[LLVMGPU][ROCDL] Add pass to group global loads for better instruction scheduling (#24247) Adds LLVMGPUGroupGlobalLoadsPass which moves global loads in the same block to be adjacent to each other when they are separated by pure address computation ops. The pass moves each load along with its transitive dependency chain to be right after the preceding global load. This improves performance in situations where LLVM is not able to convert address computation into a single base + constant offset. In such cases, instruction scheduling can become pessimistic and each global load needs to be waited on before the next is issued. With this instruction reordering, all global loads are issued together after address computation is completed. Based on benchmarks with this change alone, we don't have any cases in our suite of kernels that runs into this issue today. However, some convolution shapes run into the issue after the changes in https://github.com/iree-org/iree/pull/24245, and this PR prevents such regressions. This is only enabled for ROCDL in this PR, because we don't have any data points to support adding it to other pipelines yet. --------- Signed-off-by: Max Dawkins <max.dawkins@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.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.