[scilab-Users] Parallel computation - grid creation
Constellation Athome
constellationathome at googlemail.com
Sun Dec 12 14:02:54 CET 2010
Hi Sylvestre,
please define "play with"! This wording gives me goosebumps! :D
Andreas
2010/12/10 Sylvestre Ledru <sylvestre.ledru at scilab.org>
> I am interested :)
> Please let me know when you have something I could play with!
>
> Sylvestre
>
> Le vendredi 10 décembre 2010 à 17:54 +0100, Constellation Athome a
> écrit :
> > Hi,
> >
> > okay, it's not an official solution (yet), but we're working on an
> > implementation of Scilab as a BOINC app for our aerospace platform
> > Constellation. We allready did our first tests and it looks promising.
> > And with the release of Scilab 5.3.0 (stable) and it's minimum
> > installation mode, we will do public tests for our subprojects that
> > will use Scilab.
> >
> > BOINC is a server/client system for distributed computing
> > http://en.wikipedia.org/wiki/Boinc but perhaps that's not what you are
> > looking for.
> > IF you decide to take this route, feel free to contact me. Perhaps I
> > can help.
> >
> > Andreas
> > --
> > AerospaceResearch.net/Constellation
> > Dipl.-Ing. (FH) Andreas Hornig
> > König-Karl-Straße 27
> > 70372 Stuttgart / Germany
> > Email: constellation at aerospaceresearch.net
> >
> > 2010/12/9 Pedro Ledoux <p_ledoux at yahoo.com.br>
> > Hello. About paralelization why use a interpreted language
> > like Scilab? Are there some advantages? To numerical optimized
> > algorithms I prefer use a compiled language one, to numerical
> > application my favourite is Fortran. For such applications a
> > compiled code run much more faster than an interpreted one
> > like Matlab and Scilab. If you want to run this aplication
> > paralely probably it is too optimised and full of iterations.
> >
> > In a algorithm to the method FDTD to eletromagnetism use an
> > interpreted language is inviable if you want more than dozens
> > of thousands of iterations. Codes written in Fortran are easy
> > to paralelise using an API called OpenMP.
> >
> >
> >
> > ______________________________________________________________
> > De: Mathieu Dubois <mathieu.dubois at limsi.fr>
> > Para: users at lists.scilab.org
> > Enviadas: Quinta-feira, 9 de Dezembro de 2010 9:46:22
> > Assunto: Re: [scilab-Users] Parallel computation - grid
> > creation
> >
> >
> > Hello,
> >
> > I once set up small cluster in my lab. I found 2 "cluster"
> > distributions that may help you.
> >
> > I know that OSCAR (http://oscar.openclustergroup.org/)
> > automatically ste up PVM. Nevertheless the project seems to
> > have difficulties to deliver a stable version for the 6
> > branch.
> >
> > You may also have look at ROCKS
> > (http://www.rocksclusters.org/wordpress/) which seems more
> > dynamic (but I don't know of it has PVM included).
> >
> > I have never used PVM with scilab so I can't help you with
> > this. I know that there is a compile time option to enable it.
> > Maybe the default version has PVM...
> >
> > Mathieu
> >
> > On 12/08/2010 01:42 PM, sebastien salmon wrote:
> > > Hello,
> > >
> > > I'm curently working on some metaheuristic optimization
> > problems using Scilab and external programs such as Dymola for
> > exemple.
> > > Those optimizations require a lot of computation witch could
> > be parallelized.
> > > I plan to set up a grid through the lab (up to 50 computers
> > under windows (xp-vista-seven) or linux (fedora - debian -
> > ubuntu)) and I'm loocking for some exemple of the install and
> > use of pwm under Scilab.
> > >
> > > Thanks for your help,
> > > S.Salmon
> >
> >
> >
> >
> >
>
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.scilab.org/pipermail/users/attachments/20101212/1c64f357/attachment.htm>
More information about the users
mailing list