You can obtain profiling data when you run your AIE simulation. Analyzing this
data helps you gauge the efficiency of the kernels, the stall and active times
associated with each AI Engine, and pinpoint AI Engine kernels whose performance might not be optimal.
This also allows you to collect data on design latency, throughput, and bandwidth. In
addition to this, you can do event trace using a formatted printf statement in the code for printing debug messages. To achieve this,
you should enable the option Collect profiling
statistics and enable 'printf' for debugging in the
Analyze tab of the Vitis Model Composer Hub block.
Important: Using this option generates a run_summary file
which is written to the aiesimulator_output folder.
Important: Enabling this option might
slightly increase the overall AIE simulation time.