You can obtain profiling data when you run your AIE simulation.
Analyzing this data helps you gauge the efficiency of the kernels, and the stall and
active times associated with each AI Engine. It also
helps to 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, 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 can
slightly increase the overall AIE simulation time.