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Re: Speed of Ocave vs Matlab?

From: Alexander Barth
Subject: Re: Speed of Ocave vs Matlab?
Date: Tue, 8 Sep 2015 17:12:30 +0200

Dear Carlo,

Unfortunately I do not have octave 4 on this machine. For octave 3.8.1 the numbers were very similar to octave 3.6.4 (and even better for 3.8.1)

size  octave 3.6.4  octave 3.8.1 
100   0.415             0.2507   
200   1.808             1.2061   
300   5.155             3.7093   
400   8.104             6.5474   
500   13.905           11.7405   
600   24.906           23.7764   

(run-time in seconds, median of 10 realization)

On Tue, Sep 8, 2015 at 11:43 AM, Carlo De Falco <address@hidden> wrote:
On 8 Sep 2015, at 10:01, Alexander Barth <address@hidden> wrote:

> On Mon, Sep 7, 2015 at 11:14 PM, Michael Barnes <address@hidden> wrote:
> I just got asked this question at a computer vision conference. Does anyone have any benchmark examples I can quote?
> It strongly depends on the type of benchmark. In my tests, octave turned out the be faster than Matlab:
> http://www.geosci-model-dev.net/7/225/2014/gmd-7-225-2014.pdf
> (table 4 on page 9, open access journal under creative commons).
> The code needs to solve a sparse system defined by a partial differential equation. Large-parts of the code are vectorized and the only loops are essentially the number of dimensions (which is typically 2 or 3).
> I was actually surprised by this results and I did not perform any optimization specific to octave. I only vectorized the code which is beneficial for octave and Matlab.
> In the above mentioned paper, you will however also find some references where Matlab was faster than Octave.
> The conclusion for me is: if performance is important, you need to vectorize the code as much as possible. This is not only necessary for octave but also for Matlab. If this is not possible, then I use a compiled language like Fortran.
> I hope this helps,
> Alex


I guess you still have all the scripts to run these tests again?
I would be curiuos to see what is the comparison between Octave 3.6.4 and 4.x,
as a few users reported significant slowdown in some aplications.


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