similar to: R-help Digest, Vol 67, Issue 31

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 I am trying to utilize my dual core processor (and later a High-performance clusters (HPC) ) by using the Rmpi, snow, snowfall, ... packages, but I am struggling at the beginning, i.e. to initialise the "cluster" on my dual core computer. Whenever I try to initialize it (via sfInit(parallel=TRUE, cpus=2) or mpi.spawn.Rslaves(nslaves=2) ), I get an error message: >

Hi everybody! I have the next code which makes a reduction of the *a *variable in two slaves, using the Rmpi package. library(Rmpi) mpi.spawn.Rslaves(nslaves=2) reduc<-function(){ a<-mpi.comm.rank()+2 mpi.reduce(a,type=2, op="prod") return(paste("a=",a)) } mpi.bcast.Robj2slave(reduc) mpi.remote.exec(reduc()) cat("Product: ")

Hi everybody! I have the next code which makes a reduction of the *a *variable in two slaves, using the Rmpi package. library(Rmpi) mpi.spawn.Rslaves(nslaves=2) reduc<-function(){ a<-mpi.comm.rank()+2 mpi.reduce(a,type=2, op="prod") return(paste("a=",a)) } mpi.bcast.Robj2slave(reduc) mpi.remote.exec(reduc()) cat("Product: ")

This is a rather obscure question, I realize. I have written to the package author but have not heard back as of yet. I have read the README in the package, as well, but it didn't give me enough detail to diagnose the problems that I am having. (I did edit out the LAM-MPI check in zzz.R.in.) I am working to install Rmpi on top of MPICH on a beowulf cluster. Below is the output of the

Hi, I am using a cluster with LAM 7.1.3/MPI 2 and R 2.6.0. Rmpi version 0.5-5 is working very well. Now I have tested "Rmpi 0.5-6". During spawning the Rslaves I get an error: MPI_Error_string: error spawning process > sessionInfo() R version 2.6.0 (2007-10-03) x86_64-unknown-linux-gnu locale:

Hello, the package snow is not working on a windows cluster with MPICH2 and Rmpi. There is an error in makeCluster: launch failed: CreateProcess(/usr/bin/env "RPROG="C:\Programme\R\R-2.5.1\bin\R" "OUT=/dev/null" "R_LIBS=" C:/Programme/R/R-2.5.1/library/snow/RMPInode.sh) on 'cl1' failed, error 3 - Das System kann den angegbenen Pfad nicht finden. I

I have just installed Rmpi on a Suse 9.1 linux cluster with openmpi-1.0.1. I am trying the example included below from the tutorial website. However, I keep getting the following error: > # Load the R MPI package if it is not already loaded. > if (!is.loaded("mpi_initialize")) { + library("Rmpi") + } > > # Spawn as many slaves as possible >

Dear R list, In the course of learning to work with Rmpi, we are confused about a few points. The following simple program is based on some examples we retrieved from the web. Each slave is writing the same output line multiple times (a multiple equal to the number of slaves). In other words, the write statements are being executed a number of times equal to the number of slaves. I am

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

R-users, My question is related to earlier posts about benefits of quadcore over dualcore computers; I am trying to setup a cluster of windows xp computers so that eventually I could make use of 10-20 cpu:s, but for learning how to do this, I am playing around with two laptops. I thought that the package snow would come handy in this situation, but to use snow, I would probably need to install

Hi all, now I'm testing R in a "virtual cluster", made it with VirtualBox. This one has 3 nodes, running CentOS 5 and OpenMPI 1.2.8, and the principal node (called "server") exports the /home to other nodes. I have installed R and OpenMPI in /home, in fact, it seems work OK. Editing the openmpi-default-hostfile and run "mpirun -np 3 hostname" I can see the

Dear R yet again! I finally got the Rmpi package to install! Yay!. However, when I go into R to use it, there is an error with the dyn.load file. This should be simple (allegedly). Please help. Thanks, Sincerely, Erin mailto: hodgess at gator.uhd.edu /home/faculty/hodgess/R-2.6.0/bin [hodgess at gator bin]$ ./R CMD INSTALL Rmpi_0.5-4.tar.gz

Dear all, I have used the Rmpi package many times before however this time I've installed it as I always do with openMPI tar.gz file direct from the website. I'm installing on my ubuntu 8.10. Linux 2.6.27-11-generic #1 SMP Thu Jan 29 19:28:32 UTC 2009 x86_64 GNU/Linux All i get is: > library(Rmpi) Segmentation fault :~$ Which dumps me back into the shell, and doens't give me much

I'm aiming to compare the workings of Rmpi and multicore on a duel processor quad core machine with 64 bit R-2.11.1 Kubuntu 10.4. It's impossible for me to get a small reproducable code segment to show what I mean, but if I show what works for mclapply, I'd hope it's possible to be shown what would be the equivalent way with mpi.apply. The function lr.gbm has variables trees,

Hi, I'm testing the efficiency of the Rmpi package regarding parallelization using a cluster. I've found and tried the task pull programming method, but even if it is described as the best method, it seems to cause deadlock, anyone could help me in using this method? here is the code I've found and tried: # Initialize MPI library("Rmpi") # Notice we just say "give us

Hello, I'm using R on a 10 blade dual quad core Rocks Cluster, and trying to use Rpmi and snow. I basically wondered if at the moment I ought to install Rmpi against another form of mpi (not openmpi) and wondered whether anyone could pass on any experience. I'm mainly worried about (a) the R server taking up 100% cpu time (I think this is a known issue with Rmpi and openmpi) and (b)

Hello, I try to write parts of my code in C to accelerate the for-loops. But basic operations I want to do in R (e.g. start cluster). My R code looks something like this: library(Rmpi) mpi.spawn.Rslaves() mpi.remote.exec(....) dyn.load("test.so") erg <- .Call("test", ....) .... mpi.close.Rslaves() mpi.quit() And my C function looks something like this: #include

Hello everybody, I am trying to install Rmpi on 64-bit HP-Proliant server. I am facing the following error: * Installing *source* package 'Rmpi' ... Try to find mpi.h ... Found in /usr/local/mpich-1.2.7p1/include Try to find libmpi or libmpich ... Found libmpich in /usr/local/mpich-1.2.7p1/lib Try to find liblam ... checking for main in -llam... no liblam not found. Probably not LAM-MPI

Hi, I try use Rmpi package to my compute. In my work I'm using eclipse version 3.6.2 and statEt version 0.10.0 (launch Rterm or RJ). Actually I observed strange behavior, when I try loading Rmpi directly I don't have any problem i.e.: library("Rmpi") mpi.spawn.Rslaves() 8 slaves are spawned successfully. 0 failed. master (rank 0, comm 1) of size 9 is running on: marcin-HP