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? 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.
