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Paketbeschreibung


Paketnameqprof
BeschreibungProfiling utilities for Linux
Archiv/RepositoryOffizielles Ubuntu Archiv lucid (universe)
Version0.5.2-5ubuntu1
Sektionuniverse/devel
Prioritätoptional
Installierte Größe144 Byte
Hängt ab vonlibc6 (>= 2.4), binutils
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PaketbetreuerUbuntu MOTU Developers
Quelle
Paketgröße31976 Byte
Prüfsumme MD56509a62e5a4b187e2448ac44b1ae6ced
Prüfsumme SHA1ef94c52fc9dee435dfbc72b90a78c432d8b15c72
Prüfsumme SHA256922cb3473e81c734904df9926b1c07eda82baba7addf5563119a2110c1d63f19
Link zum Herunterladenqprof_0.5.2-5ubuntu1_i386.deb
Ausführliche BeschreibungThis is a set of profiling utilities, currently targeting only Linux. It includes a simple command line profiling tool, with the following characteristics: * It is intended to be easy to install and use. No kernel modules or changes are required for basic use. It can be used without root access. * It supports profiling of dynamically linked code and includes information on time spent in dynamic libraries. * It supports profiling of multithreaded applications. * It generates profiles for all subprocesses started from a shell. Thus it easily can be used to profile application with multiple processes. * It tries to generate symbolic output. This is usually successful for the main program, if that has debug information, i.e. was compiled with -g. If not, you may need a debugger to fully interpret the results. However the raw output will often give you a rough idea of where processor time is spent. * It currently generates "flat" profiles. The output tells you roughly how much time was spent in a given instruction, line, or function f. By default this does not include time spent in functions called by f, but on platforms supported by libunwind a possible alternative is to include callees in profile counts, thus recovering some gprof-like functionality. * Linux kernel functions are not profiled separately. By default, time spent in the kernel is credited to the library function which made the kernel call. * On Itanium, it can be used to generate hardware-event-based profiles. For example, it can tell you where most of the cache misses occur.


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