| commit | db9d11e4c000f693e9a70f7d3100db0c5294db9e | [log] [tgz] |
|---|---|---|
| author | Krzysztof Drewniak <Krzysztof.Drewniak@amd.com> | Fri Feb 06 15:53:04 2026 -0800 |
| committer | GitHub <noreply@github.com> | Fri Feb 06 15:53:04 2026 -0800 |
| tree | 6651dbb86edc8617ef4fc1aa18b1360f63c11cd9 | |
| parent | 16a2395f4487b32a98746040b65d7ed5a025bc37 [diff] |
[GPU] Become more honest about barrier semantics (and drop stale code) (#23335) Recently, I added an upstream PR ( https://github.com/llvm/llvm-project/pull/177425 ) that adds the ability for gpu barriers to declare what address spaces they fence on in addition to allowing the __syncthreads() semantics. This PR uses this support pervasively in IREE's GPU code generation, either by explicitly specifying the address spaces fenced by barrier ops we create or by inhereting it from address spaces on memrefs (which we know will b in shared memory). We were **already** using such barriers on AMD GPU targets, where we had a rewrite pattern to unconditionally rewrite `gpu.barrie' to `amdgpu.lds_barrier`, which always only fences workgroup memory and doesn't synthronize global memory. This commit removes that rewrite, which allows us to be more explicit abuht the semantics we're using **and** will allow us to synchronize global memory accesses within a workgrop if we ever need to do so. This PR also adds explanatory notes explaining the memory semantics we're expecting where needed. While I'm here, this PR removes an unmanitained and stale copy of the gpu barrier elimination logic from the IREE transform ops and delegates to the upstream version instead.
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.