On Mar 3, 9:57 am, [EMAIL PROTECTED] wrote:
> Hi,
>
> I've seen several threads on this subject, but haven't (yet) run
> across one that answers my specific questions. This should be really
> easy for someone, so here goes:
>
> I'm running some numerical simulations under Ubuntu, and using Python
> as my scripting language to automatically manage input and output. I
> need to have a precise performance measurement (CPU time) of how long
> it takes to run my simulations.
>
> Right now I have something like:
>
> stime = time.time()
> subprocess.call(["./mysim","args"])
> ftime = time.time()
> print ftime-stime
>
> However, time.time() only gives wall-clock time, so I'm also measuring
> the time it takes to run other processes running at the same time.
> What I'd rather have is:
>
> stime = time.clock()
> subprocess.call(["./mysim","args"])
> ftime = time.clock()
> print ftime-stime
>
> But this, of course, usually outputs 0, because time.clock() does not
> count the CPU ticks of the subprocess.
>
> So, long story short, I need to get CPU time of something I call using
> subprocess.call(). I don't want to have to profile my code, since it
> will significantly reduce computation time.
Use os.times(). It returns a 5-tuple and what you want is child cpu
times.
times(...)
times() -> (utime, stime, cutime, cstime, elapsed_time)
Return a tuple of floating point numbers indicating process times.
cutime+cstime will give you the total CPU used by child (your
simulation).
Karthik
>
> Thanks for the advice.
>
> Kevin
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