On Fri, 25 Jul 2025 20:09:40 GMT, Jatin Bhateja <jbhat...@openjdk.org> wrote:

>> Patch optimizes Vector. slice operation with constant index using x86 ALIGNR 
>> instruction.
>> It also adds a new hybrid call generator to facilitate lazy intrinsification 
>> or else perform procedural inlining to prevent call overhead and boxing 
>> penalties in case the fallback implementation expects to operate over 
>> vectors. The existing vector API-based slice implementation is now the 
>> fallback code that gets inlined in case intrinsification fails.
>> 
>>  Idea here is to add infrastructure support to enable intrinsification of 
>> fast path for selected vector APIs, else enable inlining of fall-back 
>> implementation if it's based on vector APIs. Existing call generators like 
>> PredictedCallGenerator, used to handle bi-morphic inlining, already make use 
>> of multiple call generators to handle hit/miss scenarios for a particular 
>> receiver type. The newly added hybrid call generator is lazy and called 
>> during incremental inlining optimization. It also relieves the inline 
>> expander to handle slow paths, which can easily be implemented library side 
>> (Java).
>> 
>> Vector API jtreg tests pass at AVX level 2, remaining validation in progress.
>> 
>> Performance numbers:
>> 
>> 
>> System : 13th Gen Intel(R) Core(TM) i3-1315U
>> 
>> Baseline:
>> Benchmark                                                (size)   Mode  Cnt  
>>     Score   Error   Units
>> VectorSliceBenchmark.byteVectorSliceWithConstantIndex1     1024  thrpt    2  
>>  9444.444          ops/ms
>> VectorSliceBenchmark.byteVectorSliceWithConstantIndex2     1024  thrpt    2  
>> 10009.319          ops/ms
>> VectorSliceBenchmark.byteVectorSliceWithVariableIndex      1024  thrpt    2  
>>  9081.926          ops/ms
>> VectorSliceBenchmark.intVectorSliceWithConstantIndex1      1024  thrpt    2  
>>  6085.825          ops/ms
>> VectorSliceBenchmark.intVectorSliceWithConstantIndex2      1024  thrpt    2  
>>  6505.378          ops/ms
>> VectorSliceBenchmark.intVectorSliceWithVariableIndex       1024  thrpt    2  
>>  6204.489          ops/ms
>> VectorSliceBenchmark.longVectorSliceWithConstantIndex1     1024  thrpt    2  
>>  1651.334          ops/ms
>> VectorSliceBenchmark.longVectorSliceWithConstantIndex2     1024  thrpt    2  
>>  1642.784          ops/ms
>> VectorSliceBenchmark.longVectorSliceWithVariableIndex      1024  thrpt    2  
>>  1474.808          ops/ms
>> VectorSliceBenchmark.shortVectorSliceWithConstantIndex1    1024  thrpt    2  
>> 10399.394          ops/ms
>> VectorSliceBenchmark.shortVectorSliceWithConstantIndex2    1024  thrpt    2  
>> 10502.894          ops/ms
>> VectorSliceB...
>
> Jatin Bhateja has updated the pull request incrementally with one additional 
> commit since the last revision:
> 
>   Updating predicate checks

test/micro/org/openjdk/bench/jdk/incubator/vector/VectorSliceBenchmark.java 
line 36:

> 34: @State(Scope.Thread)
> 35: @Fork(jvmArgs = {"--add-modules=jdk.incubator.vector"})
> 36: public class VectorSliceBenchmark {

I remember that it has the micro benchmarks for slice/unslice under 
`test/micro/org/openjdk/bench/jdk/incubator/vector/operation` on panama-vector. 
Can we reuse those JMHs to check the benchmark improvement?

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

PR Review Comment: https://git.openjdk.org/jdk/pull/24104#discussion_r2265592754

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