: https://github.com/apache/lucene/issues/12615#issuecomment-1751739864
SPANN is another option?
https://www.researchgate.net/publication/356282356_SPANN_Highly-efficient_Billion-scale_Approximate_Nearest_Neighbor_Search
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mikemccand commented on issue #12615:
URL: https://github.com/apache/lucene/issues/12615#issuecomment-1751740152
(listening to @jbellis talk at Community over Code).
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mikemccand commented on issue #12615:
URL: https://github.com/apache/lucene/issues/12615#issuecomment-1751743673
Or perhaps we "just" make a Lucene Codec component (KnnVectorsFormat) that
wraps jvector? (https://github.com/jbellis/jvector)
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gf2121 opened a new pull request, #12631:
URL: https://github.com/apache/lucene/pull/12631
closes https://github.com/apache/lucene/issues/12620
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gf2121 commented on PR #12631:
URL: https://github.com/apache/lucene/pull/12631#issuecomment-1751891562
With this change, The total size of `tip` reduced ~14% for `wikimediumall`.
https://bytedance.feishu.cn/sheets/HSetsPqDrhicnet5lWrcOXMtnRc";
data-importRangeRawData-range="'Sheet1'!
rmuir opened a new pull request, #12632:
URL: https://github.com/apache/lucene/pull/12632
We can get these functions closer to optimal by just directly converting to
32-bits + `vpmulld`.
See https://stackoverflow.com/a/69848057 for the motivation.
You can reproduce my results
rmuir commented on issue #12621:
URL: https://github.com/apache/lucene/issues/12621#issuecomment-1751903073
@benwtrent I looked into this more and eeked a bit more out:
https://github.com/apache/lucene/pull/12632
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rmuir commented on PR #12632:
URL: https://github.com/apache/lucene/pull/12632#issuecomment-1751926396
I did manage to get a little bit more out of the arm chip. I will look at
the other 2 functions there too...
```
Benchmark (size) Mode Cnt Score
gf2121 commented on PR #12632:
URL: https://github.com/apache/lucene/pull/12632#issuecomment-1751934272
FYI I run the benchmark on [latest benchmark
commit](https://github.com/rmuir/vectorbench/commit/ef7e089a75a883d809145d2686e6a4dc1915c106)
with a linux-x86-64 sever that AVX-512 supported
rmuir commented on PR #12632:
URL: https://github.com/apache/lucene/pull/12632#issuecomment-1751934622
thanks for running. I will just revert it then and get folks to test arm
changes. i don't want to hurt avx 512...
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rmuir commented on PR #12632:
URL: https://github.com/apache/lucene/pull/12632#issuecomment-1751938382
ok i reverted the 256-bit changes from here, and from the vectorbench, but
kept the 128 bit ones for ppl to test on macs. Now this issue does the opposite
of what it says, i will edit it..
rmuir commented on PR #12632:
URL: https://github.com/apache/lucene/pull/12632#issuecomment-1751939374
I don't know how to do the same tricks for the BinarySquare one due to the
subtraction.
So I'm done for now. I think given the reports from @gf2121 the 256/512-bit
experiment was a
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