[Codegen][LLVMCPU] Split loadProcessorData: hoist only the alloca (#24786)

35b2070 (#24749) fixed unbounded stack growth by moving the whole
loadProcessorData CPU-feature patch buffer construction to the function
entry block. But that also hoisted the feature-bit or/store away from
the ukernel call, and once the ukernel inlines, LLVM can no longer
store-to-load forward the forced feature bits into the ukernel's runtime
feature check across the enclosing loop, so the mmt4d/pack tile-func
select never devirtualizes and the microkernel is left out-of-line.

Split the two concerns: reserve only the alloca (the stack slot, the
actual cause of #24744) in the entry block, but keep the feature-bit
patch at the call site. The stores re-run per iteration but allocate no
stack, so the stack stays bounded while the forced bits remain adjacent
to the (inlined) load and fold as before, restoring devirtualization.

Assisted-by: Claude-Code

---------

Signed-off-by: Ege Beysel <beyselege@gmail.com>
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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.

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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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LinuxCI - Linux arm64 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.