On Fri, 24 Apr 2026 16:28:50 GMT, Jatin Bhateja <[email protected]> wrote:
> Patch optimizes Float16 to integral conversion operations. Currently, its a > two step process where by first a Float16 value is > converted to a single precision floating point value followed by a conversion > to an integral value. > > x86 targets supporting AVX512-FP16 feature (Intel Sapphire Rapids+ and > upcoming AMD Zen6) provides direct instruction to convert a Float16 value to > integral value. > > Following are the performance numbers of micro benchmark included with the > patch on Granite Rapids with and without auto-vectorization. > > <img width="1125" height="636" alt="image" > src="https://github.com/user-attachments/assets/ca6e6757-1579-475f-8307-9454c7c025c1"; > /> > > Kindly review and share your feedback. > > Best Regards, > Jatin > > --------- > - [x] I confirm that I make this contribution in accordance with the [OpenJDK > Interim AI Policy](https://openjdk.org/legal/ai). This pull request has now been integrated. Changeset: 198f1aa2 Author: Jatin Bhateja <[email protected]> URL: https://git.openjdk.org/jdk/commit/198f1aa2575c2a276c20fce58b78eaa138505687 Stats: 755 lines in 12 files changed: 672 ins; 38 del; 45 mod 8382523: Optimize Float16 to integral conversion operations for AVX512-FP16 targets Reviewed-by: sviswanathan, missa ------------- PR: https://git.openjdk.org/jdk/pull/30928
