On Thu, 28 May 2026 09:48:08 GMT, Jatin Bhateja <[email protected]> wrote:
>> Add a new Float16lVector type and corresponding concrete vector classes, in >> addition to existing primitive vector types, maintaining operation parity >> with the FloatVector type. >> - Add necessary inline expander support. >> - Enable intrinsification for a few vector operations, namely >> ADD/SUB/MUL/DIV/MAX/MIN/SQRT/FMA. >> - Use existing Float16 vector IR and backend support. >> - Extended the existing VectorAPI JTREG test suite for the newly added >> Float16Vector operations. >> >> The idea here is to first be at par with Float16 auto-vectorization support >> before intrinsifying new operations (conversions, reduction, etc). >> >> The following are the performance numbers for some of the selected >> Float16Vector benchmarking kernels compared to equivalent auto-vectorized >> Float16OperationsBenchmark kernels. >> >> <img width="1344" height="532" alt="image" >> src="https://github.com/user-attachments/assets/c8157c3c-22b0-4bc1-9de9-7a68cadb7b2a"; >> /> >> >> Initial RFP[1] was floated on the panama-dev mailing list. >> >> Kindly review the draft PR and share your feedback. >> >> Best Regards, >> Jatin >> >> [1] https://mail.openjdk.org/pipermail/panama-dev/2025-August/021100.html >> >> --------- >> - [x] I confirm that I make this contribution in accordance with the >> [OpenJDK Interim AI Policy](https://openjdk.org/legal/ai). > > Jatin Bhateja has updated the pull request incrementally with one additional > commit since the last revision: > > Review comments resolutions src/hotspot/cpu/aarch64/aarch64_vector_ad.m4 line 359: > 357: // The Vector API does not yet emit predicated Float16 IR. When > such masked IR can be > 358: // generated, these masked operations will be enabled and the > relevant backend support > 359: // added. Could we have some kind of assert for this, so we don't miss it later on? ------------- PR Review Comment: https://git.openjdk.org/jdk/pull/28002#discussion_r3317157595
