similar to: Rmpi; sample code not running, the slaves won't execute commands

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

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 >

Hi I have managed to install MPICH2 and Rmpi on my Windows 7 machine. I can also run the following code > library(Rmpi) > mpi.spawn.Rslaves() 4 slaves are spawned successfully. 0 failed. master (rank 0, comm 1) of size 5 is running on: MyMaster slave1 (rank 1, comm 1) of size 5 is running on: MyMaster slave2 (rank 2, comm 1) of size 5 is running on: MyMaster slave3

Hi I have managed to install MPICH2 and Rmpi on my Windows 7 machine. I can also run the following code > library(Rmpi) > mpi.spawn.Rslaves() 4 slaves are spawned successfully. 0 failed. master (rank 0, comm 1) of size 5 is running on: MyMaster slave1 (rank 1, comm 1) of size 5 is running on: MyMaster slave2 (rank 2, comm 1) of size 5 is running on: MyMaster slave3 (rank 3, comm

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

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

Dear R People: I'm having some trouble with mpiexec and Rmpi. I would like to be able to pass in the number of "children" via the mpiexec command (from the command line). this is in SUSE10.1, with R-2.7.1 Here are my files: cat eb.R library(Rmpi) mpi.remote.exec(paste("i am",mpi.comm.rank(),"of",mpi.comm.size())) mpi.quit() hodgesse at

Dear R Users, I have a relatively simple rmpi question. My configation is: - R version 2.7.2 - rmpi 0.5-6 - Deino MPI 1.1.0 - Windows XP SP2 After succesfully spawning slaves, I am trying to assign values to variables in the environment of each slave and run some simple calcs. This appears to fail, as below: my assignment of value "1" to variable "a" appears to come back

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

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: ")

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:

??I installed Microsoft MPI. Then installed the foreach and Rmpi packages. Then built doMPI from source. mpi.remote.exec works. foreach hangs with the main process and all worker processes idle. I launch my script with mpiexec: "C:\Program Files\Microsoft MPI\Bin\mpiexec" -n 3 "C:\Program Files\R\R-3.2.0\bin\x64\Rterm.exe" --no-save -q -f "MPI Test.r" The

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 R users and developers, I would like to install Rmpi so that I may take advantage of all of the CPUs in my computer, but I cannot get it to install and I am not very good with linux so it is adding to the headache. I have looked through the help archive, but I have not been successful at getting Rmpi to work. I am not sure if I am even installing openMPI correctly in linux. I would really

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)

Trying to understand how puppet reports errors Example of why I am asking the question (on a test setup environment) Created a base-1 node Created 2 slave nodes that inherit from base-1 Let''s call those slave1 and slave2 No errors. It all works. Created a base-2 node created a third slave that inherits from base-2. Let''s call that slave3 Get an error Could not retrieve

I'm just curious if anyone else has had problems with this configuration. I added the CRAN repository to apt and installed 2.5.0 with apt-get. I then did an install.packages("Rmpi") on cluster nodes. Rmpi loads and lamhosts() shows the nodes, but mpi.spawn.Rslaves() fails (something to do with temp files?). Rmpi works fine with the Edgy-native version of R (2.3.x) and installing

I just installed Rmpi on my 64-bit Ubuntu Hardy Heron OS and using the following without errors: "R CMD INSTALL Rmpi_0.5-5.tar.gz --configure-args=--with-mpi=/usr/lib64/openmpi" Immediately at library(Rmpi) I get the segfault displayed in my complete output below. My first thought is that perhaps I used the wrong library for openmpi, but with my 64 bit install it seemed like a logical

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