Google profiler for Performance and Memory Analysis

Goolge profiler tool instalation for Ubuntu:
sudo apt-get install google-perftools

Analyse memory consumption:
LD_PRELOAD=/usr/lib/libtcmalloc.so.0.0.0 HEAPPROFILE=gpt-heapprofile.log ./your-program

To analyse mmp please set HEAP_PROFILE_MMAP environment variable to TRUE.

Performance analysis:
LD_PRELOAD=/usr/lib/libprofiler.so.0.4.5 CPUPROFILE=/home/amd/gst-log gst-launch-1.0 -f filesrc location= ./1080p_H264.mp4 ! qtdemux ! h264parse ! vaapidecode ! filesink location= test.yuv


Convert Data to pdf format:
google-pprof --pdf  /usr/bin/python /home/amd/gst-log >  profile_output.pdf

Text output can be obtained by typing:
google-pprof --text /usr/bin/python /home/amd/gst-log > profiling_output.txt

The file "/home/amd/gst-log" can also be analyzed with some specific graphical interfaces like "kcachegrind".

To prepare de data for kcachegrind type:
   google-pprof --callgrind /usr/bin/python /home/amd/gst-log > profiling_kcachegrind.txt
 
visualize the information use kcachegrind:
   kcachegrind profiling_kcachegrind.txt &

Example view of Performance Analysis:

References:
http://goog-perftools.sourceforge.net/doc/cpu_profiler.html

http://alexott.net/en/writings/prog-checking/GooglePT.html

http://kratos-wiki.cimne.upc.edu/index.php/How_to_Profile_an_application_(using_google-perftools)

http://stackoverflow.com/questions/10874308/how-to-use-google-perf-tools