Function Call Tracing

To trace C/C++ function calls, integrate an instrumentation library into your program to log function entry and exit events. When run, it generates per-thread trace logs for multi-threaded applications to collect detailed call traces.

To visualize C/C++ function traces in Perfetto, use a converter to transform generated per-thread log files into Perfetto-compatible JSON. This produces a trace.json file you can load into the Perfetto UI for visual analysis.

Profiling hot paths across multiple threads requires instrumenting C/C++ programs to generate per-thread logs. This allows you to correlate events across threads and diagnose performance bottlenecks visually.

Yes, you can use Perfetto to diagnose C/C++ performance issues. By instrumenting your code to generate trace logs and converting them to Perfetto JSON, you can visualize call traces to identify hot paths.

Before converting to Perfetto JSON, the trace logs produce per-thread files named trace_<tid>.log. These files capture function call instrumentation data for each thread individually.

Function call tracing for C/C++ performance analysis requires integrating an instrumentation library and building the program with it. It is specifically designed for diagnosing multi-threaded applications by correlating events across threads.