[HAL] Extract profile event ring utility Move the host-side lossy profile event ring mechanics shared by local profiling and AMDGPU queue/memory profiling into hal/utils/profile_event_ring. The helper owns only record positions, power-of-two wrapping, event id assignment, dropped-record accounting, snapshot spans, and commit-after-write bookkeeping; callers still own storage, synchronization, profile metadata, and sink sequencing. Convert local profile rings and AMDGPU host-side queue/memory event streams to the utility. AMDGPU dispatch and queue-device profiling rings intentionally stay explicit because they are exact device-visible timelines tied to packet publication, reservation cancellation, completion-signal harvest, counters, and trace slots. Hiding those behind the lossy host-ring helper would blur the important queue contract instead of simplifying it. The AMDGPU host-side event flush path now writes the same two-span snapshot style as local profiling instead of allocating and copying a temporary contiguous buffer. This keeps profiling-disabled paths unchanged while removing duplicate cold-path machinery.
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.