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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

...implementation. Also, some aspects sound similar to the [21]data flow variables in [22]Van Roy's [23]CTM and [24]Mozart/Oz. References 1. http://www.stats.uwo.ca/faculty/yu/Rmpi/ 2. http://cran.us.r-project.org/src/contrib/Descriptions/Rmpi.html 3. http://ace.acadiau.ca/math/ACMMaC/Rmpi/ 4. http://www.analytics.washington.edu/statcomp/projects/rhpc/rpvm/ 5. http://cran.us.r-project.org/src/contrib/Descriptions/rpvm.html 6. http://www.stat.uiowa.edu/~luke/R/cluster/cluster.html 7. http://cran.us.r-project.org/src/contrib/Descriptions/snow.html 8. http://ace...

I am running R 2.7.0 on a Suse 9.1 linux cluster with a job scheduler dispatching jobs and openmpi-1.0.1. I have tried running one of the examples at http://ace.acadiau.ca/math/ACMMaC/Rmpi/examples.html in Rmpi and they seem to be working, except mpi.close.Rslaves() hangs. The slaves are closed, but the master doesn't finish its script. Below is the example script and the call to R. The job is being run on a single 4 processor machine. Any suggestions? Also is Rmpi using...

...rmilab.ch/documents/specrend/specrend.c I could probably port it in R, but I've been hoping to use compiled code for a while and this looks like a good test case. Unfortunately, the only success I've had so far is with the too simple factorial(int *n) function, http://math.acadiau.ca/ACMMaC/howtos/C_R.html Here, however, the code has several functions, some of which use structures as input variables and return several values. I've created a shared library with, > R CMD SHLIB specrend.c and then ran, dyn.load('specrend.so') > .C('spectrum_to_xyz', spe...

I am currently work on a research project which requires parallel technique. I have successfully adapted an Rmpi code from the following website. http://math.acadiau.ca/ACMMaC/Rmpi/task_pull.R and be able to run my own code now. However, since I am developing my own code which involves many calculations, each time I had an error with my Rmpi code, I got an error message like the following: Error in inherits(x, "data.frame") : object 'mean_chain&...

Hi, I had access to an hpc cluster, and wanted to parallelize some of my R code. I looked at the snow,nws, rscalapack documentation but was unable to make out how I should submit my job to the hpc, and how I should code a simple program. For example, if I had 10 matrices, and 10 processor how should I write the R (and the hpc submit code) so that I run the calculations (e.g. rowsums) for each

Dear all, I have a large dataset of randomly generated weighed sample for which I wish to compute a kernel density estimate. I have used the "np" package successfully for smaller datasets, however for the larger ones, they take too long when using the cross validation options for bandwidth selection ("cv.ls" or "cv.ml"). Of course, they are much quicker with

Hi All, I'm trying to parallelize some code using Rmpi and I've started with a sample 'hello world' program that's available at http://math.acadiau.ca/ACMMaC/Rmpi/sample.html. The code is as follows; # Load the R MPI package if it is not already loaded. if (!is.loaded("mpi_initialize")) { library("Rmpi") } # Spawn as many slaves as possible mpi.spawn.Rslaves(nslaves=3) # In case R exits unexpectedly, have it automatically clean up...

Hello, which possibilities are available in R for simultaneous or parallel computing? I only could find biopara (http://cran.r-project.org/src/contrib/Descriptions/biopara.html) Are there other possibilities? Are there special groups working on simultaneous computing with R? Thanks Markus -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universit?t M?nchen IBE - Institut f?r

I'm invoking R from withing a shell script like this R --no-save --no-restore --gui=none > `hostname` 2>&1 <<BYE # various commands here BYE I would like to regain control from the invoking terminal at some point. I tried source(stdin()) but got a syntax error, presumably stdin is the little shell here snippet (the part between <<BYE and BYE). Is there some way to