Designing with Versal AI Engine 2: Graph Programming with AI Engine Kernels
Designing with Versal AI Engine 2: Graph Programming with AI Engine Kernels
This course, Versal® AI Engine 2, describes the system design flow and interfaces that can be used for data movements in the Versal AI Engine. It also demonstrates how to utilize the advanced MAC intrinsics, AI Engine library for faster development and advanced features in adaptive data flow (ADF) graph implementation, such as using streams, cascade stream, buffer location constraints, run-time parameterization and APIs to update and/read run-time parameters.
The emphasis of this course is on implementing a system-level design flow (PS + PL + AIE) and the supported simulation, using an interface for data movement between the PL and AI Engine, utilizing advanced MAC intrinsics to implement filters, utilizing the AI Engine library for faster development, and applying advanced features for optimizing a system-level design.
Click here for more information about the Xilinx® Versal ACAP.
| 2-Day Instructor-led Course | Price USD | Training Credits |
|---|---|---|
| Hosted Online - $299/day | $598 | 6 |
| In-Person Registration - $399/day | $798 | 8 |
| Printed Course Book (A PDF book is included in the course fee) | $100 | 1 |
| Private Training | Contact Us | Contact Us |
| Follow on Coaching | Contact Us | Contact Us |
Scheduled Classes
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Who should attend:
Software and hardware developers, system architects, and anyone who needs to accelerate their software applications using Xilinx devices.
Skills Gained
After completing this comprehensive training, you will know how to:
- Describe the system-level flow, which includes PS + PL + AIE (SW-HW-SW) designs
- Describe the supported emulation for a system-level design
- Also describe the data movement between the PS, PL, and AI Engines
- Describe the implementation of the AI Engine and programmable logic
- Implement a system-level design for Versal ACAPs with the Vitis™ tool flow
- Utilize advanced MAC intrinsic syntax and application-specific intrinsics such as DDS and FFT
- Utilize the AI Engine DSP library for faster development
- Apply location constraints on kernels and buffers in the AI Engine array
- Apply runtime parameters to modify application behavior
- Debug a system-level design
Course Outline
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Please note: The instructor may change the content order to provide a better learning experience.
Prerequisites:
- Comfort with the C/C++ programming language
- Software development flow
- Vitis software for application acceleration development flow
- Designing with Versal AI Engine 1: Architecture and Design Flow OR Designing with the Versal ACAP: Architecture and Methodology