User Tools

Site Tools



This shows you the differences between two versions of the page.

Link to this comparison view

Next revision
Previous revision
code:profiling [2009/11/30 01:25] external edit
code:profiling [2020/03/29 12:13] (current)
Line 5: Line 5:
 ===== Dynamic Memory Allocation ===== ===== Dynamic Memory Allocation =====
-The biggest ​problems with dynamic memory management are:+Typical ​problems with dynamic memory management are:
   - leaks and   - leaks and
   - corruption.   - corruption.
-While the later is rather tricky to analyse, for memleaks there is+While the latter ​is rather tricky to analyse, for memleaks there is
 ''​valgrind''​. Invocation as follows: ''​valgrind''​. Invocation as follows:
 <​code>​ <​code>​
Line 17: Line 17:
 ===== Performance ===== ===== Performance =====
-When programming, ​the code complexity (O-notation) is the main factor +When programming,​ code complexity (O-notation) is the main factor ​identifying 
-identifying ​CPU-intense algorithms. Reducing ​the code'​s ​complexity often +CPU-intense algorithms. Reducing code complexity often doesn'​t suffice, though. 
-doesn'​t suffice, though. E.g. IO-intense operations often lead to delays at +E.g. IO-intense operations often lead to delays at run-time which isn't covered 
-run-time which isn't covered by the O-notation, at all. This means that aside +by O-notation, at all. This means that aside of complexity analysis, there 
-of complexity analysis, there always should be run-time code execution time +always should be run-time code execution time measurement. 
-measurement. ​And this is where ''​gprof'' ​comes into action:+ 
 +==== GProf ==== 
 +''​gprof'' ​is a profiler integrated ​into gcc. Enabled at compile-time,​ the 
 +program collects profiling data for later analysis using ''​gprof''​ tool: 
 <​code>​ <​code>​
 $ gcc -pg -g test.c $ gcc -pg -g test.c
 $ ./a.out $ ./a.out
 $ gprof a.out gmon.out $ gprof a.out gmon.out
 +==== Perf ====
 +On recent kernels, ''​perf''​ is the best tool for the job. It may profile the
 +whole system like with obsoleted OProfile but may be limited to a single
 +program, also. Before executing the workload to profile (or while it is
 +running), call:
 +# perf record
 +When done, finish recording using ''​CTRL-c''​. perf data will be written to //​​ in local directory. To analyse, call:
 +# perf report
 +==== Python ====
 +Profiling Python is pretty simple, using cPython module:
 +$ python -m cPython
 </​code>​ </​code>​
Line 45: Line 71:
 of //test.c//. of //test.c//.
 +If linking happens in a separate step, some additional flags have to be passed to linker:
 +CFLAGS ​ += -fprofile-arcs -ftest-coverage
 +LDFLAGS += -lgcov --coverage
code/profiling.txt · Last modified: 2020/03/29 12:13 (external edit)