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Performance profiler (sampled or instrumented) and analyzer, focused on game development. Proprietary Systemtap: Linux Programmable system tracing/probing tool; may be scripted to generate time- or performance-counter- or function-based profiles of the kernel and/or its userspace. Open source Valgrind: Linux, macOS, Solaris, Android
Python: Python profiling includes the profile module, hotshot (which is call-graph based), and using the 'sys.setprofile' function to trap events like c_{call,return,exception}, python_{call,return,exception}. Ruby: Ruby also uses a similar interface to Python for profiling. Flat-profiler in profile.rb, module, and ruby-prof a C-extension are ...
perf is used with several subcommands: stat: measure total event count for single program or for system for some time; top: top-like dynamic view of hottest functions; record: measure and save sampling data for single program [13] report: analyze file generated by perf record; can generate flat, or graph profile. [13] annotate: annotate sources ...
PHP, Perl and Python. Devel::NYTProf : a Perl performance analyser and call chart generator; phpCallGraph : a call graph generator for PHP programs that uses Graphviz. It is written in PHP and requires at least PHP 5.2. pycallgraph Archived 2007-05-25 at the Wayback Machine : a call graph generator for Python programs that uses Graphviz.
PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer. Quite stringent; includes many stylistic warnings as ...
A benchmark can be used to assess the performance of an algorithm in practice. Many programming languages have an available function which provides CPU time usage. For long-running algorithms the elapsed time could also be of interest. Results should generally be averaged over several tests.
In applied mathematics, test functions, known as artificial landscapes, are useful to evaluate characteristics of optimization algorithms, such as convergence rate, precision, robustness and general performance. Here some test functions are presented with the aim of giving an idea about the different situations that optimization algorithms have ...
In computing, inline expansion, or inlining, is a manual or compiler optimization that replaces a function call site with the body of the called function. Inline expansion is similar to macro expansion, but occurs during compilation, without changing the source code (the text), while macro expansion occurs prior to compilation, and results in different text that is then processed by the compiler.