[runtime] Restore "any processor" fallback for unspecified Windows … (#24154)

…read affinity

PR #21089 removed the early-return guard from
iree_thread_request_affinity
but the Windows implementation did not get an equivalent fallback path
for
the "unspecified" case. With group_any=0 and id_assigned=0 the else
branch
built an affinity_mask of `1ull << 0 = 1` and SetThreadGroupAffinity
pinned
the thread to CPU 0; SetThreadIdealProcessorEx then biased the scheduler
  toward CPU 0 as well.

This is the state that threads coming from iree_thread_affinity_set_any
land in — most notably the task executor's poller thread
(executor.c:158).
On a model with heavy poller/worker wake coordination, the poller and
the
worker pinned to CPU 0 ended up contending for the same core, producing
a
~2.5x real_time regression on Windows (cpu_time was unchanged or
slightly
better, consistent with serialization rather than more work). Linux was
unaffected because iree_thread_make_cpu_set_from_affinity already falls
  back to "all CPUs" when neither group_any nor id_assigned is set.

  Mirror that behavior on Windows:
- SetThreadGroupAffinity: when id is not assigned, set Mask=UINTPTR_MAX
so the scheduler is free to place the thread on any processor in the
group.
- SetThreadIdealProcessorEx: skip entirely when id is not assigned
instead of passing Number=0.

  Tested on a 4 thread Windows benchmark: real_time returns from ~102 ms
  back to ~40 ms at this commit, matching the pre-#21089 baseline.

Signed-off-by: Andrew Woloszyn <andrew.woloszyn@gmail.com>
1 file changed
tree: 424b9cb4013368d14b7592dc2b6ff44251d79098
  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 Eenvironment, 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.

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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/.

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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.