[CPU] Stop scaling PackOp distribution tiles by inner pack sizes (#24107) Undo a 3-year old tiling tweak (#11873) that should not be necessary, though if it ever helped performance, that would indicate suboptimal codegen. The rationale, stated in a comment, is that as packing is an element-wise operation, the only reason to need multiple tiles is to distribute work to multiple threads. Memory locality should not be a concern; if it were a concern, that would be a codegen bug (suboptimal traversal within the tile). [Benchmark](https://docs.google.com/spreadsheets/d/1q0pY8uAI4ApGSUndJYAdSq7CKGRzTJgaWlEzMkvSL9A/edit?usp=sharing) (3 PRs together: #24107, #24108, #24109) showing no regression across many matmul shapes and slight improvement to scaling SDXL-clip to many threads. The point is not the tiny perf improvement per se, but ensuring that existing parameters have the intended semantics. Made-with: Cursor Signed-off-by: Benoit Jacob <jacob.benoit.1@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.