[Paraview] Profiling Paraview

[Gerstenberger, Axel]

Hi Chris,

I am using valgrind & callgrind and visualize with kcachegrind and use the RelWithDebInfo for cmake as a compromise for speed of execution and useful output.

I have a bash script valgrind_callgrind in my PATH with:
#!/bin/bash
valgrind -v --numcallers=50 --trace-children=yes --tool=callgrind --collect-jumps=yes --dump-instr=yes --dump-line=yes --collect-systime=yes “$@”
and call that like
valgrind_callgrind ./paraview  or valgrind_callgrind script.py.

You’ll get several callgrind.out.xxxxx for each process started. You can also profile Paraview python code and parallel runs, if you start pvserver with above command. kcachegrind is then used to look at each of these files.

Callgrind execution is quite slow, but it helped me a lot.

Cheers,
Axel



From: ParaView [mailto:paraview-bounces at paraview.org] On Behalf Of Christopher Neal
Sent: Monday, August 01, 2016 6:19 PM
To: paraview at paraview.org
Subject: [Paraview] Profiling Paraview

Hello,

For several months now I have had a serious issue with a Paraview Python script causing an enormous slowdown in the performance of Paraview as it executes. I have tried the old-fashioned method of peppering timing statements everywhere in the python script, but it is very tedious and hasn’t led me to the source of the issue. I was wondering if anyone has any suggestions for how to run a Paraview python script through a more advanced software profiler i.e. has anyone profiled the performance of Paraview as it executes a python script? And if so, what tools did you use?

Thank you,
Chris Neal
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