similar to: Creating a package which contains stand-alone C code

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

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: ")

Hi, I'm testing the efficiency of the Rmpi package regarding parallelization using a cluster. I've found and tried the task pull programming method, but even if it is described as the best method, it seems to cause deadlock, anyone could help me in using this method? here is the code I've found and tried: # Initialize MPI library("Rmpi") # Notice we just say "give us

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:

Dear R People: I'm having some trouble with mpiexec and Rmpi. I would like to be able to pass in the number of "children" via the mpiexec command (from the command line). this is in SUSE10.1, with R-2.7.1 Here are my files: cat eb.R library(Rmpi) mpi.remote.exec(paste("i am",mpi.comm.rank(),"of",mpi.comm.size())) mpi.quit() hodgesse at

I am running R 2.7.0 on a Suse 9.1 linux cluster with a job scheduler dispatching jobs and openmpi-1.0.1. I have tried running one of the examples at http://ace.acadiau.ca/math/ACMMaC/Rmpi/examples.html in Rmpi and they seem to be working, except mpi.close.Rslaves() hangs. The slaves are closed, but the master doesn't finish its script. Below is the example script and the call to R. The job is

Hi, I've been trying here to install Rmpi on an SGI IA-64 machine with 64 processors, running SuSE Linux Enterprise Server 9, R 2.4.0 and lam-mpi 7.1.3. While I've read of similar problems on this list, I think I've got an entirely new set of error messages to contribute (see below). I'm not sure what the actual error is and what the @gprel relocation message is about. Any help

Hi, everyone, I want to install Rmpi on a cluster with Fedora linux. It already installed mpich2, but not lam-mpi. I installed R-2.2.0 on it already. And I got error as below: * Installing *source* package 'Rmpi' ... Try to find mpi.h ... checking for gcc... gcc checking for C compiler default output file name... a.out checking whether the C compiler works... yes checking whether we are

Dear Sir/Madam, I need to install Rmpi Package on my linux debian like, but I get some errors. I try to instal it using install.packages or after download and save it on my local dir and run R CMD INSTALL packagename and, both, I get these errors: checking mpi.h usability... no checking mpi.h presence... no checking for mpi.h... no Try to find mpi.h ... Cannot find mpi header file. Please

Dear People, This may not be the right place to ask a question about Rmpi, but I don't know of a better one. I am trying to get a simple program working using Rmpi with the model of 1 R master and n C slaves. What I am trying to do is have each of the C slaves generate a random number from U[0,1], and then have the master collect all n numbers as a vector and output it. However even doing

Hello, I try to write parts of my code in C to accelerate the for-loops. But basic operations I want to do in R (e.g. start cluster). My R code looks something like this: library(Rmpi) mpi.spawn.Rslaves() mpi.remote.exec(....) dyn.load("test.so") erg <- .Call("test", ....) .... mpi.close.Rslaves() mpi.quit() And my C function looks something like this: #include

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

Dear mac folks, I have started porting a large legacy toolset maintained in windows and heavily mpi laden so it can be used across platforms in R... so I am building a package out of it. On this note, I am noticing that almost all of the mpi dependent packages do not compile on the CRAN repositories.... with the basic issue that it appears it can not find mpi installed: configure: error:

Dear R Users, I have a relatively simple rmpi question. My configation is: - R version 2.7.2 - rmpi 0.5-6 - Deino MPI 1.1.0 - Windows XP SP2 After succesfully spawning slaves, I am trying to assign values to variables in the environment of each slave and run some simple calcs. This appears to fail, as below: my assignment of value "1" to variable "a" appears to come back

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 I am trying to utilize my dual core processor (and later a High-performance clusters (HPC) ) by using the Rmpi, snow, snowfall, ... packages, but I am struggling at the beginning, i.e. to initialise the "cluster" on my dual core computer. Whenever I try to initialize it (via sfInit(parallel=TRUE, cpus=2) or mpi.spawn.Rslaves(nslaves=2) ), I get an error message: >

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

Hi, I am using a cluster with LAM 7.1.3/MPI 2 and R 2.6.0. Rmpi version 0.5-5 is working very well. Now I have tested "Rmpi 0.5-6". During spawning the Rslaves I get an error: MPI_Error_string: error spawning process > sessionInfo() R version 2.6.0 (2007-10-03) x86_64-unknown-linux-gnu locale:

Sorry to take so long to reply ... On Thu, 2015-12-17 at 11:53 -0500, Tony Schreiner wrote: > Did you load the compat-openmpi environment module? > > module load mpi/compat-openmpi16-x86_64 Yes, but you can't load both mpi/openmpi-x86_64 and?mpi/compat- openmpi16-x86_64 as they are labelled as conflicting. As I said, if you load just mpi/compat-openmpi16-x86_64 it can't find