similar to: Help installing taskPR

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

Dear R People: I'm having trouble installing Rmpi on a debian machine. Here is my output: bccd at node000:~$ /bccd/home/bccd bccd at node000:~$ bccd at node000:~$ export RMPI_TYPE=OPENMPI bccd at node000:~$ R CMD INSTALL Rmpi_0.5-9.tar.gz * installing to library '/bccd/home/bccd/R/x86_64-pc-linux-gnu-library/2.15' * installing *source* package 'Rmpi' ... checking for gcc...

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 am running into the following issue that has been previously reported on the R-devel mailing list. The short version is that I'm writing a package for MPI, and I'd like to change CC and SHLIB_LD to "mpicc". Trying to change them in Makevars.in has no effect, because the values are clobbered by /etc/R/Makeconf. Will the following changes to Makeconf.in introduce any problems?

Hello, We have recently added a 64-bit 2 x Dual-Core Athlon server running Red Hat Enterprise Linux AS release 3 to allow for processing of large data sets (>4GB) in R. To integrate this server into our Linux cluster, I have been trying (unsuccessfully) to use Rmpi/lam-mpi to parallel process some of our scripts. While I have successfully compiled R 2.4.0 and lam-mpi 7.1.2 on this server using

One way to deal with this is to install R itself with mpicc. Then all packages are installed with mpicc and get the required MPI libraries and includes by default. I have done this with R-2.13.0 on an Opteron cluster running CentOS-5 a while ago and so far it has worked out great. I crosspost to r-sig-hpc and welcome others to comment if there are potential downsides to this solution. George

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

Dear R Debian Users: I wrote a quick C program (eventually to become R code) and compiled it as: mpicc -o greet greet.c So far so good. Now when I run mpirun, this happens: erin at erin-laptop:~$ mpirun -np 2 greet ----------------------------------------------------------------------------- It seems that there is no lamd running on the host erin-laptop. This indicates that the LAM/MPI

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

Hello, I try to install pbdMPI. Compilation successful, but load fails with segfault. Is anyone can help me? R version 3.0.0 pbdMPI version 0.1-6 Intel compiler version 13.1.1 OpenMPI version 1.6.4-1 CPU Intel x86_64 # R CMD INSTALL pbdMPI_0.1-6.tar.gz .. .... checking for gcc... icc -std=gnu99 checking whether the C compiler works... yes checking for C compiler default output file name...

We've added a column at http://cran.r-project.org/web/checks/check_summary.html of test results using the Sun Studio compiler: it is intended that these will be updated weekly. The Sun Studio compiler is that used on Solaris: these runs were on the Linux version. All the other platforms are using gcc 4, so this provides an opportunity for checking for use of gcc-specific features and

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

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

Hi all, Has anybody debugged LLVM IR with GDB? I'm using dragonegg to transform C into IR, then applying my optimizations. Passing "-g" to dragonegg doesn't seem to work since it generates debug info for the C code, not the IR. I really need GDB (lli doesn't solve my problems) in order to debug multi-threaded and multi-process MPI code. More clearly, if I have a file

Dear R People: I am having some trouble with the snow package. It requires MPICH2 and Rmpi. Rmpi is fine. However, I downloaded the MPICH2 package, and installed. There is no mpicc, mpirun, etc. Does anyone have any suggestions, please? Thanks in advance! Sincerely, Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto:

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

Hi all, I'm unable to compile R under an HPC system (which like many HPC systems doesn't always have the latest and greatest software). The version of GCC is 4.1.2 under CentOS 5.7. Running ./configure gives the following output: R is now configured for x86_64-unknown-linux-gnu Source directory: . Installation directory: /home/tbarik C compiler: gcc

Hi Pablo, > Has anybody debugged LLVM IR with GDB? I'm using dragonegg to transform C into > IR, then applying my optimizations. Passing "-g" to dragonegg doesn't seem to > work since it generates debug info for the C code, not the IR. I really need GDB > (lli doesn't solve my problems) in order to debug multi-threaded and > multi-process MPI code. > >

Dear R Gurus: Is there a problem with Rmpi on x86 with SUSE 10.1, please? I've tried everything and it still won't load. Has anyone else dealt with this please? Thanks, Edna Bell

Hi, everybody. I hope the new year is treating you well. In a Rocks Cluster Linux system (that's Centos 5.2 based), I have built R-2.10 and it runs well. While fiddling with MPI libraries and R packages, I've noticed a few little wrinkles. This comes as no surprise to the veteran R programmers, but let me share to the new guys the following gem: There is a difference between . and -