RFR: 8322770: Implement C2 VectorizedHashCode on AArch64

[Andrew Haley]

On Fri, 10 May 2024 12:38:46 GMT, Andrew Haley <aph at openjdk.org> wrote:

>> Hello,
>> 
>> Please review the following PR for [JDK-8322770 Implement C2 VectorizedHashCode on AArch64](https://bugs.openjdk.org/browse/JDK-8322770). It follows previous work done in https://github.com/openjdk/jdk/pull/16629 and https://github.com/openjdk/jdk/pull/10847 for RISC-V and x86 respectively. 
>> 
>> The code to calculate a hash code consists of two parts: a vectorized loop of Neon instruction that process 4 or 8 elements per iteration depending on the data type and a fully unrolled scalar "loop" that processes up to 7 tail elements.
>> 
>> At the time of writing this I don't see potential benefits from providing SVE/SVE2 implementation, but it could be added as a follow-up or independently later if required.
>> 
>> # Performance
>> 
>> ## Neoverse N1
>> 
>> 
>>   --------------------------------------------------------------------------------------------
>>   Version                                            Baseline           This patch
>>   --------------------------------------------------------------------------------------------
>>   Benchmark                   (size)  Mode  Cnt      Score    Error     Score     Error  Units
>>   --------------------------------------------------------------------------------------------
>>   ArraysHashCode.bytes             1  avgt   15      1.249 ?  0.060     1.247 ?   0.062  ns/op
>>   ArraysHashCode.bytes            10  avgt   15      8.754 ?  0.028     4.387 ?   0.015  ns/op
>>   ArraysHashCode.bytes           100  avgt   15     98.596 ?  0.051    26.655 ?   0.097  ns/op
>>   ArraysHashCode.bytes         10000  avgt   15  10150.578 ?  1.352  2649.962 ? 216.744  ns/op
>>   ArraysHashCode.chars             1  avgt   15      1.286 ?  0.062     1.246 ?   0.054  ns/op
>>   ArraysHashCode.chars            10  avgt   15      8.731 ?  0.002     5.344 ?   0.003  ns/op
>>   ArraysHashCode.chars           100  avgt   15     98.632 ?  0.048    23.023 ?   0.142  ns/op
>>   ArraysHashCode.chars         10000  avgt   15  10150.658 ?  3.374  2410.504 ?   8.872  ns/op
>>   ArraysHashCode.ints              1  avgt   15      1.189 ?  0.005     1.187 ?   0.001  ns/op
>>   ArraysHashCode.ints             10  avgt   15      8.730 ?  0.002     5.676 ?   0.001  ns/op
>>   ArraysHashCode.ints            100  avgt   15     98.559 ?  0.016    24.378 ?   0.006  ns/op
>>   ArraysHashCode.ints          10000  avgt   15  10148.752 ?  1.336  2419.015 ?   0.492  ns/op
>>   ArraysHashCode.multibytes        1  avgt   15      1.037 ?  0.001     1.037 ?   0.001  ...
>
> Hi,
> 
>>  I can update the patch with current results on Monday and we could decide how to proceed with this PR after that. Sounds good?
> 
> Yes, that's right.

> Hi @theRealAph ! You may find the latest version here: [mikabl-arm at b3db421](https://github.com/mikabl-arm/jdk/commit/b3db421c795f683db1a001853990026bafc2ed4b) . I gave a short explanation in the commit message, feel free to ask for more details if required.
> 
> Unfortunately, it still contains critical bugs and I won't be able to take a look into the issue before the next week at best. Until it's fixed, it's not possible to run the benchmarks. Although I expect it to improve performance on longer integer arrays based on a benchmark I've written in C++ and Assembly. The results aren't comparable to the jmh results, so I won't post them here.

OK. One small thing, I think it's possible to rearrange things a bit to use `mlav`, which may help performance. No need for that until the code is correct, though.

-------------

PR Comment: https://git.openjdk.org/jdk/pull/18487#issuecomment-2115145669