[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>
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.
Releases notes are published on GitHub releases.
| Package | Release status |
|---|---|
| GitHub release (stable) | |
| GitHub release (nightly) | |
iree-base-compiler | |
iree-base-runtime |
For more details on the release process, see https://iree.dev/developers/general/release-management/.
| Operating system | Build status |
|---|---|
| Linux | |
| macOS | |
| macOS |
For the full list of workflows see https://iree.dev/developers/general/github-actions/.
See our website for more information.
Community meeting recordings: IREE YouTube channel
| Date | Title | Recording | Slides |
|---|---|---|---|
| 2025-06-10 | Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM) | recording | slides |
| 2025-05-17 | Introduction to GPU architecture and IREE's GPU CodeGen Pipeline | recording | slides |
| 2025-02-12 | The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised) | recording | slides |
| 2024-10-01 | Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardware | recording | |
| 2021-06-09 | IREE Runtime Design Tech Talk | recording | slides |
| 2020-08-20 | IREE CodeGen (MLIR Open Design Meeting) | recording | slides |
| 2020-03-18 | Interactive HAL IR Walkthrough | recording | |
| 2020-01-31 | End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting) | recording | slides |
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.