AFAIK profilers can only tell how much time is spent in each function. But since C++ compilers tend to inline code aggressively and also some functions are not that short it's often useful to know more details - how much time each construct consumes.
How can this be achieved except restructuring code into smaller functions?
If you can use callgrind then you can get a summary of which methods are taking most of the processing time. Then you can use kcachegrind to view the results. It gives a very nice graph, through which you can easily browse and find bottlenecks.
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