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https://github.com/Xilinx/mlir-aie

An MLIR-based toolchain for AMD AI Engine-enabled devices.
https://github.com/Xilinx/mlir-aie

llvm mlir

Last synced: 4 days ago
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An MLIR-based toolchain for AMD AI Engine-enabled devices.

Host: GitHub
URL: https://github.com/Xilinx/mlir-aie
Owner: Xilinx
License: other
Created: 2021-08-27T17:36:02.000Z (almost 3 years ago)
Default Branch: main
Last Pushed: 2024-04-17T11:10:16.000Z (2 months ago)
Last Synced: 2024-04-17T11:14:02.170Z (2 months ago)
Topics: llvm, mlir
Language: MLIR
Homepage:
Size: 70 MB
Stars: 217
Watchers: 25
Forks: 68
Open Issues: 86
Metadata Files:
- Readme: README.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS

Lists

awesome-stars - Xilinx/mlir-aie - An MLIR-based toolchain for AMD AI Engine-enabled devices. (MLIR)
awesome-mlir - MLIR-based AIEngine toolchain

README

        # MLIR-based AI Engine toolchain

[![Build and Test](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTest.yml/badge.svg)](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTest.yml)

[![Build and Test across Python versions](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTestPythons.yml/badge.svg)](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTestPythons.yml)

[![Build and Test with AIE tools on Ryzen AI](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTestRyzenAI.yml/badge.svg)](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTestRyzenAI.yml)

[![Compile across platforms](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTestMulti.yml/badge.svg)](https://github.com/Xilinx/mlir-aie/actions/workflows/buildAndTestMulti.yml)

![GitHub Pull Requests](https://img.shields.io/github/issues-pr-raw/Xilinx/mlir-aie)

![](https://mlir.llvm.org//mlir-logo.png)

This repository contains an [MLIR-based](https://mlir.llvm.org/) toolchain for AI Engine-enabled devices, such as [AMD Ryzen™ AI](https://www.amd.com/en/products/processors/consumer/ryzen-ai.html) and [Versal™](https://www.xilinx.com/products/technology/ai-engine.html).  This repository can be used to generate low-level configurations for the AI Engine portion of these devices. AI Engines are organized as a spatial array of tiles, where each tile contains AI Engine cores and/or memories. The spatial array is connected by stream switches that can be configured to route data between AI Engine tiles scheduled by their programmable Data Movement Accelerators (DMAs). This repository contains MLIR representations, with multiple levels of abstraction, to target AI Engine devices. This enables compilers and developers to program AI Engine cores, as well as describe data movements and array connectivity. A Python API is made available as a convenient interface for generating MLIR design descriptions. Backend code generation is also included, targeting the [aie-rt](https://github.com/Xilinx/aie-rt/tree/main-aie) library.  This toolchain uses the AI Engine compiler tool which is part of the AMD Vitis™ software installation: these tools require a free license for use from the [Product Licensing Site](https://www.xilinx.com/member/forms/license-form.html).

This project is primarily intended to support the open-source community, particularly tool builders, with low-level access to AIE devices and enable the development of a wide variety of programming models from higher level abstractions. We provide an example programming flow: Interface Representation for hands-ON (IRON) close-to-metal programming of the AIE-array. IRON is an open access toolkit enabling performance engineers to build fast and efficient, often specialized designs through a set of Python language bindings around the mlir-aie dialect. As such, it contains some examples, however this project is not intended to represent an end-to-end compilation flow for all application designs. If you're looking for an out-of-the-box experience for highly efficient machine learning, check out the [AMD Ryzen™ AI Software Platform](https://github.com/amd/RyzenAI-SW/).

[Getting Started on a Versal™ board](docs/Building.md)

[Running on a Versal™ board](docs/Platform.md)

[Getting Started and Running on Windows Ryzen™ AI](docs/buildHostWin.md)

[Getting Started and Running on Linux Ryzen™ AI](docs/buildHostLin.md)

[IRON AIE Application Programming Guide](programming_guide)

[MLIR Dialect and Compiler Documentation](https://xilinx.github.io/mlir-aie/)

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