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    <p>You can use a trace class. The drawback: you have to declare an instance of this tracer in the very begining of each function you have to log/mesure. It also adds significant amount of cycles to your mesures, so only huge functions can be properly traced with this method.</p> <p>Another way to achieve that is to write a real profiler but such a tool already exists ( gprof ), and write a parser for it. Still you can write your own... a realy long task.</p> <p>I recommand you testing each function or group separately, in unit tests, this is the way we usualy do it efficiently. Then pops up a profiler and try to optimize the 10% code you are running 90% of the time. You are focusing on the small details by looking them far away.</p> <p>Here is an outpu of one of my tool:</p> <blockquote> <p>Fri Jul 09 00:49:12 2010 - [ 3799946229640 ] - D:\Code Project\include/design/BTL/algorithm/dispatch_policy.h::operator() # |...operator() ( ) {</p> <p>Fri Jul 09 00:49:12 2010 - [ 3799946246830 ] - D:\Code Project\include/design/BTL/algorithm/dispatch_policy.h::operator() # |...shape *, shape *</p> <p>Fri Jul 09 00:49:12 2010 - [ 3799946265738 ] - D:\Code Project\include/design/BTL/algorithm/dispatch_policy.h::operator() # |...} operator() : 46027 cpu_cycles</p> </blockquote> <p>As you stated above the output is huge making it impractical for deep analisys, you cannot neither monitor a program for too long due to the 20Mb/s output stream. It's only usefull when you already know where to investigate. Another concern du to the théorical bandwidth required by such a tool, you HAVE TO use bufferred ostreams ... making the tool all the more intrusive to the real software. I've already experienced a x10 slowdown !</p>
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