[Scilab-users] ?= Re: ?= =?utf-8?q? parallel_run

[stephane.mottelet at utc.fr]

  Hello Antoine,

Before judging that some code is just a "dirty hack" you should first  
get into the code and see hows things are written. The implementation  
in 5.5.2 was using OpenMP so I don't see anything dirty here. The  
implementation was unstable under OSX and Linux, and under Windows  
parallel_run was just making calls sequentially. So no "dirty hack"  
under Windows but just a shortcut. Octave does also the same with  
Matlatb's parfor : it just does things sequentially. However, even  
unstable, parallel_run was very useful (I used it a lot under Linux to  
do some Monte Carlo estimation on a 40 processor machine). It is a  
pity that it's re-engineering for 6.0 familiy was not a priority. 

S. 

Quoting Antoine Monmayrant <amonmayr at laas.fr>:

> Hello,
>
> Are you using Windows or anything else?
> Because as far as I remember, parallel_run is just a dirty hack that  
> only works under windows.
> On my linux install of scilab 6.0.2, I also have:
> --> parallel_run
>
> Undefined variable: parallel_run
>
> So it might be a bug in the documentation that should mention  
> "windows only" like some other functions.
>
> Antoine
>
> Le Lundi, Septembre 23, 2019 15:46 CEST, fujimoto2005  
> <fujimoto2005 at gmail.com> a écrit:
>
>> I wanted to use "parallel_run" and tried the sample script in the help page.
>> But it did not work with the error message "undefined
>> variable:parallel_run".
>> Please teach me what is wrong?
>>
>> The sample script I used is as follows
>> ******
>> for i = 1:10
>>   res(i) = i*i;
>> end;
>> // for parallel_run, we need to have a function performing the computation
>> function a=g(arg1)
>>   a=arg1*arg1
>> endfunction
>>
>> res = parallel_run(1:10, g);
>> // => res = [1  4  9  16  25  36  49  64  81  100];
>> *********
>>
>> --
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