similar to: Does R ever move objecsts in memory?

I've tweaked Rmpi and want to have some variables that hold data in the package. One of the R files starts mpi.isend.obj <- vector("list", 500) #mpi.request.maxsize()) mpi.isend.inuse <- rep(FALSE, 500) #mpi.request.maxsize()) and then functions update those variables with <<-. When run:

I have a package that can use rmpi, but works fine without it. None of the automatic test code invokes rmpi functionality. (One test file illustrates how to use it, but has quit() as its first command.) What's the best way to handle this? In particular, what is the appropriate form for upload to CRAN? When I omitted rmpi from the DESCRITPION file R CMD check gave <quote> * checking

Can anyone help me understand how I got 2 versions of the same library loaded, how to prevent it, and what the consequences are? Running under Debian GNU/Linux squeeze. lsof and /proc/xxx/map both show 2 copies of several libraries loaded: /home/ross/install/lib/libmpi.so.1.3.0 /home/ross/install/lib/libopen-pal.so.6.1.0 /home/ross/install/lib/libopen-rte.so.7.0.0

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

Some packages are available in cran2deb and Debian. After adding cran2deb to my sources.list it seems the cran2deb ones are favored because X.Y-ZcranN is "more recent" than X.Y-Z. In the case of r-cran-rmpi the effect of this was to cause aptitude to want to uninstall all my mpi stuff. Apparently the automatically generated package doesn't have mpi as a dependency. I just put a

Has anybody tried to use Rmpi with the OpenMPI library instead of LAM/MPI? LAM appears to be somewhat hardcoded in the Rmpi setup. Before I start to experiment with changing this, has anybody else tried Rmpi with non-LAM MPI implementations? Dirk -- Hell, there are no rules here - we're trying to accomplish something. -- Thomas A. Edison

I'm invoking R from withing a shell script like this R --no-save --no-restore --gui=none > `hostname` 2>&1 <<BYE # various commands here BYE I would like to regain control from the invoking terminal at some point. I tried source(stdin()) but got a syntax error, presumably stdin is the little shell here snippet (the part between <<BYE and BYE). Is there some way to

Hello, R version 2.4.1 (2006-12-18) i386-pc-mingw32 Calling serialize() with a NULL connection serializes it to a raw vector. However, when the object to be serialized is large, it takes a very long time: > system.time( serialize(matrix(0, 1000, 1000), NULL) ) [1] 38.25 40.73 81.54 NA NA > system.time( serialize(matrix(0, 2000, 2000), NULL) ) [1] 609.72 664.75 1318.57 NA

Thanks--I'll try this new version when I get back to working on this--hopefully soon. luke On Tue, 23 Mar 2004, Hao Yu wrote: > Sorry. I have not been able to update Rmpi since the version > 0.4-4 on R site. However, I have been using and testing Rmpi > internally since 0.4-4. Now it is version 0.4-7. See the > attached package. It requires R 1.8.1 (no more serialize >

Although this query was inspired by distributed random number generation, one of the questions (#2 below) is a single-machine issue. I call C++ code from R to generate simulated data. I'm doing this on a cluster, and use rmpi and rsprng. While rsprng randomizes R-level random numbers (e.g., from runif), it has no effect on the C code, which is completely SPRNG and MPI ignorant. Currently I

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

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

I am working on a SLES 10 cluster with R available on it. To better use my resources, I want to use Rmpi, but I am having a difficult time installing it. I have set the $R_LIBS variable correctly. The MPI libraries are available through the PGI compiler, but this R instance was compiled with GCC. The Rmpi package can be compiled and installed with %R CMD INSTALL Rmpi_0.5-5.tar.gz

Dear all, I have used the Rmpi package many times before however this time I've installed it as I always do with openMPI tar.gz file direct from the website. I'm installing on my ubuntu 8.10. Linux 2.6.27-11-generic #1 SMP Thu Jan 29 19:28:32 UTC 2009 x86_64 GNU/Linux All i get is: > library(Rmpi) Segmentation fault :~$ Which dumps me back into the shell, and doens't give me much

Hello everybody, I am trying to install Rmpi on 64-bit HP-Proliant server. I am facing the following error: * Installing *source* package 'Rmpi' ... Try to find mpi.h ... Found in /usr/local/mpich-1.2.7p1/include Try to find libmpi or libmpich ... Found libmpich in /usr/local/mpich-1.2.7p1/lib Try to find liblam ... checking for main in -llam... no liblam not found. Probably not LAM-MPI

Hi Folks, I've recently transitioned to Debian 8.0 and was having a hard time getting Rmpi to work. I believed I'd successfully installed dependencies via > sudo apt-get install r-cran-rmpi > apt-show-versions r-cran-rmpi r-cran-rmpi:amd64/jessie 0.6-5-1 uptodate but when installing the package I was still getting checking mpi.h presence... no checking for mpi.h... no

Hi, I am having a problem with installing Rmpi package on redhat linux machine. The R I am using is version 2.10.1. Here’s what happens. > install.packages( ''Rmpi'' ) --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL ''http://cran.cnr.Berkeley.edu/src/contrib/Rmpi_0.5-9.tar.gz'' Content type

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 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: ")