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dominic created page: Statistic profiling with perf
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Dec 19, 2017
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Dominic Kempf
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Small documentation on how to get some meaningful results on where we spend our time:
# Step 1: Building
Start from a fully optimized build and add the following flags
*
`-ggdb`
for debug symbols
*
`-fno-omit-frame-pointer`
to not have unidentifiable samples in the dataset
# Step 2: Running
Start the program (for sake of simplicity: sequential program) through the following wrapper:
```
perf record --call-graph fp ./program
```
# Step 3: Analyzing
For a live analysis try (in the same directory you ran stuff in):
```
perf report --hierarchy
```
Unfortunately, PDELab types are so long, that perf completely trips over and cuts them unreadable.
To get around, do:
```
perf report --hierarchy --stdio --no-demangle > undemangled
c++filt < undemangled > demangled
```
And try to read the
`demangled`
file.
# Step 4: Postprocessing
I am currently writing a small postprocessing tool to dig through template parameters efficiently.
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