similar to: snow's makeCluster hanging (using Rmpi)

Rmpi is not currently available on CRAN, and I don't think it has been for a few months. It is available at http://www.stats.uwo.ca/faculty/yu/Rmpi/ Does anyone know its current status? A few months ago I corresponded with the author, who noted some build problems (specifically on Debian) were the hang up, and seemed to be working on it. I wasn't able to get it to work then (on a

Hello, I've installed R on my RHEL3 cluster and I am trying to get Rmpi to work properly. R is installed using the following ./configure --prefix=/home/apps/R-2.2.0 I installed snow using R CMD INSTALL /home/apps/snow And finaly Rmpi R CMD INSTALL /home/apps/Rmpi --configure-args=--with-mpi=/path/to/lam There were no errors or warnings upon installation. However when i perform the test

Hello, I'm trying to determine the width of a plotting point (in inches) in the grid package. I naively thought I could create a pointsGrob with only one point and get the width (as tried below), but this results in an object with a size of 0inches (changing cex has no effect). Does anyone have a better approach? Of course, it would be dependent upon the graphics parameters and viewport...

Has anybody tried to use Rmpi with the OpenMPI library instead of LAM/MPI? LAM appears to be somewhat hardcoded in the Rmpi setup. Before I start to experiment with changing this, has anybody else tried Rmpi with non-LAM MPI implementations? Dirk -- Hell, there are no rules here - we're trying to accomplish something. -- Thomas A. Edison

Dear R Gurus: Is there a problem with Rmpi on x86 with SUSE 10.1, please? I've tried everything and it still won't load. Has anyone else dealt with this please? Thanks, Edna Bell

I'm having trouble with R CMD INSTALL Rmpi_0.5-5.tar.gz --configure-args=~/lam lam is is installed locally. lamboot -d (or lamboot-d and also recon) works. make -k check from the lamtest suite passes all tests. Is this is problem with the -fPIC compiler as in the message? Should it be modified in the Makefile? Any help or comments are appreciated, thanks. * Installing to library

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

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

I have a network of four machines set up. I'm having trouble spawning my slaves on these machines. All the examples I have found so far use makeCluster with type="MPI", and I guess I'm missing some kind of cluster configuration in my environment variables because all my clusters are formed on the machine where my initial session is running. Can anyone refer me to a link that

Hi Everybody, I know that R has snow package which can be used for Parallel Computing. However, every time I try making a cluster, the only type of cluster I'm able to make is the "SOCK" (that too because I disabled the firewalls). For the rest (i.e. MPI, NWS, and PVM), I get error every time I try making one. I get the following errors

Hi, I have few high-level questions about the Snow and Rmpi packages . I understand that Snow uses Rmpi as one of possible transport layers, yet my questions about user experience, not technical details: 1. Does Snow install and work well in Windows? 2. Interruptibility. I understand that currently it is impossible to interrupt a running top-level command in Snow ( Ctl-c or the likes), the

Hi, I need to understand when is it best to use /rmpi/ and when is it best to use /snow/ for parallel programming in R? I understand snow can be used for a group of non-clustered work stations also. But I wish to understand from the point of view of using both on clusters for a problem which has few chunks of straightforward data-parallelism interleaved with some communication. Since both are

The proper use of SPRNG is a little unclear to me in each of these packages, even more so when I put them all together. My immediate question: in snow I did clusterSetupSRNG. If a later want to (re) set the system to a known seed, how do I do it? That is, I want each distributed process to recreate exactly the same random numbers that it did before; I assume SPRNG assures the streams are

Dear R People: I am having some trouble with the snow package. It requires MPICH2 and Rmpi. Rmpi is fine. However, I downloaded the MPICH2 package, and installed. There is no mpicc, mpirun, etc. Does anyone have any suggestions, please? Thanks in advance! Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto:

Hi, I'm testing affyPara on Debian lenny with R 2.7 from unstable, and the corresponding bioconductor packages from bioconductor.org downloaded using biocLite as per usual. The command cl = makeMPIcluster(k) succeeds, but spawns k R slaves which promptly soak up all available CPU, which is odd since they are not doing anything yet. This looks like a bug to me. Similar behaviour is shown

Dear R-user, I am trying to use the function 'parLapply' from the 'snow' package which is supposed to work the same wys as 'lapply' but for a parallelized cluster of computers. The function I am trying to call in parallel is 'dudi.pca' (from the 'ade4' package) which performs principal component analyses. When I call this function on a list of

Dear R Users, I have set-up: - R 2.7.2 - rmpi using deinoMPI, and - snpw on two Windows XP machines. I would like to use the makeCluster(...,"MPI") command to create a cluster. Assume the machines are A and B. I would like the master to be on A and the nodes to be on B. How do I achieve this outcome ? I can see both machines using the DeinoMPI GUI. Thanks in advance, Tolga

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

After several trial and error attempts, I managed to install the Rmpi package without error on my Linux machine, running Fedora 5. I installed lam-7.1.2, lam-devel-7.1.2 and R-2.4.1, R-devel-2.4.1 The Package Rmpi_5.0-3.tar.gz, I installed once from within R and once from the command line to make sure, I link the right libraries: R CMD INSTALL Rmpi_5.0-3.tar.gz

I am running R 2.14.1 on a Windows XP (32 bit) system, and am trying to install the package 'Rmpi' to allow me to parallel process on all cores of a quad-core PC (and if that works well, I want to add extra slaves from a dual-core laptop). Rmpi appears to install OK (see below), but I am encountering the following error when I try and load the package: > utils:::menuInstallLocal()