[vectorIntrinsics+compress] RFR: 8274975: Add micro benchmark: ALIBABA selective store use case

[Jatin Bhateja]

On Mon, 11 Oct 2021 02:42:01 GMT, Joshua Zhu <jzhu at openjdk.org> wrote:

>> test/micro/org/openjdk/bench/jdk/incubator/vector/bigdata/SelectiveStore.java line 109:
>> 
>>> 107:       IntVector bv = IntVector.fromArray(INT_128_SPECIES, tld.input2, i);
>>> 108:       IntVector cv = IntVector.fromArray(INT_128_SPECIES, tld.index, i);
>>> 109:       VectorMask<Integer> mask = av.compare(VectorOperators.NE, bv);
>> 
>> Can we move vector compare out of benchmarking loop to reduce the noise.
>
> Thanks Jatin for your review.
> This test I added is placed together with other benchmarks extracted from user cases.
> The mask computation inside the loop is the essential logic in real scenario.
> We can add micro benchmarks in test/micro/org/openjdk/bench/jdk/incubator/vector/operation and then evaluate performance for compression / expanding in single API level.

Ok got it, thanks! 
BTW can you also post the AVX2 numbers just to see how does it compare against scalar version when direct compress/expand instructions are not supported by target.

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PR: https://git.openjdk.java.net/panama-vector/pull/149