RFR: 8309583: AArch64: Optimize firstTrue() when amount of elements < 8 [v3]
Andrew Haley
aph at openjdk.org
Wed Jun 21 16:53:02 UTC 2023
On Mon, 19 Jun 2023 02:06:27 GMT, Chang Peng <duke at openjdk.org> wrote:
>> This patch optimizes VectorMask.firstTrue() on Neon when there are 2 or 4 elements in vector registers.
>>
>> VectorMask.firstTrue() should return VLEGNTH when vector mask is all false [1]. Current implementation uses rbit and then clz [2] to count leading zeros, then uses csel [3] (conditional select) to get the smaller value between VLENGTH and the number of unset lanes to ensure correctness.
>>
>> This patch sets the 16th or 32nd bit as 1, when there are only 2 or 4 elements in boolean masks, before rbit and clz. With this trick, maximum value calculated in such case will be VLENGTH (2 or 4).
>>
>> Test:
>> All vector and vectorapi test passed.
>>
>> Performance:
>> The benchmark functions are in MaskQueryOperationsBenchmark.java [4]. This patch also modifies above benchmark to measure mask operations' performance more effectively.
>>
>> Following data is collected on a 128-bit Neon machine.
>>
>> Benchmark (inputs) Mode Before After Units
>> MaskQueryOperationsBenchmark.testFirstTrueInt 1 thrpt 5952.670 7298.491 ops/ms
>> MaskQueryOperationsBenchmark.testFirstTrueInt 2 thrpt 5951.513 7297.620 ops/ms
>> MaskQueryOperationsBenchmark.testFirstTrueInt 3 thrpt 5953.048 7298.072 ops/ms
>> MaskQueryOperationsBenchmark.testFirstTrueLong 1 thrpt 3496.990 4003.188 ops/ms
>> MaskQueryOperationsBenchmark.testFirstTrueLong 2 thrpt 3497.755 4002.577 ops/ms
>> MaskQueryOperationsBenchmark.testFirstTrueLong 3 thrpt 3500.085 4002.471 ops/ms
>>
>> [1]: https://docs.oracle.com/en/java/javase/20/docs/api/jdk.incubator.vector/jdk/incubator/vector/VectorMask.html#firstTrue()
>> [2]: https://github.com/openjdk/jdk/blob/master/src/hotspot/cpu/aarch64/aarch64_vector.ad#L5540
>> [3]: https://developer.arm.com/documentation/ddi0602/2021-12/Base-Instructions/CSEL--Conditional-Select-
>
> Chang Peng has updated the pull request incrementally with one additional commit since the last revision:
>
> Update MaskQueryOperationsBenchmark.java
If we care about memory ops, note that we can get a useful speedup with `match(Set dst (VectorMaskFirstTrue (LoadVector mem)))` but perhaps that's not worth doing.
Benchmark (inputs) Mode Cnt Score Error Units
MaskQueryOperationsBenchmark.testFirstTrueInt 1 avgt 3 49.591 ± 0.477 ns/op
I will say that in general if you have to work in the core integer processor on an in-memory vector , it might be worth loading straight into core registers rather than going via the SIMD regs. Maybe we should write a general-purpose function that bypasses the SIMD unit in all such cases.
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PR Comment: https://git.openjdk.org/jdk/pull/14373#issuecomment-1601216501
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