runMoore_Single.py

Profiling results using only google profiling tool

Profing results with algorithm names

Results interpretation

Here is how to interpret the columns:

1. Number of profiling samples in this function
2. Percentage of profiling samples in this function
3. Percentage of profiling samples in the functions printed so far
4. Number of profiling samples in this function and its callees
5. Percentage of profiling samples in this function and its callees
6. Function name

Each node represents a procedure. The directed edges indicate caller to callee relations. Each node is formatted as follows:

• Class Name
• Method Name
• local (percentage)
• of cumulative (percentage)

The last one or two lines contains the timing information. (The profiling is done via a sampling method, where by default we take 100 samples a second. Therefor one unit of time in the output corresponds to about 10 milliseconds of execution time.) The "local" time is the time spent executing the instructions directly contained in the procedure (and in any other procedures that were inlined into the procedure). The "cumulative" time is the sum of the "local" time and the time spent in any callees. If the cumulative time is the same as the local time, it is not printed.

The size of the node is proportional to the local count. The percentage displayed in the node corresponds to the count divided by the total run time of the program (that is, the cumulative count for main()).

Edge Information

An edge from one node to another indicates a caller to callee relationship. Each edge is labelled with the time spent by the callee on behalf of the caller.

-- SashaMazurov - 14-Oct-2011