Home Hacker News Semile: a profiling framework (currently support c++)
Semile: a profiling framework (currently support c++)

Semile: a profiling framework (currently support c++)

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Why semile?
We semile bcoz it helps overcome the flaw/bottleneck of our programs


A profiling framework that provides the ability to monitor programs, in general of any programming language, by the following two pieces of information:
1. consumed time per execution
2. ‘footprint’ message per execution

  • Profile ‘semantically’ Each call to the same function plays its individual role within profiling. Normal ‘syntactic’ profilers are good in other aspects but fail to achieve this.
  • Lightweight The profiled program gives little run-time overhead. The viewer is compact that targets to provide only necessary information without fancy visual effect. It gives profile result in widespread PNG and XML format.
  • Message-embedded profile Custom information can be left within profile elements. It then also provides the ability to help reveal internal state/decision inside the program.

P.S. The user-provided semantic specifications (via the profile library) is necessary for semantic profile

python3 (viewer)
g++ (cpp profile library)

dot (graphviz)



(PNG format)

semile viewer PNG format sample
(XML format, browse by codebeautify.org/xmlviewer))


semile does not aim to profile all program execution, it only profile the execution specified via the profile library. Currently, cpp profile library is provided.

  1. Choose the statements to be profiled
  2. Let the statements be in some sense derived from ExecutionMonitor
    • Model the statements as a function, and place it inside an ExecutionMonitor descendant.
    • In particular, if the statements matches life cycle of a class object, then subclass ExecutionMonitor does the job.

Optionally, call ExecutionMonitor::addMessage() during life cycle of the ExecutionMonitor descendant, to leave custom footprint message.

void quicksort(vector<int>& x, int start_pos, int end_pos);

Suppose quicksort is the profiling target,

class QuicksortMonitor: public ExecutionMonitor
{
  QuicksortMonitor()
   :ExecutionMonitor("quicksort", __FILE__, __LINE__)  {}
  void operator()(vector<int>& x, int start_pos, int end_pos) 
  { 
    return quicksort_impl(x, start_pos, end_pos); 
  }
};

Class QuicksortMonitor, derived from ExecutionMonitor, is created. There is a function operator inside QuicksortMonitor, with its interface and implementation copy from quicksort. Note that quicksort is renamed to quicksort_impl.

void quicksort(vector<int>& x, int start_pos, int end_pos)
{
  QuicksortMonitor()(x, start_pos, end_pos);
}

The profiling enabled quicksort now instantiate a QuicksortMonitor instance, and invokes its function operator.

void QuicksortMonitor::addMsg(
  const vector<int>& x, int start_pos, int end_pos)
{  
  stringstream stream;
  for (int i = start_pos; i <= end_pos; ++i) {
    stream << x[i] << " ";
  }
  addMessage(stream.str());
}

In addition, we can log profile message within QuicksortMonitor at any time.

One possible viewer generated PNG is as follows:
(run quicksort 3 times with random inputs)
the viewer generated PNG for quicksort


Please contact rkan by its_right@msn.com for any question/request/bug without hesitation.



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