similar to: snow makeCluster (makeSOCKcluster) not working in R-2.11

When trying to create (a very simple) cluster using makeSOCKcluster or makeCluster I get the following error message: > library(snow) > cl <- makeSOCKcluster("localhost") Fatal error: kann Datei '~/R/i686-suse-linux-gnu-library/2.8/snow/RSOCKnode.R' nicht ?ffnen: Datei oder Verzeichnis nicht gefunden (translation: could not open file [...]: File or directory not

Thanks to Luke Tiernay and some experimenting I found out some issues. I don't claim this infomation is complete, but it may be helpful for anyone experimenting with SNOW on Linux: - environment variables PATH and R_SNOW_LIB need to be set on master and slaves. (manually or permanent in ~/.bashrc (adjust your pathnames accordingly). Don't use ~ for home directory, instead specify

Dear All, I have three classes of questions about generating random numbers with different packages (windows xp 32bit R). . 1. Suppose I would like to use package *foreach*, can I use current Sys.time as a seed? Although I can get the time up to1e-6 second precesion, the code below dose not work well on a local machine with two cores. ################# library(foreach) library(snow)

I know this is not a revolution support forum, but as anyone noticed the following? I have a foreach loop to generate random samples. If I run the exact code below in normal r (2.14.1) it works as expected, but if I run it from revolution 4.2.0 each loop returns the same numbers. The only way I can get revolution to give different numbers is using 1 instead of 8 in registerDoSNOW(makeCluster(8,

Dear R help, I am trying to set up a cluster for parallel computing on a machine running 64-bit windows XP, using the doSNOW package on R 2.14.1. However, the command makeCluster() consistently makes the computer hang. No R processes are started, no CPU consumed, R just becomes unresponsive. ESC still terminates the command, but I cannot start the cluster. There seems to be quite a lot of posts

Hi all, Within a foreach loop with doSNOW, we cant call functions which come from the non-default package. We need to load(require/library) the package once more within the foreach loop. Anyone knows why would happen like this? Is it caused by the snow package and something happened when "snow" parallelize the job? Other than load the package once more with in the foreach loop, is

Dear list, I just realized that one of the examples given in the help page to the function makeCluster of the library(snow) has a small syntax error : ## to get started library(snow) ?makeCluster .. will open a halp page containing the command towards the end of the examples : cl <- makeCluster(c(rep(list(macOptions), 2), rep(list(lnxOptions), 2), rep(list(winOptions),

I am trying to do parallel programming and I tried this library(doSNOW) library(foreach) testfunc<-function(x){ x<-x+1 x } noc<-2 cl <- makeCluster(do.call(rbind,rep(list("localhost"),noc)), type = "SOCK") registerDoSNOW(cl) clusterExport(cl=cl,c("testfunc.r")) testl<-foreach(pp=1:2) %dopar% { testfunc(pp) } And this works but if I try to

Hi all, I would like to know what would happen if using snow I create a cluster of size 50, for example using makeCluster(50,type='SOCK') on a machine with 2 Cores and run a function. Does snow run 25 and 25 functions on each of my 2 "real" processors or it just run 50 functions in one processor ? Thanks.

Shouldn't -n be 4 in the bsub command? One master+3 slaves. This was required for snowfall, but I think doSNOW is similar. Hope it helps mario On 16-Dec-10 23:09, Marius Hofert wrote: > Dear expeRts, > > I try to get a minimal example for parallel computing via "foreach" + "doSNOW" to run on a computer cluster (Brutus from

The command which hangs: I'm hoping there is a simple explanation, but I searched on-line and nothing jumped out. > cl <- makeCluster(type="SOCK",c("localhost"),manual=TRUE) Manually start worker on localhost with C:/PROGRA~1/R/R-214~1.2/bin/Rscript.exe "C:/Program Files/R/R-2.14.2/library/snow/RSOCKnode.R" MASTER=localhost PORT=11944 OUT=/dev/null

Dear list, When I run an R CMD check --as-cran on my package (pROC) I get the following note: > Uses the superseded package: ?doSNOW? The fact that it uses the doSNOW package is correct as I have the following example in an .Rd file: > #ifdef windows > if (require(doSNOW)) { > registerDoSNOW(cl <- makeCluster(2, type = "SOCK")) > ci(roc2,

Dear list, i have some problems using the snow package to create a SOCK cluster. The errors just occour irregularly but it seems to me that they occour when I try to create more than one cluster on the same machine via different R instances started via submitting LSF jobs to a cluster. Does anyone have an idea how to solve this or where to start digging for solutions? The error messages

Hi, I am attempting to implement a mixed (windows/linux) snow sockets parallelism in R, but am running into difficulties similar to a post made Aug 31, 2006 under the same subject heading. I feel like I may be one or two non-obvious steps away from getting it all working, but I'm stuck. If anyone can shed some light on this (I believe Prof. Tierney stated that he has successfully run a

Oh, I completely missed that one. It's very neat as it seems to work both on Windows and Unix. Thanks! Xavier On 10/02/15 10:52, Martyn Plummer wrote: > The CRAN package snow is superseded by the parallel package which is > distributed with R since version 2.14.0. Here are the release notes > > \item There is a new package \pkg{parallel}. > > It incorporates (slightly

Below is the output. Thanks for the help. > Sys.getenv() BASH_FUNC_module() () { eval `/cm/local/apps/environment-modules/3.2.10/Modules/$MODULE_VERSION/bin/modulecmd bash $*` } COLUMNS 152 CPATH /cm/shared/apps/uge/8.2.1/include CVS_RSH ssh DISPLAY localhost:10.0 EDITOR

Dear expeRts, This is a similar post as on R-SIG-MAC [I didn't receive an answer there; not sure if it was the right place to post either]. I'm running R version 2.12.1 (Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)) on a MacBook Pro under Mac OS X 10.6.6. The following minimal example runs fine under this setup. However, if I am connected to a server via a VPN client [Cisco

Dear expeRts, I struggle with the following problem using snow clusters for parallel computing: I would like to specify l'Ecuyer's random number generator. Base R creates a .Random.seed of length 7, the first value indicating the kind fo random number generator. I would thus like to use the components 2 to 7 as the seed for l'Ecuyer's random number generator. By doing so, I

Hello group, I am experimenting with parallel processing on my quad core Win 7 32 bit machine. Using these packages for the first time. I can see all my processor running at full performance when I use a smaller dataset require(snow) require(doSNOW) require(foreach) #change the 8 to however many cores\phys processors you have on your machine cl.tmp = makeCluster(rep("localhost",4),

The CRAN package snow is superseded by the parallel package which is distributed with R since version 2.14.0. Here are the release notes \item There is a new package \pkg{parallel}. It incorporates (slightly revised) copies of packages \CRANpkg{multicore} and \CRANpkg{snow} (excluding MPI, PVM and NWS clusters). Code written to use the higher-level API functions in those packages should