commit | 0c5ef6a3f0c7f2f637e530106b37e871fab9453f | [log] [tgz] |
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author | Zhuoran Yin <zhuoryin@amd.com> | Thu Aug 28 10:49:28 2025 -0400 |
committer | GitHub <noreply@github.com> | Thu Aug 28 07:49:28 2025 -0700 |
tree | 72cb6f05bd55fd289028b661d7b36b6b0fd5e992 | |
parent | 5ab8a51c57d84e976a6f49da2613f21f79126954 [diff] |
[Codegen][GPU] Use arithmetic intensity to guide gemm size categorization - step 2 (#21691) This is a follow-up to https://github.com/iree-org/iree/pull/21638 and final step of heuristic implementation described in #21506. Since both peakMemoryBandwidth and peakPerf are available, the heuristic now use those to decide the compute/memory cutoff point, which further help to derive the cutoff of small and large gemms. This PR once merged will improve heuristic performance by 8% according to performance geo-mean of 478 convolutions. --------- 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 |
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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 |
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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 |
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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.