This course describes the system design flow and interfaces that can be used for data movement in the Versal™ AI Engine. It demonstrates how to utilize AI Engine APIs and the AI Engine DSP library for faster development. In addition, advanced features in adaptive data flow (ADF) graph implementation, such as using streams, cascade streams, buffer location constraints, runtime parameterization, and APIs to update and read runtime parameters, are covered. The course also highlights how to utilize the Vitis™ Model Composer tool for AI Engine designs.
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 AI Engine APIs for arithmetic operations and advanced MAC intrinsics to implement filters
▪Utilizing the AI Engine DSP library for faster development
▪Applying runtime parameters for an AI Engine design
▪Utilizing the Vitis Model Composer tool for AI Engine designs
