Performance Analysis of AI Engine Graph Application on Hardware - 2025.2 English

AI Engine Tools and Flows User Guide (UG1076)

Document ID
UG1076
Release Date
2025-11-20
Version
2025.2 English

A system-level view of program execution can be helpful in identifying problems during program execution including functional correctness and performance related challenges. While system level hardware emulation helps during the development phase of the system, AMD also offers functional and performance debug flows in hardware. The AI Engine architecture has support for generation, collection, and streaming of profile related data, and events as trace data during hardware execution.

Tip: To support the testing of AI Engine graphs on VCK190, AMD provides a ready-to-use test harness. This test harness allows a simple and natural transition from the AI Engine simulation environment to testing on hardware. Using the test harness, AI Engine graphs in simulation can run on hardware within minutes with only a few minor modifications. See the https://xilinx.github.io/AI-Engine-Test-Harness/ AI Engine for more details.
Warning: This chapter covers performance analysis on hardware. This cannot be used in hardware emulation.