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Re: Octave vs Matlab ?
Posted:
Feb 24, 1997 1:56 PM
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In article <blattner-2402971446520001@mac03-14.unine.ch>, Blattner Peter <blattner@imt.unine.ch> wrote:
: is there any significant difference between Octave and Matlab in respect : of speed ?
I suppose it depends on what you want to do. If you want to know what the differences are for problems you might care about, why not run some tests for yourself?
Here is a comparision of a couple of simple things. I ran this on an HP 700 series machine.
Octave 2.0.x Matlab 4.2 ------------ ----------
3 nested loops 31.81 9.85 (CPU seconds)
rand, svd, inv, lu 0.14 0.18 (once)
rand, svd, inv, lu 9.59 18.33 (1 loop, 100 times)
rand, svd, inv, lu 9.57 18.32 (2 nested loops, 100 times total)
Here is the code I used for the test:
t = cputime; for n = 1:10; for m = 1:100; for k = 1:100; x = n*m^2*k^3; end; end; end cputime-t
k = 50; n = 100; t = cputime; x = rand (k); [u, s, v] = svd (x); y = inv (x); [l, u, p] = lu (x); cputime-t
t = cputime; for i = 1:n x = rand (k); [u, s, v] = svd (x); y = inv (x); [l, u, p] = lu (x); end cputime-t
n = 10; m = 10; t = cputime; for i = 1:n; for i = 1:m x = rand (k); [u, s, v] = svd (x); y = inv (x); [l, u, p] = lu (x); end; end cputime-t
I'm sure that Octave's interpreter could be made to run a lot faster, particularly for loops and function calls. So far, I've concentrated on making it produce correct results with code that is reasonably easy to maintain.
I'm somewhat surprised by the difference in performance for the simple linear algebra functions. In this particular case, Octave is using standard Fortran LAPACK and BLAS routines, and I've done nothing to try to improve their performance.
BTW, while I was trying this, I found that Matlab would not accept
cputime - t
or
cputime() - t
so I was forced to write something like
cputime-t
or
(cputime) - t
Is this a bug?
Thanks,
jwe
-- In the beginning, Ken Thompson | Octave: http://www.che.wisc.edu/octave wrote the searching tool grep. | Me: http://www.che.wisc.edu/~jwe -- A. Hume, SP&E (1988) |
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