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I need a dynamic call graph for my app. I run it with callgrind tool (valgrind suite) and got callgrind.out.xxxxx file. Now, I want to make a graphical representation of this data. KCacheGrind doesn't help me much because it draws a limited part of the graph (draws ~50 functions instead of ~1500 profiled and I don't know how to fix that). How can I get a graph image where all of the functions will be drawn?
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Callgrind records the count of instructions, not the actual time spent in a function. If you have a program where the bottleneck is file I/O, the costs associated with reading and writing files won't show up in the profile, as those are not CPU-intensive tasks.
To use Callgrind, you must specify --tool=callgrind on the Valgrind command line or use the supplied script callgrind . Callgrind's cache simulation is based on the Cachegrind tool of the Valgrind package.
Overview. Callgrind is a profiling tool that records the call history among functions in a program's run as a call-graph. By default, the collected data consists of the number of instructions executed, their relationship to source lines, the caller/callee relationship between functions, and the numbers of such calls.
Ir: The number of instructions executed in total by the selected function after being called by this caller.
Using the following command to generate graph.png using gprof2dot
$ ./gprof2dot.py --format=callgrind --output=out.dot /path/to/callgrind.out
$ dot -Tpng out.dot -o graph.png
Ok, I've found the way. The generated callgrind.out file you can convert to dot file using gprof2dot (yes, this tool can parse callgrind files as well). And then you can get the graph image using dot -T<type> dotfile.dot -o graphfile.<type>
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