Designing with Versal AI Engine: DSP Applications

This course covers the AMD Versal™ AI Engine architecture and using the AI Engine DSP Library, system partitioning, rapid prototyping, and custom coding of AI Engine kernels.

Course Description

This course covers the AMD Versal AI Engine architecture, the AI Engine DSP Library, system partitioning, rapid prototyping, and custom coding of AI Engine kernels. It also demonstrates developing AI Engine DSP designs using the AMD Vitis Model Composer.

The emphasis of this course is on:

• Overview of AI Engine architecture
• Utilizing the Vitis DSP library for AI Engines
• Performing system partitioning and planning
• Adding custom kernel code for designs
• Creating AI Engine DSP designs using Vitis Model Composer
• Analyzing reports using the Analysis view of the Vitis Unified IDE

Training Duration

11 hours

Additional Information

• Number of Chapters: 8
• Number of Labs: 5
• Number of Demos: 0
• Current Version: 2025.2

What's New

• Added information on microcode basics
• Added kernel optimization techniques via source code updating
• Added factors that impact performance
• All labs updated to the latest software versions

Chapters

Chapter 1

• AMD Versal AI Engine Architecture

Chapter 2

• Introduction to the AI Engine DSP Library

Chapter 3

• System Partitioning Methodology

Chapter 4

• Rapid Prototyping and Custom Coding of AI Engine Kernels

Chapter 5

• Overview of AI Engine Kernel Optimization

Chapter 6

• Analyzing AI Engine Design Reports Using the Vitis Unified IDE

Chapter 7

• AI Engine DSP Designs with Vitis Model Composer

Chapter 8

• Designing with Versal AI Engine: DSP Applications