similar to: Rmpi - send/receive multiple objects to slaves

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 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 all, I'm having difficulties passing data from the master to the children. I haven't seen any complete tutorial, all the tutorial broadcast data where I would like to send parts of my big tablechip list. Everytime I run this, the last line always jams. I even tried to reduce the number of rows in data to 10 and still doesn't work. I even tried to do a remote.exec(ls()) and

Dear R yet again! I finally got the Rmpi package to install! Yay!. However, when I go into R to use it, there is an error with the dyn.load file. This should be simple (allegedly). Please help. Thanks, Sincerely, Erin mailto: hodgess at gator.uhd.edu /home/faculty/hodgess/R-2.6.0/bin [hodgess at gator bin]$ ./R CMD INSTALL Rmpi_0.5-4.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

This is a rather obscure question, I realize. I have written to the package author but have not heard back as of yet. I have read the README in the package, as well, but it didn't give me enough detail to diagnose the problems that I am having. (I did edit out the LAM-MPI check in zzz.R.in.) I am working to install Rmpi on top of MPICH on a beowulf cluster. Below is the output of the

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: ")

I'm aiming to compare the workings of Rmpi and multicore on a duel processor quad core machine with 64 bit R-2.11.1 Kubuntu 10.4. It's impossible for me to get a small reproducable code segment to show what I mean, but if I show what works for mclapply, I'd hope it's possible to be shown what would be the equivalent way with mpi.apply. The function lr.gbm has variables trees,

Hello All First - a warning. I'm not very R or programming savvy. I am trying to do something without much luck, and have scoured help-pages, but nothing has come up. Here it is: I have a matrix (m) of approx 40,000 rows and 3 columns, filled with numbers. I would like to convert the contents of this matrix into another matrix (m_p), where the numbers of (m) have been coerced into a

Dear R list, In the course of learning to work with Rmpi, we are confused about a few points. The following simple program is based on some examples we retrieved from the web. Each slave is writing the same output line multiple times (a multiple equal to the number of slaves). In other words, the write statements are being executed a number of times equal to the number of slaves. I am

Signed-off-by: Maarten Lankhorst <maarten.lankhorst at canonical.com> --- drivers/gpu/drm/radeon/radeon_gem.c | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/drivers/gpu/drm/radeon/radeon_gem.c b/drivers/gpu/drm/radeon/radeon_gem.c index d09650c1d720..7ba883843668 100644 --- a/drivers/gpu/drm/radeon/radeon_gem.c +++

Hi all, I'm handling massive data.frames and matrices in R (30000 x 400). In the 1st column, say, I have 0s and 1s indicating rows that matter; other columns have probability values. One simple task I would like to do would be to get the column mean values for signaled rows (the ones with 1) As a very fresh "programmer" I have build a simple function in R which should not be very

Hi everyone, Can I suggest the following modification of outer for R-1.3, in the interests of speed and size of calculation: ******************************************************************* "outer" <- function (X, Y, FUN = "*", ...) { no.nx <- is.null(nx <- dimnames(X <- as.array(X))) dX <- dim(X) no.ny <- is.null(ny <- dimnames(Y <-

>>>>> Gebhardt, Albrecht <Albrecht.Gebhardt at aau.at> >>>>> on Sun, 19 Mar 2017 09:14:56 +0000 writes: > Hi, > the function outer can not apply a constant function as in the last line of the following example: >> xg <- 1:4 >> yg <- 1:4 >> fxyg <- outer(xg, yg, function(x,y) x*y) >> fconstg

> Or is this a bad idea? I don't like the proposal. I have seen code like the following (in fact, I have written such code, where I had forgotten a function was not vectorized) where the error would have been discovered much later if outer() didn't catch it. > outer(1:3, 11:13, sum) Error in outer(1:3, 11:13, sum) : dims [product 9] do not match the length of object [1]

On Sat, Sep 07, 2019 at 09:58:46PM -0400, Ilia Mirkin wrote: > On Wed, Aug 21, 2019 at 7:55 AM Thierry Reding <thierry.reding at gmail.com> wrote: > > > > On Wed, Aug 21, 2019 at 04:33:58PM +1000, Ben Skeggs wrote: > > > On Wed, 14 Aug 2019 at 20:14, Gerd Hoffmann <kraxel at redhat.com> wrote: > > > > > > > > Hi, > > > >

> From: Thomas Lumley > > On Sun, 30 Oct 2005, Jonathan Rougier wrote: > > > I'm not sure about this. Perhaps I am a dinosaur, but my feeling is > > that if people are writing functions in R that might be subject to > > simple operations like outer products, then they ought to be writing > > vectorised functions! > > I would agree. How about an

Has anyone written subscripting methods for matrices which are indexed from zero? i.e. functions such as "[.zoffset" and "[<-.zoffset" which would allow, given an appropriate function "zmatrix" "zmatrix" <- function(...) { robj <- matrix(...) class(robj) <- "zoffset" robj } fred <- zmatrix(1:20, 4, 5) fred[0, 4] # would be 17

> Hi Gerd, > > I've been seeing a regression on Nouveau with recent linux-next releases > and git bisect points at this commit as the first bad one. If I revert > it (there's a tiny conflict with a patch that was merged subsequently), > things are back to normal. > > I think the reason for this issue is that Nouveau doesn't use GEM > objects for all buffer