similar to: Snow or alternative MPI packages on Windows

Guys, I'm having troubles with Rmpi on Linux. I got it to work on windows, but on Linux (SuSE 64 bit), using OpenMPI, I can't seem to get it to work :( When I do library(Rmpi) I get the warning: mca: base: component_find: unable to open osc pt2pt: file not found (ignored) Interestingly enough all the examples from the snow tutorial ( http://www.sfu.ca/~sblay/R/snow.html) work despite

Guys, Is anyone using snowfall? It seems that the last version is broken. sfinit contains test code: data("config", package = "snowfall") configM <- as.matrix(t(config)) config <- as.list(configM) names(config) <- dimnames(configM)[[2]] .sfOption$SERVER <<- as.character(config[["SERVER"]]) .sfOption$PORT <<-

I am trying to install SrcStatConnectorSrv(2) and rcom from local zip files. I have successfully downloaded both files (from CRAN for rcom CRAN Other for SrcStatConnectorSrv) and installed rcom. However, I get the following error message when I try to install SrcStatConnectorSrv (the version dated 21-Aug-2006: > utils:::menuInstallLocal() Error in gzfile(file, "r") : unable to open

Dear R Users, I am attempting to use snow with rmpi. My configuration is: - R Version 2.7.2, rmpi - RMPI 0.5-6 - DeinoMPI 1.1.0 - Windows Xp SP2 I can sucessfully create a cluster and execute simple commands but for some reason, I cannot change the working directory in my nodes. > noclusters<-2 > cl <- makeCluster(noclusters, type = "MPI") 2 slaves are spawned

A new version of the 'snow' package for parallel computing in R is available at http://www.stat.uiowa.edu/~luke/R/cluster/snow_0.3-3.tar.gz This substantially revises the way in which worker processes are started to allow snow to be used on Windows and Mac/Windows/Linux combinations. I have successfully used the SOCK version on a standalone Windows machine and combinations of

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 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

I get the following error message followed by instability in R after the error message: Error: Cannot pop the top-level viewport (grid and graphics output mixed?) Have reduced something much more complex in my code to a simple test case. I run the following and then resize the window: X = seq (1,10) Y = X^2 opar <- par(no.readonly=TRUE, mar = c(2.5, 3.1, 1, 2)) grid.newpage()

Guys, I'm running LAM 7.1.4 and R/Rmpi on a SuSE 9.3 box. When I do >library(Rmpi) The whole thing crashes with the following message: ----------------------------------------------------------------------------- No SSI RPI modules said that they were available to run. This should only happen if you request an MPI thread level that is too high (for example, none of the SSI RPI modules

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

Anyone using or has access to ParallelR? I was looking at the page and found nothing really useful! http://www.revolution-computing.com/sitegenius/topic.php?id=195 I want to see if I can run R on a cluster of workstation, and use batch systems like Grid Engine or Xgrid: http://gridengine.sunsource.net/ http://ww.apple.com/acg/xgrid/ --Chi

Hi, I am looking at upgrading our existing Samba installs to 2.2.8 Some of the installations contain the parameter "shared mem size" in the smb.conf file. This parameter does not appear to be available in ver 2.2.8. Is there an alternative parameter or is this now defunct? Regards Jim Burns HSBC Group The HSBC Group's website is at http://www.hsbc.com

Hello, I plan to use R with my cluster with OpenMPI. I need the packaged 'snow' and 'Rmpi' for that, however, I get an error while downloading and installing them: When I do a: install.packages("Rmpi", dependencies=T) I get this error: checking for mpi.h... no Try to find libmpi.so or libmpich.a checking for main in -lmpi... no libmpi not found.

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

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: ")

Dear R-users, we are using library(snow) for computation on a linux cluster with RMPI. We have a problem with clusterEvalQ: after launching clusterEvalQ it seems loading the required library on each node but if we type a function belonging to the loaded package R doesn't find it. > library(snow) # making cluster with 3 nodes > cl <- makeCluster(3, type = "MPI") Loading

Dear all, in the package its the print() method does not seem to correctly work in all circumstances: > selectMethod(print, "its") Method Definition: function (x, ...) { print(x@.Data <mailto:x@.Data> , ...) } <environment: namespace:its> Signatures: x target "its" defined "its" > fundPME.lst[[1]]$irr An object of

Hi guys, I've spent a few days trying to install Rmpi with no luck. I originally tried using mpich, moved on to mpich2, and then to openmpi. I've gotten the furthest with openmpi, though am still running into this problem and can't figure it out. Can someone help!? Thanks so much in advanced. I'm using an HP Envy laptop with Ubuntu 12.04. Output is below, with the error at the

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: >