Skip to content

Latest commit

 

History

History

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 
 
 
 
 

AIE-ML Development

See Vitis™ Development Environment on xilinx.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 a Versal AIE-ML array in conjunction with PL IP/kernels and software applications running on the 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. Both phases are demonstrated in these tutorials.

IMPORTANT: Before beginning a tutorial, ensure you have installed the AMD Vitis™ 2024.2 software. The Vitis release includes all the embedded base platforms, including the VEK280 base platform that is used in these tutorials. In addition, ensure you have downloaded the Common Images for Embedded Vitis Platforms from Downloads.

The common image package contains a prebuilt Linux kernel and root file system that can be used with the AMD Versal™ board 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-v2024.2/environment-setup-cortexa72-cortexa53-xilinx-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-v2024.2/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-v2024.2 directory.
  4. Set up your PLATFORM_REPO_PATHS environment variable to $XILINX_VITIS/base_platforms.

Feature Tutorials

These tutorials target the VEK280 board. The table below lists the tutorials available, and the features and flows showcased in all of these tutorials. The various columns correspond to specific features/flows supported in these tutorials and will 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 SW Emu HW Emu HW Event Trace in HW Profile in HW
A to Z Bare-metal Flow Custom Baremetal Vivado &
Vitis IDE
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 CLI / Vitis Unified IDE MM2S / S2MM Yes 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

Design Tutorials

These tutorials target the VEK280 board. The table below lists the tutorials available, and the features and flows showcased in all of these tutorials. The various columns correspond to specific features/flows supported in these tutorials and will 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 SW Emu 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 Vitis Unified IDE 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 Yes Yes
MNIST ConvNet on AIE-ML Base Linux DSPLib DataMover Yes Yes Yes Yes Yes

Copyright © 2020–2024 Advanced Micro Devices, Inc

Terms and Conditions