thanks, dirk. I just read your tutorial. great information for our needs. alas, the Amazon economics do not work well for us. the server that I am planning to purchase should cost around $800 and is the equivalent of the high-intensive CPU, which goes for $0.80/hour. that's about 2 months of amazon server time for the same price. if administering the hardware is very costly, then amazon is cost-effective. fortunately, we believe we can run the hardware easily ourselves.
I wonder how long it will take before debian will offer a GUI program that allow users like us to "rent out" a server for cash, and credit them via paypal. alas, maybe a special R cloud distribution (that has "everything R" already installed, too) could support the R project itself?! I would donate our free CPU time to the R project when the CPU is not otherwise used. probably some others would do the same, too. regards, /ivo On Mar 28, 2009 9:56am, Dirk Eddelbuettel <e...@debian.org> wrote: > On 28 March 2009 at 13:37, ivo...@gmail.com wrote: > | I need to speed up my monte-carlo simulations. my code is written in R > (and > | it was also the cause of my many questions here over the last few > days). my > [...] > | with $10/GB of DRAM, this is no longer a bottleneck. For my application, > | parallelism is a given, since most of it is monte-carlo simulations. (I > [...] > | My operating system will probably be ubuntu. (I also run a little of it > on > | an OSX Mac Pro I own.) > One thing you could consider is renting the compute hours from the cloud: > http://aws.amazon.com/ec2 > as EC2 now has a choice of Debian and Ubuntu (among others) and Debian / > Ubuntu have R and Open MPI work out of the box. Examples as in my 'Intro > to > High Performance Computing with R' tutorials from UseR and the BoC [ > google > for the pdf slides if interested ] should apply 'as is', you don't need to > fiddle with (physical) hardware and can scale up CPU resources as needed. > Dirk > -- > Three out of two people have difficulties with fractions. [[alternative HTML version deleted]] ______________________________________________ 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.