RFR: 8308869: C2: use profile data in subtype checks when profile has more than one class [v9]
Roland Westrelin
roland at openjdk.org
Mon Aug 21 08:47:32 UTC 2023
On Wed, 19 Jul 2023 13:36:27 GMT, Roland Westrelin <roland at openjdk.org> wrote:
>> In this simple micro benchmark:
>>
>> https://github.com/franz1981/java-puzzles/blob/main/src/main/java/red/hat/puzzles/polymorphism/RequireNonNullCheckcastScalability.java#L70
>>
>> Performance drops sharply with polluted profile:
>>
>>
>> Benchmark (typePollution) Mode Cnt Score Error Units
>> RequireNonNullCheckcastScalability.isDuplicated1 false thrpt 10 1453.372 ± 24.919 ops/us
>>
>>
>> to:
>>
>>
>> Benchmark (typePollution) Mode Cnt Score Error Units
>> RequireNonNullCheckcastScalability.isDuplicated1 true thrpt 10 28.579 ± 2.280 ops/us
>>
>>
>> The test has 2 type checks to 2 different interfaces so caching with
>> `secondary_super_cache` doesn't help.
>>
>> The micro-benchmark only uses 2 different concrete classes
>> (`DuplicatedContext` and `NonDuplicatedContext`) and they are recorded
>> in profile data at the type checks. But c2 only take advantage of
>> profile data at type checks if they report a single class.
>>
>> What I propose is that the full blown type check expanded in
>> `Phase::gen_subtype_check()` takes advantage of profile data. So in
>> the case of the micro benchmark, before checking the
>> `secondary_super_cache`, generated code checks whether the object
>> being type checked is a `DuplicatedContext` or a
>> `NonDuplicatedContext`.
>>
>> This works fairly well on this micro benchmark:
>>
>>
>> Benchmark (typePollution) Mode Cnt Score Error Units
>> RequireNonNullCheckcastScalability.isDuplicated1 true thrpt 10 871.224 ± 20.750 ops/us
>>
>>
>> It also scales much better if there are multiple threads running the
>> same test (`secondary_super_cache` doesn't scale well: see
>> JDK-8180450).
>>
>> Now if the micro-benchmark is changed according to the comment:
>>
>> https://github.com/franz1981/java-puzzles/blob/d2d60af3d0dfe7a2567807395138edcb1d1c24f5/src/main/java/red/hat/puzzles/polymorphism/RequireNonNullCheckcastScalability.java#L62
>>
>> so the type check hits in the `secondary_super_cache`, the current
>> code performs much better:
>>
>>
>> Benchmark (typePollution) Mode Cnt Score Error Units
>> RequireNonNullCheckcastScalability.isDuplicated1 true thrpt 10 871.224 ± 20.750 ops/us
>>
>>
>> but leveraging profiling as explained above performs even better:
>>
>>
>> Benchmark ...
>
> Roland Westrelin has updated the pull request with a new target base due to a merge or a rebase. The incremental webrev excludes the unrelated changes brought in by the merge/rebase. The pull request contains 16 additional commits since the last revision:
>
> - riscv support
> - improvements to test
> - Merge branch 'master' into JDK-8308869
> - never common SubTypeCheckNode nodes
> - keep both ways of doing profile
> - whitespace
> - reworked change
> - Merge branch 'master' into JDK-8308869
> - more test failures
> - Merge branch 'master' into JDK-8308869
> - ... and 6 more: https://git.openjdk.org/jdk/compare/207e1637...8d9a08d1
Anyone else for a review?
-------------
PR Comment: https://git.openjdk.org/jdk/pull/14375#issuecomment-1685908797
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