RFR: 8372701: Randomized profile counters [v4]
Tobias Hartmann
thartmann at openjdk.org
Mon Dec 8 08:41:06 UTC 2025
On Sat, 6 Dec 2025 10:28:02 GMT, Andrew Haley <aph at openjdk.org> wrote:
>> Please use [this link](https://github.com/openjdk/jdk/pull/28541/files?w=1) to view the files changed.
>>
>> Profile counters scale very badly.
>>
>> The overhead for profiled code isn't too bad with one thread, but as the thread count increases, things go wrong very quickly.
>>
>> For example, here's a benchmark from the OpenJDK test suite, run at TieredLevel 3 with one thread, then three threads:
>>
>>
>> Benchmark (randomized) Mode Cnt Score Error Units
>> InterfaceCalls.test2ndInt5Types false avgt 4 27.468 ± 2.631 ns/op
>> InterfaceCalls.test2ndInt5Types false avgt 4 240.010 ± 6.329 ns/op
>>
>>
>> This slowdown is caused by high memory contention on the profile counters. Not only is this slow, but it can also lose profile counts.
>>
>> This patch is for C1 only. It'd be easy to randomize C1 counters as well in another PR, if anyone thinks it's worth doing.
>>
>> One other thing to note is that randomized profile counters degrade very badly with small decimation ratios. For example, using a ratio of 2 with `-XX:ProfileCaptureRatio=2` with a single thread results in
>>
>>
>> Benchmark (randomized) Mode Cnt Score Error Units
>> InterfaceCalls.test2ndInt5Types false avgt 4 80.147 ± 9.991 ns/op
>>
>>
>> The problem is that the branch prediction rate drops away very badly, leading to many mispredictions. It only really makes sense to use higher decimation ratios, e.g. 64.
>
> Andrew Haley has updated the pull request incrementally with one additional commit since the last revision:
>
> Fix x86 lambda
That was on Linux AArch64. Let me re-run.
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PR Comment: https://git.openjdk.org/jdk/pull/28541#issuecomment-3625675954
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