On Fri, Sep 14, 2012 at 6:00 PM, Bazman76 <h_a_patie...@hotmail.com> wrote: > Hi there, > > I have a largish optimisation problem (10 years of daily observations). > > I want to optimise between 4 and 6 parameters. > > I'd like to utilise parallel computing if I can as I will have to run it > with different starting values etc. > > I have a quad core PC with 16GB ram running windows 7. > > Having done a little reading it seems the two best options for me are: > > 1.) Use the academic version of REvolution R enterprise which will let me > run the code in parallel on my own PC. > > 2.) Or install Unubtu and use Segue and Amazon EC2 (or some equivalent). > > Just to get an idea how much faster is option 2 liable to be (given that its > slightly more difficult to set up). > > Is it realistic to have a dual boot on my PC?
"Regular" R allows for parallel computation also on all supported platforms (including Windows)... look at the included 'parallel' package. Some optimizers (DEoptim perhaps?) will have auto-parallelization available as well. Cheers, Michael > > Thanks > > Baz > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Parallel-R-tp4643175.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
