| commit | 516031078c9bc188111a27fc3faf43e13827a9e4 | [log] [tgz] |
|---|---|---|
| author | Zhuoran Yin <zhuoryin@amd.com> | Tue Dec 02 11:41:57 2025 -0500 |
| committer | GitHub <noreply@github.com> | Tue Dec 02 11:41:57 2025 -0500 |
| tree | c626055f1cafc86b7fc693189d76d0813a8bc3d5 | |
| parent | d3440737cc56a4d1b20c72181d9a37f194bd3ce5 [diff] |
[Codegen][GPU] Enable 3-stage pipelining with hipblaslt compute->write->read ordering (#22788) 3-stage uses different cluster ordering to maximize distance between read and use. Stage definitions remain the same. The changes are mostly trivial and the new pipelined code work out of box. On MI300, the tracked gemm configs improve performance by 4.5% on average for NN and NT layouts. Right now there's no easy way to experiment this through a compiler flag, and the only way to experiment this is to change the tablegen default number of stage to 3. I plan to expose it properly in the next PR. --------- Signed-off-by: jerryyin <zhuoryin@amd.com>
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.
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.