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whats is presice compute time in matlab

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Abolfazl Nejatian
Abolfazl Nejatian on 30 Jan 2020
Hi every one,
i just want to check different parts of my code's computation time, so i use tic toc function.
the results are varied than i use this loop and find out strange results
for i=1:13
tic,toc;
end
  • Elapsed time is 0.000037 seconds.
  • Elapsed time is 0.000013 seconds.
  • Elapsed time is 0.000014 seconds.
  • Elapsed time is 0.000013 seconds.
  • Elapsed time is 0.000121 seconds.
  • Elapsed time is 0.000002 seconds.
  • Elapsed time is 0.000001 seconds.
  • Elapsed time is 0.000001 seconds.
  • Elapsed time is 0.000001 seconds.
  • Elapsed time is 0.000000 seconds.
  • Elapsed time is 0.000000 seconds.
  • Elapsed time is 0.000000 seconds.
  • Elapsed time is 0.000000 seconds.
the question is these different elapsed times how created?
and why the elapsed time sequence is descending?
kind regard,
Abolfazl

Answers (1)

Bjorn Gustavsson
Bjorn Gustavsson on 30 Jan 2020
These fluctuations are "kind of expected", your computer does a lot of other stuff in addition to running matlab which gives the elapsed time a little bit of variation. To get good estimates of the differences in running-times of code-snippets the general rule is to take the average time over some reasonable number of itterations.
For your case a better option might be to run your code with profiling on - that will give you a very precise tracking of what lines takes how much time, chech the help and documentation for profile.
Matlab used to have functions for cpu-time used, but that was discontinued after multithreading and other modern capacities was introduced.
HTH
  3 Comments
Abolfazl Nejatian
Abolfazl Nejatian on 4 Feb 2020
dear Walter,
thank you for your response,
i try the timeit() function and it was work for me.
actually i need to evaluate small time from a WebSocket server which are in the millisecond range.
but most of the time evaluation method didn't work efficiently and i finally send a big bunch of data and evaluate the processing time by dividing data size to the total computation time to understanding the computation time per sample.

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