similar to: Help on installing RScaLAPACK on Ubuntu

Hi all, I'm using RScalapack library for parallelizing some heavy matrix operations required by MCMC methods for spatio-temporal models. The package reference manuals (dated 2005) states that the library needs LamMPI to work but we have a Linux Cluster with OpenMPI. We have found (http://cvs.fedoraproject.org/viewvc/devel/R-RScaLAPACK/) a patch for OpenMPI but we are wondering if in the

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

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 have Windows XP Professional Version 2002 and the R-Version 2.1.1. I want to do factor analysis with R. In Google Search I find the reference to the RScaLAPACK-Package, but my R-Version 2.1.1. told me that "RScaLAPACK is invalid package, bevor 2.0.0. installed" . Which package can I take for factor analysis? [[alternative HTML version deleted]]

Normally, I do the following to configure R for compilation on my Opteron box with ACML installed: ./configure --with-tcltk --with-blas="-L/opt/acml4.3.0/gfortran64/lib -lacml" However, when I do so, and look at Makeconf, I see BLAS_LIBS = -lblas I thought I would see BLAS_LIBS = -L/opt/acml4.3.0/gfortran64/lib -lacml Why isn't Makeconf picking up the right BLAS_LIBS (or is

Hi, I had access to an hpc cluster, and wanted to parallelize some of my R code. I looked at the snow,nws, rscalapack documentation but was unable to make out how I should submit my job to the hpc, and how I should code a simple program. For example, if I had 10 matrices, and 10 processor how should I write the R (and the hpc submit code) so that I run the calculations (e.g. rowsums) for each

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