similar to: rmpi/snow grabs all available CPU

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

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

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

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

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 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

Dear R-users, I am trying to make Snow and Rmpi working on an heterogenous cluster of linux computers. The master computer is built on a 64 bit architecture whereas all nodes are built on a 32 bit architecture. LAM/MPI was installed successfully on all machine. LAM boots correctly on the master computer and it recognizes all nodes defined in the lamhosts file. However, when starting R,

I would like to create a 3d scatterplot that is interactive in the sense that I can spin it on its axes to better visualize some PCA results I have. What are the options in R? I've looked at RGL and perhaps it will suffice but it wasn't apparent from the documentation I found. Any demo scripts available for a package that will work? Mark -- Mark W. Kimpel MD ** Neuroinformatics **

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

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

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

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

I see about 7 different R packages for multi-process parallel programming. Which do you think is the best, most complete, and most robust to pick for general purpose Erlang-style message-passing programming in R, and why? First here's my use case, and then my analysis so far. I often have code whose basic organization looks something like this: 1. Fetch step: For each date, gather up or

Hello everyone, I've been fiddling around with the snow and Rmpi packages on my new Intel Mac, and have run into a few problems. When I make a cluster on my machine, both slaves start up just fine, and everything works as expected. When I try to make a cluster including another networked machine it hangs. I've followed the suggestions at

Hi, I have difficulty in installing package "snow" from CRAN. Somehow, this package is not shown up in the available package list when I tried to use the GUI interface. So I have to go to CRAN to download the source file: snow_0.2-1.tar.gz. Then I tried to install it using the following command: > install.packages(repos=NULL, pkgs='C:\Documents and

Many thanks to Dr Yu for updating Rmpi for R 2.6.0, and for starting to make the changes to support Open MPI. I have just built the updated Debian package of Rmpi (i.e. r-cran-rmpi) under R 2.6.0 but I cannot convince myself yet whether it works or not. Simple tests work. E.g. on my Debian testing box, with Rmpi installed directly using Open Mpi 1.2.3-2 (from Debian) and using 'r' from

Full_Name: Jakob Stoeger Version: 2.7.0 OS: ubuntu 7.10 Submission from: (NULL) (137.248.74.38) Hi! I hope, it is justified to write this email... I'm relatively new to linux, and haven't worked with r, yet, so please pardon any things I do not know... I tried installing r on my computer, and didn't manage to get the program running. After having installed littler, typing r into

Hello, is there any function in the package snow to check for a really running cluster? The function checkCluster only checks the variable cl. And the variable is still available after stopping the cluster! ( a simple solution would be deleting the cluster variable cl in the function stopCluster) > library(snow) > cl <- makeCluster(5) 5 slaves are spawned successfully. 0

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()

Shouldn't -n be 4 in the bsub command? One master+3 slaves. This was required for snowfall, but I think doSNOW is similar. Hope it helps mario On 16-Dec-10 23:09, Marius Hofert wrote: > Dear expeRts, > > I try to get a minimal example for parallel computing via "foreach" + "doSNOW" to run on a computer cluster (Brutus from