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I am using VTune's sampling activity on Linux/VTune 9.1 build 226, and was wondering if it is possible to display the hotspot-functions CPU_CLK_UNHALTED.CORE % as accumulated values with their subroutines (like OProfile does with it's callgraph sampling ability).
I am viewing the hotspot's results as follows:
vtl view -ar a1 -hf -mn libavcodec.so,g722_audio_pwplugin.so
For some reasons (slowdown of the application), I cannot use VTune's callgraph activity.
Thanks a lot!
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I am using VTune's sampling activity on Linux/VTune 9.1 build 226, and was wondering if it is possible to display the hotspot-functions CPU_CLK_UNHALTED.CORE % as accumulated values with their subroutines (like OProfile does with it's callgraph sampling ability).
I am viewing the hotspot's results as follows:
vtl view -ar a1 -hf -mn libavcodec.so,g722_audio_pwplugin.so
For some reasons (slowdown of the application), I cannot use VTune's callgraph activity.
Thanks a lot!
This is the general limitation of the sampling technology - you get the samples that hit the concrete function without any connection to children or parent functions, i.e. flat profile.
However, you might want to try Intel Performance Tuning Utility, which provides Statistical Call Graph technology and may help to find what you need.
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This is the general limitation of the sampling technology - you get the samples that hit the concrete function without any connection to children or parent functions, i.e. flat profile.
However, you might want to try Intel Performance Tuning Utility, which provides Statistical Call Graph technology and may help to find what you need.
Can you give me any hints to create sampled-call graphs with smaller intervals using VTune or the Performance Tuning Utility?
Thanks a lot again!
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Can you give me any hints to create sampled-call graphs with smaller intervals using VTune or the Performance Tuning Utility?
Thanks a lot again!
Smaller intervals provides EBS only, which doesn't provide stacks, though. However, the general solution would be to transform the analyzed application by making those small functions called many times. This would statistically increase the probability of samples to hit the address range within the functions.
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