similar to: Looking for suggestions on how to debug pvm/snow proc's

Hello R enthusiasts, I am working with a Fedora Core 6 OS and R 2.5. I have just finished loading PVM on my test cluster and this is working properly. Also, rpvm has been loaded in R. However, when I try to load my test program, I receive this error: Loading required package: rpvm Error in dyn.load(x, as.logical(local), as.logical(now)) ; unable to load shared library

Dear Friends, I'm trying to learn to use parallel computation using snow & rpvm Now, I have two boxes: 1) Pentium 4, pvm 3.4.5, R 2.2.0 with FreeBSD 5.4 (box uffbsd); 2) PowerPC, pvm 3.4.5, R 2.1.1 with Debian Linux latest stable (box powerpclinux); I'm using the instructions in (found in snow.pdf) http://www.stat.uiowa. edu/~luke/R/cluster/cluster.html. Now ** from the box

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

Hi Guys, I would like to share my experience when installing the Spatial views packages for R. I could not install 32 packages which are parts of the Spatial views, and I use google-search and search to solve ALL those problems for about 2 days. I hope maybe somebody would benefit from my experience. I admitted that I do not have excellent programming skills at all. So, perhaps some of

Caveat: I've only played with this a couple of years ago... I believe you can just add each host _twice_ (or as many times as the number of CPUs at that host) to get both CPUs to work. Andy From: Paul Y. Peng > > 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

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

I tried ot build rpvm in my own makefile. But runs into some linker errors like e.g. undefined reference to `_R_alloc' My enviornment looks like this: CYGWIN pvm 3.4 compiled under cygwin myself R installed from the rw2001.exe setup file. I guess that the R under rw2001.exe was build with some other compiler? I then tried to compile R myself under CYGWIN but runs into the following

I've trying to fix the check error in rpvm package. Right now on my Mac, I use darwinport to install PVM and I can get rpvm to pass the check using 'R -arch x86_64 CMD check'. However the default 'R CMD check' uses i386 which fails since PVM is built for x86_64 only. So is there a way to ensure proper architecture is used that matches that of the external library like PVM?

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

At office, using the internal LAN at my disposal, I'm having a go at parallel computing - to begin with - with pvm, rpvm & snow. The two boxes are as follows Remote machine uffbsd: CPU: Intel(R) Pentium(R) 4 CPU 2.00GHz (1994.13-MHz 686-class CPU) Origin = "GenuineIntel" Id = 0xf24 Stepping = 4 real memory = 260046848 (248 MB) This machine NbBSD: CPU: Mobile Intel(R)

The package `snow' (Simple Network of Workstations), originally announced in early form about a year ago on this list, is now available from CRAN. Snow implements a simple mechanism for using a workstation cluster for ``embarrassingly parallel'' computations in R. The interface, which is based in part on the Python CoW (Cluster of Workstations; http://www.scipy.org/) package, is

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

Dear R-devel, Inspired by Michael Li's talk at JSM, I decided to try rpvm and snow on our two linux boxes. It only took me a couple of hours of screwing around to get it working (sooner if I had RTFM). Our setup is: 2 dual PIII-866 Xeons, one with 2GB RDRAM, the other with 1.28GB RDRAM. The first machine is acting as the NIS/NFS server. both /usr and /home are exported to the second

Hello, I have a question that I was wondering if anyone had a fairly straightforward answer to: what is the quickest and easiest way to take advantage of the extra cores / processors that are now commonplace on modern machines? And how do I do that in Windows? I realise that this is a complex question that is not answered easily, so let me refine it some more. The type of scripts that I'm

Dear R Users, Is there a version of rpvm available for windows ? I have recently had some problems with snow using SOCKS and was considering PVM as an alternative. Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of

Hi list, I recently installed the Trixbox distribution as an HVM and have now converted it to a PVM. Found very few resources on Internet where people had done this conversion so I had very little to compare with. Wanted to ask for comments about the kernel used in the PVM after the conversion. Installing Trixbox and later installing the xenified kernel, gives a kernel of 2.6.18-92..... In my

Thanks you all guys. I am able to create the RHEL5 PVM on RHEL5 host successfully. Only thing that i need to add is /mnt/etc/fstab in inintrd command and preload to both the fronthend drivers. As blow. # mount /home/disk /mnt # mkinirtd /boot//boot/initrd-2.6.18-8.el5xenU.img 2.6.18-8.el5xen --fstab /mnt/ etc/fstab --with xenblk --with xennet --preload xenblk --preload xennet Thanks a lot,

I am trying to install the rpvm package doing this: C:\R\rw2000\bin>rcmd install rpvm_0.6-2.tar.gz '.' is not recognized as an internal or external command, operable program or batch file. '.' is not recognized as an internal or external command, operable program or batch file. make: *** /rpvm: No such file or directory. Stop. make: *** [pkg-rpvm] Error 2 *** Installation of

(My apologies if this is the wrong list or if this question has been asked before. I’ve done quite a bit of searching and can’t find an answer) I am working on a heavily modified version of CentOS with a user-land that mostly matches 5.4 and a kernel based on 6.2. I''ve found tutorials on how to create a CentOS PVM (such as http://wiki.centos.org/HowTos/Xen/InstallingCentOSDomU) but I