[DT][CPU]: RVV scalable encoding materialization (#24600) This PR introduces scalable data-tiled layout selection and materialization for RVV. Though since there exist microkernels for the RV64 backend with the V extension, previous mechanism to select these data-tiled layouts _statically_ based on the `+zvl*b` flags is also preserved and the scalable data-tiled layout materialization is hidden behind the flag scalable vectorization flag. The exactl layout selection (the tile sizes) though is based on the same principles as the static one - fully utilize all 32 of the V registers. F16 tile sizes that underutilize the V registers in the static case (see [this discord thread](https://discord.com/channels/689900678990135345/1456679894812590326/1461764521403224209))). **NOTE**: the `+zvl*b` flags DO NOT give us the _exact_ values of VLEN that the hardware implements but rather the minimum one, meaning that the previous static mechanism can underutilize the vector registers and is not vector-length agnostic. --------- Signed-off-by: Ege Beysel <beyselege@gmail.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.