RFR: 8377597: [Leyden] Improve peak performance when AOT code is used [v3]
Aleksey Shipilev
shade at openjdk.org
Thu Feb 12 18:06:30 UTC 2026
On Thu, 12 Feb 2026 17:50:47 GMT, Vladimir Kozlov <kvn at openjdk.org> wrote:
>> Currently some AOT code could be used for long time after startup. It could case peak performance regression because AOT code is conservative and have several restrictions on optimizations it can do.
>>
>> Introduce AOT code entry counter to request JIT compilation and replace AOT code after some threshold is reached. Use invocation count of C2 code during training run as threshold for AOT code replacement during production run.
>>
>> The counts collected during training run are scaled based on hyperbolic saturation curve formula:
>>
>>
>> int scaled_limit = (AOTCodeInvokeBase + limit / (1.0 + limit / (100000.0 * AOTCodeInvokeScale)));
>>
>> where `AOTCodeInvokeBase` (default 100.) and `AOTCodeInvokeScale` (default 1.) are diagnostic flags.
>> This scaling limits threshold to 100K for higher counts.
>>
>> Here some results running JavacBanch JMH benchmark on linux-x64 (numactl -C 0-3 -m 0`)
>>
>>
>> java -jar javac.jar -f 1 -bm ss -wi 0 -i 100 JavacBench.helloWorld1k
>>
>>
>> <img width="781" height="466" alt="Screenshot 2026-02-10 at 1 25 30 PM" src="https://github.com/user-attachments/assets/58d973bf-9881-45d9-acb8-40b18ca02a06" />
>>
>>
>> <img width="486" height="178" alt="Screenshot 2026-02-10 at 1 22 24 PM" src="https://github.com/user-attachments/assets/19fff702-2302-4e43-a093-5c6981a069ba" />
>>
>> ...
>> <img width="479" height="153" alt="Screenshot 2026-02-10 at 1 24 09 PM" src="https://github.com/user-attachments/assets/72e9d81d-bce2-482c-aaea-a32a192a8899" />
>
> Vladimir Kozlov has updated the pull request incrementally with one additional commit since the last revision:
>
> An other MH removed
All right, based on performance results I am seeing so far, I do not mind this going into `premain`. But I reserve the right to complain about how it works and/or suggest more followups, including maybe significantly reworking its heuristics :)
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Marked as reviewed by shade (Committer).
PR Review: https://git.openjdk.org/leyden/pull/110#pullrequestreview-3792711741
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