similar to: How to utilise dual cores and multi-processors on WinXP

All, We are researching approaches to parallel R with the end goal of running R in a distributed manner on a Linux cluster. We expect of course to do some work decomposing our problems to be task-parallel or data-parallel, but wouldn't mind getting an initial boost working with "embarrassingly parallel" code sections and one of the approaches below. Incidentally our environment

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

OK, my journey to make lab machines automagically install & update all desirable R packages is nearing an end! The only question I have now is this: How can I control where the system prints the *.Rout file that is created automatically when the R batch program runs. In "man R" I don't find any information about it. When the cron job runs "R_installAll.sh" (see

Dear R users, I have access to a Sun cluster with multiple processors , a lot of RAM and with RedHat installed. I want to take advantage of its power for a R routine very time consuming. Whick package do I have to use? I know there are snow,snowFT and others package.Which is the best for my purpose? Do someone have experiences with this? Thanck in advance. Moreno

Dear R People: I was wondering if there were any packages for parallel programming in R. According to the R-help, at one time there was a package called SNOW. It doesn't seem to exist anymore. Any help would be much appreciated! Sincerely, Erin Hodgess mailto: hodgess@gator.uhd.edu [[alternative(swapped) HTML version deleted]]

Hello, I'd like to take a look at how the taskPR package performs on our computational cluster, and this morning I've spend some time trying to do a test install of this package on one of our linux machines. Unfortunately I've been unsuccessful in completing the install, and I wondered if someone could please advise me. As I've noted I working on a linux machine, and it's

I upgraded from Fedora Core 4 to Fedora Core 5 and I find a lot of previously installed packages won't run because shared libraries or other system things have changed "out from under" the installed R libraries. I do not know for sure if the R version now from Fedora-Extras (2.2.1) is exactly the same one I was using in FC4. I see problems in many packages. Example, Hmisc: unable

I've got another edition of my simulation replication framework. I'm attaching 2 R files and pasting in the readme. I would especially like to know if I'm doing anything that breaks .Random.seed or other things that R's parallel uses in the environment. In case you don't want to wrestle with attachments, the same files are online in our SVN

Dear Group, I am using DEAL package for modeling signal transduction nets. This process is deal slow on a SunFire server with 8 gigs ram. we have a grid that can process much faster that one individual server. However, to start the process in Grid, I have to give a command or submit a batch process. Is there any way, I can run R in bach process. I tried the following: R CMD |

Dear R-dev, I would like to accelerate my R computation by using parallel OpenMP compilers (e.g from Pathscale) on a 2-processor AMD server and I would like to know whether R is a tread safe library. The main kernel of the OpenMP parallelization is a C SEXP function that performs the computational routine in parallel with: ******************* SEXP example(SEXP list, SEXP expr, SEXP rho) {

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

Hi all, I'm trying to get the snow package with mpi working on my linux ubuntu 10.04 machine. When I tried to install it (see below) it already had problems with the dependencies. R version 2.14.0 (2011-10-31) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You

Hello I tried to load the taskPR-package in R, but it doesn't work at all. Everytime I try /library("taskPR")/, I get the error-message: Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library '/home/bw135690/R-2.4.1/library/taskPR/libs/taskPR.so': /home/bw135690/R-2.4.1/library/taskPR/libs/taskPR.so: cannot open shared object

Hi, does anybody know how to use the dual processors in the machines of a cluster? I am using R with rpvm and snow packages. I usually start pvm daemon and add host machines first, and then run R to start my computing work. But I find that only one processor in each machine is used in this way and the other one always stays idle. Is there any simple way to tell pvm to use the two processors at

Dear R-help, Please forgive me if any of the following sounds naieve/confused, i've just got back from a mini-pub-crawl, slightly tipsy, and am feeling brave to ask a possibly silly question... also, not to shiny on the technical side of things. Problem - I need to text mine a collection of 10,000 plain text documents, all of which are sitting in a single folder. i don't have any money

Hi I have a few problems installing/updating packages with complicated dependencies. For example, the Rmpi package: update.packages(...) checking for mpi.h... no configure: error: "Cannot find mpi.h header file" ERROR: configuration failed for package ?Rmpi? So I tried: >install.packages("Rmpi",configure.args="--with-mpi=/usr/lib/openmpi") Trying to find

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

I need to rewrite a software in R, that runs on a cluster. I thought Rmpi will be good for me but I can't find any help other than the Rmpi-manual that actually only describe the functions in the Rmpi package. Can someone point me to some usefull guide? For example, I would like to run a for-statement on several processors (a subset of the statement on each processor) but I can't figure

Parallel programming with snowFT Our package snowFT is now available at CRAN. It is an extention of the package snow, which adds fault tolerance (in the sense of recomputing computational units when hardware/network failures occur on compute nodes) and a tighter notion of reproducibility for computations running on clusters. It additionally provides tools for flexible management of cluster size

Parallel programming with snowFT Our package snowFT is now available at CRAN. It is an extention of the package snow, which adds fault tolerance (in the sense of recomputing computational units when hardware/network failures occur on compute nodes) and a tighter notion of reproducibility for computations running on clusters. It additionally provides tools for flexible management of cluster size