On Thu, 8 Jan 2026 00:24:11 GMT, Shawn M Emery <[email protected]> wrote:
>> This change allows use of the AVX512_VBMI instruction set to further >> optimize decompression/parsing of polynomial coefficients for ML-KEM. The >> speedup gained in the ML-KEM benchmarks for key generation is between 0.3 to >> 0.6%, encapsulation is 0.4 to 1.7%, and decapsulation is 0.3 to 1.9%. >> >> Thank you to @sviswa7 and @ferakocz for their help in working through the >> early stages of this code with me. > > Shawn M Emery has updated the pull request incrementally with one additional > commit since the last revision: > > 8360934: Add AVX-512 intrinsics for ML-KEM - enhancement on AVX512_VBMI > Change Swap to Dup named function/variable > Check for only VBMI support (not VBMI2) Looks good to me ------------- Marked as reviewed by vpaprotski (Committer). PR Review: https://git.openjdk.org/jdk/pull/28815#pullrequestreview-3640216667
