Dennis V. Perepelitsa wrote:
> Hi, all.
>
> I've run some benchmarks comparing the performance of scipy, numpy,
> Numeric and numarray vs. MATLAB. There's also the beginnings of a
> benchmark framework included. The results are online at:
>
> http://web.mit.edu/jonas/www/bench/
>
> They were produced on a Thinkpad T42 with an Intel Pentium M 1.7GHz
> processor running Ubuntu Dapper Drake (6.06). All the languages/packages
> were built from source, and, in the case of numpy and scipy, linked to
> ATLAS. Each datapoint represents the arithmetic mean of ten trials.
I have two suggestions based on a two-second glance at this:
1) Use time.time() on UNIX and time.clock() on Windows. The usual snippet of
code I use for this:
import sys
import time
if sys.platform == 'win32':
now = time.clock
else:
now = time.time
t1 = now()
...
t2 = now()
2) Never take the mean of repeated time trials. Take the minimum if you need to
summarize a set of trials.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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