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gprof [-abcCDlsz] [-e function-name] [-E function-name] [-f function-name] [-F function-name] [image-file [profile-file...]] [-n number of functions]
First, execution times for each routine are propagated along the edges of the call graph. Cycles are discovered, and calls into a cycle are made to share the time of the cycle. The first listing shows the functions sorted according to the time they represent, including the time of their call graph descendants. Below each function entry is shown its (direct) call-graph children and how their times are propagated to this function. A similar display above the function shows how this function's time and the time of its descendants are propagated to its (direct) call-graph parents.
Cycles are also shown, with an entry for the cycle as a whole and a listing of the members of the cycle and their contributions to the time and call counts of the cycle.
Next, a flat profile is given. This listing gives the total execution times and call counts for each of the functions in the program, sorted by decreasing time. Finally, an index is given, which shows the correspondence between function names and call-graph profile index numbers.
A single function may be split into subfunctions for profiling by means of the MARK macro. See prof(7).
Beware of quantization errors. The granularity of the sampling is shown, but remains statistical at best. It is assumed that the time for each execution of a function can be expressed by the total time for the function divided by the number of times the function is called. Thus the time propagated along the call-graph arcs to parents of that function is directly proportional to the number of times that arc is traversed.
The profiled program must call exit(2) or return normally for the profiling information to be saved in the gmon.out file.
Suppress printing statically declared functions. If this option is given, all relevant information about the static function (for instance, time samples, calls to other functions, calls from other functions) belongs to the function loaded just before the static function in the a.out file.
Brief. Suppress descriptions of each field in the profile.
Discover the static call-graph of the program by a heuristic which examines the text space of the object file. Static-only parents or children are indicated with call counts of 0. Note that for dynamically linked executables, the linked shared objects' text segments are not examined.
Demangle symbol names before printing them out.
Produce a profile file gmon.sum that represents the difference of the profile information in all specified profile files. This summary profile file may be given to subsequent executions of gprof (also with -D) to summarize profile data across several runs of an a.out file. See also the -s option. As an example, suppose function A calls function B n times in profile file gmon.sum, and m times in profile file gmon.out. With -D, a new gmon.sum file will be created showing the number of calls from A to B as n-m.
Suppress printing the graph profile entry for routine function-name and all its descendants (unless they have other ancestors that are not suppressed). More than one -e option may be given. Only one function-name may be given with each -e option.
Suppress printing the graph profile entry for routine function-name (and its descendants) as -e, below, and also exclude the time spent in function-name (and its descendants) from the total and percentage time computations. More than one -E option may be given. For example: -E mcount -E mcleanup is the default.
Print the graph profile entry only for routine function-name and its descendants. More than one -f option may be given. Only one function-name may be given with each -f option.
Print the graph profile entry only for routine function-name and its descendants (as -f, below) and also use only the times of the printed routines in total time and percentage computations. More than one -F option may be given. Only one function-name may be given with each -F option. The -F option overrides the -E option.
Suppress the reporting of graph profile entries for all local symbols. This option would be the equivalent of placing all of the local symbols for the specified executable image on the -E exclusion list.
Limits the size of flat and graph profile listings to the top n offending functions.
Produce a profile file gmon.sum which represents the sum of the profile information in all of the specified profile files. This summary profile file may be given to subsequent executions of gprof (also with -s) to accumulate profile data across several runs of an a.out file. See also the -D option.
Display routines which have zero usage (as indicated by call counts and accumulated time). This is useful in conjunction with the -c option for discovering which routines were never called. Note that this has restricted use for dynamically linked executables, since shared object text space will not be examined by the -c option.
If this environment variable contains a value, place profiling output within that directory, in a file named pid.programname. pid is the process ID and programname is the name of the program being profiled, as determined by removing any path prefix from the argv[0] with which the program was called. If the variable contains a null value, no profiling output is produced. Otherwise, profiling output is placed in the file gmon.out.
executable file containing namelist
dynamic call-graph and profile
summarized dynamic call-graph and profile
Graham, S.L., Kessler, P.B., McKusick, M.K., gprof: A Call Graph Execution Profiler Proceedings of the SIGPLAN '82 Symposium on Compiler Construction, SIGPLAN Notices, Vol. 17, No. 6, pp. 120-126, June 1982.
Linker and Libraries Guide
LD_LIBRARY_PATH must not contain /usr/lib as a component when compiling a program for profiling. If LD_LIBRARY_PATH contains /usr/lib, the program will not be linked correctly with the profiling versions of the system libraries in /usr/lib/libp.
The times reported in successive identical runs may show variances because of varying cache-hit ratios that result from sharing the cache with other processes. Even if a program seems to be the only one using the machine, hidden background or asynchronous processes may blur the data. In rare cases, the clock ticks initiating recording of the program counter may beat with loops in a program, grossly distorting measurements. Call counts are always recorded precisely, however.
Only programs that call exit or return from main are guaranteed to produce a profile file, unless a final call to monitor is explicitly coded.
Functions such as mcount(), _mcount(), moncontrol(), _moncontrol(), monitor(), and _monitor() may appear in the gprof report. These functions are part of the profiling implementation and thus account for some amount of the runtime overhead. Since these functions are not present in an unprofiled application, time accumulated and call counts for these functions may be ignored when evaluating the performance of an application.
When using the -s or -Doption to sum multiple profile files, care must be taken not to mix 32-bit profile files with 64-bit profile files.
Because the time spent in a shared object cannot be accounted for, the use of shared objects should be minimized whenever a program is profiled with gprof. If desired, the program should be linked to the profiled version of a library (or to the standard archive version if no profiling version is available), instead of the shared object to get profile information on the functions of a library. Versions of profiled libraries may be supplied with the system in the /usr/lib/libp directory. Refer to compiler driver documentation on profiling.
Consider an extreme case. A profiled program dynamically linked with the shared C library spends 100 units of time in some libc routine, say, malloc(). Suppose malloc() is called only from routine B and B consumes only 1 unit of time. Suppose further that routine A consumes 10 units of time, more than any other routine in the main (profiled) portion of the image. In this case, gprof will conclude that most of the time is being spent in A and almost no time is being spent in B. From this it will be almost impossible to tell that the greatest improvement can be made by looking at routine B and not routine A. The value of the profiler in this case is severely degraded; the solution is to use archives as much as possible for profiling.