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8354244: Use random data in MinMaxRed_Long data arrays #26451

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@galderz galderz commented Jul 24, 2025

Simplified the data used in the tests added in JDK-8307513. The data does not need to have a specific shape because this test focuses on verifying the IR when vectorization kicks in, and when it does, the data can just be random. Shaping the data to control branch taken/not-taken paths makes sense when CMov macro expansion kicks in instead of vectorization.

When switching to random data I noticed that the test was randomly failing. This was due to potential overflows that result from takin the min/max and then multiplying it by 11, so I've adjusted that section of the test as well.

I've run the test on both aarch64 and x64 platforms where this test would get vectorized. To verify that I made sure the test passed and verified that the jtr output to make sure the IR conditions were matched.


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  • JDK-8354244: Use random data in MinMaxRed_Long data arrays (Enhancement - P4)

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👋 Welcome back galder! A progress list of the required criteria for merging this PR into master will be added to the body of your pull request. There are additional pull request commands available for use with this pull request.

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@galderz This change now passes all automated pre-integration checks.

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After integration, the commit message for the final commit will be:

8354244: Use random data in MinMaxRed_Long data arrays

Reviewed-by: chagedorn, mhaessig

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@openjdk openjdk bot added the rfr Pull request is ready for review label Jul 24, 2025
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@openjdk openjdk bot added the hotspot-compiler hotspot-compiler-dev@openjdk.org label Jul 24, 2025
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Nice clean-up by using the Generators. Looks good to me! Let me submit some testing with the updated test only.

@openjdk openjdk bot added the ready Pull request is ready to be integrated label Jul 24, 2025
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Thank you for this nice simplification, @galderz! It looks good to me as well.

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