similar to: [Fwd: snowfall on Win7]

Dear list, Does the snowfall package work under Windows 7? Recently I upgraded from Windows Vista to Windows 7, and at the same time upgraded R from 2.8.1 to 2.10. On my machine (Intel i7 based) snowfall worked perfectly on my previous installation, but after the upgrade the same scripts do not work. When I issue e.g. sfInit(parallel=T, cpus=2) # (or 'cpus=7', which I often used

Hello dear R community. I just started playing with the snowfall package (a wrapper for the snow package), and found it very convenient. (See also this great website: http://www.imbi.uni-freiburg.de/parallel/ ) I was wondering if it is possible to connect snowfall with the foreach package (since it has some connection to snow). My final goal is to do some simple parallel simulations on my two

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: >

Dear R-listers, I have been using Snowfall (version 1.84) for parallel computing on a quad-PC running Windows 7 for a month or so without much problem. I started having problems runnnig R with Snowfall over our network when a new Novell client was installed for Windows 7. I experinenced network mapping problem with this new client. Our network colleague provided a fix which worked but a little

Dear all, I am trying to execute the simple example in snowfall http://cran.r-project.org/web/packages/snowfall/vignettes/snowfall.pdf ... require(snow) require(snowfall) sfInit( parallel=TRUE, cpus=2 ) sfLapply( 1:10, exp ) sfStop() I have installed the snow and snowfall packages in R on a machine with windows xp, however, after running the "sfInit( parallel=TRUE, cpus=2 )" line I

Greetings, I am trying to use Reference Class methods in Snowfall, using R 2.12.1 on Ubuntu Natty. Using then directly seems to work (stanza 2 below), but using them indirectly does not (stanza 3 below). I get an "attempt to apply non-function" error. In addition to exporting the instance of the object I created to the Snowfall slaves, I also made several attempts to export the

Hello, I'm new to R and I'm building a system that uses a cluster of computers to parallelize computations. To handle cluster setup I'm using the R package Snowfall, but knowledge of Snowfall may not be necessary to answer my question. I'm using a socket-based approach to cluster setup, so all I need to do is give Snowfall a vector of hostnames and it handles the rest. The problem

Sorry for wasting your time with an incorrect diagnosis in my previous mail! I'm running my script using mpirun -mp 4 and using snowfall+Rmpi on Linux 64bits. I receive the following error, that terminates the run. Any idea? I'm able to reproduce the problem with a minimal script (below). If n < 16371 it completes 9 iterations without problems. Already at 16371 it dies at iteration 7

I feel like I've tried the works on something that should be obvious but I'm stuck. Package snowfall used to run just great under debian etch (amd-64, 2x quad-core). After upgrading to lenny (debian 5, reinstalled from scratch), I haven't been able to get snowfall running again. Password-less ssh works fine to localhost, its IP, or zero- config name. But when calling sfInit I

Hi there, I have some question about how to use this package: My code structure is as follows: rm(list=ls()) set.seed(2014) library(snowfall) ############# #part 1: generate the initial value for simulation #part 2: some functions will be used in the simulation #simulation part, start from "while loop" sink('SnowFallExample.Rout', split=TRUE) .Platform .Machine R.version

Hello, I'm trying to run a code that uses the snowfall package. Here is the structure of my code. sfInit(parallel=T, cpus = 5, slaveOutfile="ErrorMessage.txt") sfExportAll() sfLibrary(rgdal) sfLibrary(raster) sfLibrary(sp) sfLibrary(rgeos) sfLibrary(snowfall) system.time( sfClusterApplyLB(1:10, function(k) { sfCat(paste("Iteration ", k),

I'm running my script using mpirun -mp 4 and using snowfall+Rmpi on Linux 64bits. I receive the following error, but apparently without consequences on the results. Any idea? I'm able to reproduce it with a minimal script (below). Seems the critical issue is the for loop. Without it no error. Thanks for your help! TERM: Undefined variable. TERM: Undefined variable. TERM: Undefined

Dear All, I have a question of how to export S4 class specification to clusters/workers in parallel computing. The package I used is snowfall. The problem is reproducible as follows. Any hint is greatly appreciated. Edwin Sun === begin =========== library(snowfall) sfInit(parallel = TRUE, cpus = 2) setClass("catt", representation(aa = "numeric")) setClass("dogg",

Dear users, I want to set up R to use one R-script directory and one R-library (directory for packages) for many end-users. I try to do this by using one network-share. This works fine as long as we don't use the snowfall package with parallel=TRUE (sfInit(parallel=TRUE, cpus=4, type="SOCK")). When running R with default settings (local library and local script directory)

Dear expeRts, I'm currently trying to get data from a PostgreSQL database _in parallel_. I tried two methods: * passing the DBI Connection object to the cluster nodes * connecting the the DB on each node (1) The execution of the first method looks like this: > result = sfClusterApplyLB(input, fun, dbiCon) and produces an "expired PostgreSQLConnection" error. (Of course the

Hello, I don't know if the question pertains to Rmpi, snow or snowfall. I run my job by: mpirun -np N -hostfile $PBS_NODEFILE RMPISNOW -f my-script.r --slave In the snowfall sfInit call I have to specify one less CPU respect to the mpirun call sfInit(parallel=TRUE, cpus=N-1, type="MPI") otherwise I receive an error similar to: "cluster size N-1 already

Guys, Is anyone using snowfall? It seems that the last version is broken. sfinit contains test code: data("config", package = "snowfall") configM <- as.matrix(t(config)) config <- as.list(configM) names(config) <- dimnames(configM)[[2]] .sfOption$SERVER <<- as.character(config[["SERVER"]]) .sfOption$PORT <<-

Hello, Just wondering why I am unable to run this in parallel. A dput of my dataset is attached at the end. Please use to create my data object. I want to run this function in parallel (not sure if this is an efficient implementation): #Function to calculate the time to maturity for the option require(fCalendar,quietly=TRUE) #Trying to calculate the trading days

Hola: Soy bastante novato en el mundillo de la paralelización en R, y desde hace unos meses que uso Snowfall (con R 2.15.1 sobre GNU/Linux 64 bits) para paralelizar un script (por ahora usando las diferentes cpu''s de un servidor del trabajo; en un futuro, para lanzar el script en un cluster, etc.) La cosa es que después de "refactorizar" (¿se dice así en castellano?) el

https://bugzilla.mindrot.org/show_bug.cgi?id=2364 Bug ID: 2364 Summary: Incorrect .ssh parent directory permissions not logged Product: Portable OpenSSH Version: 6.6p1 Hardware: ix86 OS: Linux Status: NEW Severity: normal Priority: P5 Component: ssh Assignee: unassigned-bugs