Hi, your required performance is strongly depending on your application. If you talk about a cluster, you should think about several computers. Not only one computer with several processors.
If you have several computers. First of all you have to decide for a communication protocol for parallel computing: MPI, PVM, ... Then you have to install this at your computers. I think you should use MPI and one of its implementations: OpenMPI, LamMPI Then there are several R packages for using the communication protocols: Rmpi, snow, Rpvm, ... If you have one computer with severals processors, you can do the same thinks. But then you have only shared memory (bottleneck) and there is not to much improvement in performance. R is not yet implemented for multiple-processors. There is one first, experimental R package using openMP for multi threading: pnmath (http://www.stat.uiowa.edu/~luke/R/experimental/) Some useful links: http://www.stats.uwo.ca/faculty/yu/Rmpi/ http://ace.acadiau.ca/math/ACMMaC/Rmpi/ http://www.open-mpi.org/ http://www.personal.leeds.ac.uk/~bgy1mm/MPITutorial/MPIHome.html Best regards Markus [EMAIL PROTECTED] schrieb: > Dear all, > > I usually run R on my laptop with Windows XP Professional. > Now I really want to run R on a computer cluster (4 processors) with > Suse Linux Enterprise ver. 10. But I am new with computer cluster. > > > Should I modify my functions in order to use the greater > performance > and availability than that provided by my laptop? > > > Is there any R > manual on parallel computations on multiple-processor? > Any suggestion > on a basic tutorial on this topic? > > Thank you. > > ______________________________________________ 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.