I\'ve been using the gprof
profiler in conjunction with g++
.
I have a function in my code which encapsulates several sections of behaviour whic
Here's a useful resource for you: gprof line by line profiling.
With older versions of the gcc compiler, the gprof -l
argument specified line by line profiling.
However, newer versions of gcc use the gcov
tool instead of gprof
to display line by line profiling information.
If you are using linux, then you can use linux perf instead of gprof, as described here:
http://code.google.com/p/jrfonseca/wiki/Gprof2Dot#linux_perf
Typing perf report
and selecting a function will allow you to get line-by-line information about where the CPU time is spent inside the function.
I know it's a old question, but I have found a interesting answer.
As Sam say, the -l
option is only for old gcc compiler. But I have found that if you compile and link with -pg -fprofile-arcs -ftest-coverage
, run the program, the result of gprof -l
is very interesting.
Flat profile:
Each sample counts as 0.01 seconds.
% cumulative self self total
time seconds seconds calls Ts/call Ts/call name
13.86 0.26 0.26 main (ComAnalyste.c:450 @ 804b315)
10.87 0.46 0.20 main (ComAnalyste.c:386 @ 804b151)
7.07 0.59 0.13 main (ComAnalyste.c:437 @ 804b211)
6.25 0.70 0.12 main (ComAnalyste.c:436 @ 804b425)
4.89 0.79 0.09 main (ComAnalyste.c:283 @ 804a3f4)
4.89 0.88 0.09 main (ComAnalyste.c:436 @ 804b1e9)
4.08 0.96 0.08 main (ComAnalyste.c:388 @ 804ad95)
3.81 1.03 0.07 main (ComAnalyste.c:293 @ 804a510)
3.53 1.09 0.07 main (ComAnalyste.c:401 @ 804af04)
3.26 1.15 0.06 main (ComAnalyste.c:293 @ 804a4bf)
2.72 1.20 0.05 main (ComAnalyste.c:278 @ 804a48d)
2.72 1.25 0.05 main (ComAnalyste.c:389 @ 804adae)
2.72 1.30 0.05 main (ComAnalyste.c:406 @ 804aecb)
2.45 1.35 0.05 main (ComAnalyste.c:386 @ 804ad6d)
2.45 1.39 0.05 main (ComAnalyste.c:443 @ 804b248)
2.45 1.44 0.05 main (ComAnalyste.c:446 @ 804b2f4)
2.17 1.48 0.04 main (ComAnalyste.c:294 @ 804a4e4)
2.17 1.52 0.04 main (ComAnalyste.c:459 @ 804b43b)
1.63 1.55 0.03 main (ComAnalyste.c:442 @ 804b22d)
1.63 1.58 0.03 main (ComAnalyste.c:304 @ 804a56d)
1.09 1.60 0.02 main (ComAnalyste.c:278 @ 804a3b3)
1.09 1.62 0.02 main (ComAnalyste.c:285 @ 804a450)
1.09 1.64 0.02 main (ComAnalyste.c:286 @ 804a470)
1.09 1.66 0.02 main (ComAnalyste.c:302 @ 804acdf)
0.82 1.67 0.02 main (ComAnalyste.c:435 @ 804b1d2)
0.54 1.68 0.01 main (ComAnalyste.c:282 @ 804a3db)
0.54 1.69 0.01 main (ComAnalyste.c:302 @ 804a545)
0.54 1.70 0.01 main (ComAnalyste.c:307 @ 804a586)
0.54 1.71 0.01 main (ComAnalyste.c:367 @ 804ac1a)
0.54 1.72 0.01 main (ComAnalyste.c:395 @ 804ade6)
0.54 1.73 0.01 main (ComAnalyste.c:411 @ 804aff8)
0.54 1.74 0.01 main (ComAnalyste.c:425 @ 804b12a)
0.54 1.75 0.01 main (ComAnalyste.c:429 @ 804b19f)
0.54 1.76 0.01 main (ComAnalyste.c:444 @ 804b26f)
0.54 1.77 0.01 main (ComAnalyste.c:464 @ 804b4a1)
0.54 1.78 0.01 main (ComAnalyste.c:469 @ 804b570)
0.54 1.79 0.01 main (ComAnalyste.c:472 @ 804b5b9)
0.27 1.80 0.01 main (ComAnalyste.c:308 @ 804a5a3)
0.27 1.80 0.01 main (ComAnalyste.c:309 @ 804a5a9)
0.27 1.81 0.01 main (ComAnalyste.c:349 @ 804a974)
0.27 1.81 0.01 main (ComAnalyste.c:350 @ 804a99c)
0.27 1.82 0.01 main (ComAnalyste.c:402 @ 804af1d)
0.27 1.82 0.01 main (ComAnalyste.c:416 @ 804b073)
0.27 1.83 0.01 main (ComAnalyste.c:417 @ 804b0a1)
0.27 1.83 0.01 main (ComAnalyste.c:454 @ 804b3ec)
0.27 1.84 0.01 main (ComAnalyste.c:461 @ 804b44a)
0.27 1.84 0.01 main (ComAnalyste.c:462 @ 804b458)
It's say the time spent per line. It's very interesting result. I don't know the accuracy or the validity of that, but it's quite interesting. Hope it's help