similar to: [Fwd: Re: Multithreading]

Hi folks, is it possible to read more things about R behavior in multiprocessor / multihost environment ? Is there any distributed computation project associated to it ? Laurent

Thanks to Luke Tierney, Agustin Lobo, Stephen Eglen, A.J. Rossini, Simon Wood and Timothy H. Keitt for responding to my question about poor man's parallel processing. Much of the substantive material was cc'ed to r-help already, but my take is as follows. 1) Currently, there is nothing "simple" for solving my problem. 2) I thought that Timothy Keitt's description of the use

Hi all !!! I have got a MOSIX-Cluster and wanted to upgrade to ext3-fs, but that didn't work out. The ext3-fs patch FAILED to patch the MOSIX-kernel and if I tried to apply the ext3- patch before, the MOSIX-patch failed. Can someone help me with that ? Perhaps someone knows of a conclusion for that problem or can tell me where to get a MOSIX-patch for 2.4.15. I would be glad to hear from

Has anyone tried Asterisk on a MOSIX cluster? My concern is if there is any adiitonal laltency when when the processes are moved from on node to another. Anyone tried it yet? thaks, darran ps. Anyone have any info on MYSQL support with Asterisk? I see the conf file but I dont see a database schema to install... -------------- next part -------------- An HTML attachment was scrubbed...

Hi, This is not an R question per ce, but I feel like this is a right community to ask it. As a part of our work we run a lot of non-interactive computational jobs. To increase the throughput we would like to distribute the load over the entire network and we are looking at Linux network as a platform. Ideally we would like to be able to submit a job to the network, rather than to a computer, and

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

Mosix is a cluster operating system that is a set of kernel patches to Linux on i386 machines. It allows processes to migrate to other nodes on the cluster transparently. See www.mosix.org for details. However, my R processes were refusing to migrate. Using strace, and delving into the R code, I found that it was due to a large number of calls to the system setjmp and longjmp routines - the

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

Hi all, I was hoping to get some advice about a problem that I realize will be difficult to reproduce for some people. I'm running R 1.7.1 on an openMosix (Linux) cluster and have been experiencing some odd slow-downs. If anyone has experience with such a setup (or a similar one) I'd appreciate any help. Here's a simplified version of the problem. I'm trying to run the

I'm just curious if anyone else has had problems with this configuration. I added the CRAN repository to apt and installed 2.5.0 with apt-get. I then did an install.packages("Rmpi") on cluster nodes. Rmpi loads and lamhosts() shows the nodes, but mpi.spawn.Rslaves() fails (something to do with temp files?). Rmpi works fine with the Edgy-native version of R (2.3.x) and installing

Dear all, I wrote the following batch script on a iMac, and ran it on a linux mosix cluster. tu <- read.table("cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshape.table") tu_reshaped <- t(reshape(tu[1:50,], direction="wide", timevar="tu", idvar=c("rna","lib"))) write.table(tu_reshaped, "cage.mm5.tags.rna_lib.CAA-CAJ.tu-reshaped.table")

Hi, I'm developing an R/TclTk application which uses the BWidget and Tktable Tk extensions and I'm trying to make it easy to install. For now, I'm focusing on Windows users who start with nothing. I have built Tcl/Tk and Tktable for windows using Msys/MinGW. (BWidget contains only Tcl scripts so does not need building.) I have then copied Tktable and BWidget into the lib subdirectory

Hello fellow samba users, Our company uses samba for all fileshares/printing/PDC on two SUN E3500's. We like to replace these with about 10 Linux 19" XEON (pizza)boxes. The question: Are there any implementation out there using a loadbalancing cluster doing samba? A simple diagram of the setup I have in mind: Users (+/- 500) ||| Headnode(Director 1) - Headnode (Director 2) | Worknode -

Hello, I'm trying to install the rpvm package under Windows, but I am having problems. I have pvm3.4 installed properly. I've defined the system variables PVM_ROOT = C:\PROGRA~1\pvm3.4\ PVM_ARCH = win32 When I try to install, I get this: C:\R\Packages>Rcmd INSTALL rpvm_1.0.1.tar.gz ---------- Making package rpvm ------------ **********************************************

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?

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

Almost all of the heavy crunching I do in R is like: > for(i in long.list){ + do.something(i) + } > collect.results() Since all the invocations of do.something are independent of one another, there is no reason that I can't run them in parallel. Since my machine has four processors, a natural way to do this is to divide up long.list into 4 pieces and then start 4 jobs, each of which

On Wed, May 25, 2016 at 7:22 AM, Michael Lawrence <lawrence.michael at gene.com > wrote: > On Wed, May 25, 2016 at 4:23 AM, Jeroen Ooms <jeroen.ooms at stat.ucla.edu> > wrote: > I'm not disagreeing with what's been said in this thread, but I can't help but recall that I brought up this exact issue probably 15 years ago and was told (by Brian, I believe)

Dear all, does anyone know if there exists an effort to bring some kind of distributed computing to R? The most simple functionality I'm after is to be able to explicitly perform a task on a computing server. Sorry if this is a non-informed newbie question... Best regards Anders Sj?gren PhD Student Dept. of Mathematical Statistics Chalmers University of Technology Gothenburg, Sweden

I see some code in R to attach finalizers to external pointer references (Register[C]Finalizer). Anyone have an example of how to code the finalizer? R_RegisterCFinalizer accepts a C function, but I can't see how to get it to operate on the pointer, since the pointer is not passed to the function when its called. RegisterFinalizer takes an R closure, but how is it called from R (tried