RFR: 8288047: Accelerate Poly1305 on x86_64 using AVX512 instructions [v9]
Jatin Bhateja
jbhateja at openjdk.org
Wed Nov 9 15:59:27 UTC 2022
On Tue, 8 Nov 2022 23:21:58 GMT, Volodymyr Paprotski <duke at openjdk.org> wrote:
>> Handcrafted x86_64 asm for Poly1305. Main optimization is to process 16 message blocks at a time. For more details, left a lot of comments in `macroAssembler_x86_poly.cpp`.
>>
>> - Added new KAT test for Poly1305 and a fuzz test to compare intrinsic and java.
>> - Would like to add an `InvalidKeyException` in `Poly1305.java` (see commented out block in that file), but that conflicts with the KAT. I do think we should detect (R==0 || S ==0) so would like advice please.
>> - Added a JMH perf test.
>> - JMH test had to use reflection (instead of existing `MacBench.java`), since Poly1305 is not 'properly' registered with the provider.
>>
>> Perf before:
>>
>> Benchmark (dataSize) (provider) Mode Cnt Score Error Units
>> Poly1305DigestBench.digest 64 thrpt 8 2961300.661 ± 110554.162 ops/s
>> Poly1305DigestBench.digest 256 thrpt 8 1791912.962 ± 86696.037 ops/s
>> Poly1305DigestBench.digest 1024 thrpt 8 637413.054 ± 14074.655 ops/s
>> Poly1305DigestBench.digest 16384 thrpt 8 48762.991 ± 390.921 ops/s
>> Poly1305DigestBench.digest 1048576 thrpt 8 769.872 ± 1.402 ops/s
>>
>> and after:
>>
>> Benchmark (dataSize) (provider) Mode Cnt Score Error Units
>> Poly1305DigestBench.digest 64 thrpt 8 2841243.668 ± 154528.057 ops/s
>> Poly1305DigestBench.digest 256 thrpt 8 1662003.873 ± 95253.445 ops/s
>> Poly1305DigestBench.digest 1024 thrpt 8 1770028.718 ± 100847.766 ops/s
>> Poly1305DigestBench.digest 16384 thrpt 8 765547.287 ± 25883.825 ops/s
>> Poly1305DigestBench.digest 1048576 thrpt 8 14508.458 ± 56.147 ops/s
>
> Volodymyr Paprotski has updated the pull request incrementally with one additional commit since the last revision:
>
> fix 32-bit build
src/hotspot/cpu/x86/vm_version_x86.cpp line 1181:
> 1179: #ifdef _LP64
> 1180: if (supports_avx512ifma() & supports_avx512vlbw()) {
> 1181: if (FLAG_IS_DEFAULT(UsePolyIntrinsics)) {
MaxVectorSize > 32 can be added along with feature checks your code mainly uses ZMMs
-------------
PR: https://git.openjdk.org/jdk/pull/10582
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