AIE-ML

AMD Vitis™ AI Engine Tutorials See Vitis™ Development Environment on amd.com See Vitis™ AI Development Environment on amd.com

AI Engine for Machine Learning (AIE-ML) Development

Introduction

The tutorials under the AI Engine for Machine Learning (AIE-ML) Development help you learn how to target, develop, and deploy advanced algorithms using an AMD Versal™ AIE-ML array with PL IP/kernels and software applications running on embedded processors.

• The AIE-ML Development Feature Tutorials highlight specific features and flows that help develop AI Engine-ML applications.

• The AIE-ML Development Design Tutorials showcase the two major phases of AI Engine-ML application development: architecting the application and developing the kernels. These tutorials demonstrate both phases.

IMPORTANT: Before beginning the tutorial, install the AMD Vitis™ unified software platform 2025.2. This Vitis release includes all the embedded base platforms including the VCK190 base platform that this tutorial uses. Also, download the Common Images for Embedded Vitis Platforms from this link.

The common image package contains a prebuilt Linux kernel and root file system that you can use with Versal boards for embedded design development using the Vitis software platform.

Before starting a tutorial, run the following steps:

1. Go to the directory where you have unzipped the Versal Common Image package.
2. In a Bash shell, run the /Common Images Dir/xilinx-versal-common-v2025.2/environment-setup-cortexa72-cortexa53-amd-linux script. This script sets up the SDKTARGETSYSROOT and CXX variables. If the script is not present, you must run /Common Images Dir/xilinx-versal-common-v2025.2/sdk.sh.
3. Set up your ROOTFS and IMAGE to point to the rootfs.ext4 and Image files located in the /Common Images Dir/xilinx-versal-common-v2025.2 directory.
4. Set up your PLATFORM_REPO_PATHS environment variable to $XILINX_VITIS/base_platforms.

Feature Tutorials

These tutorials target the VEK280 board. The following table lists the tutorials available, and the features and flows showcased in these tutorials. The various columns correspond to specific features/flows supported in these tutorials and help you identify tutorials that showcase specific flows and features that you are interested in.

Tutorial	Platform	OS	IDE Flow	Libraries Used	HLS Kernel	x86 simulator	aie simulator	HW Emu	HW	Event Trace in HW	Profile in HW
A to Z Bare-metal Flow	Custom	Baremetal	Yes		MM2S / S2MM		Yes	Yes	Yes
Using GMIO with AIE	Base	Linux					Yes	Yes	Yes		Yes
Runtime Parameter Reconfiguration	Base	Linux			MM2S / S2MM		Yes	Yes	Yes
Packet Switching	Base	Linux			MM2S / S2MM		Yes	Yes	Yes
AIE Versal Integration	Base	Linux	Yes		MM2S / S2MM	Yes	Yes	Yes	Yes
AIE-ML Performance Analysis	Base	Linux					Yes	Yes	Yes		Yes
AIE Compiler Features	Base	Linux			MM2S / S2MM	Yes	Yes	Yes	Yes	Yes	Yes
Matrix Compute with Vitis Libraries	Base	Linux		DSPLib			Yes
Tiling Parameter Programming	Base	Linux				Yes	Yes		Yes

Design Tutorials

These tutorials target the VEK280 board. The following table lists the tutorials available, and the features and flows showcased in these tutorials. The various columns correspond to specific features/flows supported in these tutorials. Use them to identify tutorials that showcase specific flows and features that you are interested in.

Tutorial	Platform	OS	IDE Flow	Libraries Used	HLS Kernel	x86 simulator	aie simulator	HW Emu	HW	Event Trace in HW	Profile in HW
Versal Custom Thin Platform Extensible System	Custom	Linux			MM2S / S2MM / VADD			Yes	Yes
AIE-ML Programming	Base	Linux				Yes	Yes
Prime Factor FFT-1008 on AIE-ML	Base	Linux			MM2S / S2MM			Yes	Yes
AIE-ML LeNet Tutorial	Base	Linux			MM2S / S2MM		Yes	Yes	Yes		Yes
AIE API based FFT for Many Instances Applications	Base	Linux	Yes			Yes	Yes
Softmax Function on AIE-ML	Base	Linux				Yes	Yes
Migrating Farrow Filter from AIE to AIE-ML	Base	Linux				Yes	Yes	Yes	Yes
Polyphase Channelizer on AIE-ML using Vitis Libraries	Base	Linux		DSPLib	DataMover	Yes	Yes	Yes	Yes		Yes
MNIST ConvNet on AIE-ML	Base	Linux				Yes	Yes

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