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 may 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 acheive this,
you should enable the option Collect profiling statistics and
enable 'printf' for debugging in the 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 may
slightly increase the overall AIE simulation time.