Google Git
Sign in
opensecura/3p/openxla/iree/c6753332aa7781e7813b87118173a04911366b76
commit
c6753332aa7781e7813b87118173a04911366b76
[log]
author
Benoit Jacob <jacob.benoit.1@gmail.com>
Fri Jun 05 12:20:37 2026 -0400
committer
GitHub <noreply@github.com>
Fri Jun 05 12:20:37 2026 -0400
tree
d82c9a0112a338c5a348ceb718a3218c6a800a8b
parent
d4ee61f436bcc95c1d113e2854ec9352def29dda [diff]
[Codegen][CPU] Add x86 AVX-512 VNNI 16x16x2 i8 MMA intrinsic. (#24534)

`MMA_X86_AVX512VNNI_16x16x2_I32_I8_CASTI16` processes a full 16x16x2 i8
matmul tile, mirroring the mmt4d ukernel's hot loop. Unlike the 1x16x2 /
16x1x2 CASTI16 variants -- one row per intrinsic, with a per-row i8->i16
widen + broadcast -- it consumes whole 16x2 i8 panels: one `vpmovsxbw`
widen per panel, 4 in-lane + 4 128-bit-block shuffles to fan the panels
across a 4x4 grid, then 16 `vpdpwssd`. The 16x16 accumulator uses a
block-interleaved `TileSwizzle` so each `vpdpwssd` accumulator is a
contiguous register.

i8 inner_tiled matmul, 4096x4096 on Zen 4: 72.5ms -> 52.9ms.

Progress towards #24515.

---------

Signed-off-by: Benoit Jacob <jacob.benoit.1@gmail.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
4 files changed
tree: d82c9a0112a338c5a348ceb718a3218c6a800a8b
  1. .github/
  2. build_tools/
  3. compiler/
  4. docs/
  5. experimental/
  6. integrations/
  7. lib/
  8. llvm-external-projects/
  9. runtime/
  10. samples/
  11. tests/
  12. third_party/
  13. tools/
  14. .bazel_to_cmake.cfg.py
  15. .bazelignore
  16. .bazelrc
  17. .bazelversion
  18. .clang-format
  19. .git-blame-ignore-revs
  20. .gitattributes
  21. .gitignore
  22. .gitmodules
  23. .pre-commit-config.yaml
  24. .yamllint.yml
  25. AUTHORS
  26. BUILD.bazel
  27. CITATION.cff
  28. CMakeLists.txt
  29. configure_bazel.py
  30. CONTRIBUTING.md
  31. LICENSE
  32. MAINTAINERS.md
  33. MODULE.bazel
  34. README.md
  35. RELEASING.md
README.md

IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.

See our website for project details, user guides, and instructions on building from source.

IREE Discord Status pre-commit OpenSSF Best Practices

Project news

Project status

Release status

Releases notes are published on GitHub releases.

PackageRelease status
GitHub release (stable)GitHub Release
GitHub release (nightly)GitHub Release
iree-base-compilerPyPI version
iree-base-runtimePyPI version

For more details on the release process, see https://iree.dev/developers/general/release-management/.

Build status

CI PkgCI

Nightly build status

Operating systemBuild status
LinuxCI - Linux arm64 clang
macOSCI - macOS x64 clang
macOSCI - macOS arm64 clang

For the full list of workflows see https://iree.dev/developers/general/github-actions/.

Communication channels

Related project channels

  • MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Architecture overview

IREE Architecture IREE Architecture

See our website for more information.

Presentations and talks

Community meeting recordings: IREE YouTube channel

DateTitleRecordingSlides
2025-06-10Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM)recordingslides
2025-05-17Introduction to GPU architecture and IREE's GPU CodeGen Pipelinerecordingslides
2025-02-12The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised)recordingslides
2024-10-01Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardwarerecording
2021-06-09IREE Runtime Design Tech Talkrecordingslides
2020-08-20IREE CodeGen (MLIR Open Design Meeting)recordingslides
2020-03-18Interactive HAL IR Walkthroughrecording
2020-01-31End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting)recordingslides

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.