I have a large set of data to process [40000x50] values. I use Matlab on my laptop but it takes a very long time. Recently I had an access to an HPC station with theoretically I can process parallel computing. So how can I do that? I think I can't use Matlab without a proper toolbox for "Cloud computing" so I tried Scilab and octave but things were very complicated to me. My main objectives are: - Processing the data and Optimizing a model. so my questions are: - Do I have to work on Linux to perform parallel computing? (I use windows) - How to perform parallel computing using a free software like Scilab or Octave ( I am a little bit familiar with Scilab). Best regards.
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Scilab provides several ways for parallel computing. A good starting point is the parallel computing wiki..
A simple example using parallel_run:
function [r_min, r_med, r_max]=min_med_max(a, b, c)
r_min=min(a,b,c); r_med=median([a,b,c]); r_max=max(a,b,c);
endfunction
N=10;
A=rand(1:N);B=rand(1:N);C=rand(1:N);
[Min,Med,Max]=parallel_run(A,B,C,"min_med_max");
Note however that this does not multi process on Windows.
spoorcc
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Yes, a did write a code using "parallel_run" but how can I connect Scilab with the HPC station ? – Don don Jan 28 '17 at 11:02
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You could installatie scilab on it and perform any script through cli using `scilab-adv-cli -f my_parallel_script.sci -nb` – spoorcc Jan 28 '17 at 11:10
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`parallel_run` is no more available in Scilab since version 6. – Stéphane Mottelet Apr 01 '19 at 12:29