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How to set up cluster slave nodes (on Windows)

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I need to run thousands* of models on 15 machines (each of 4 cores), all Windows. I started to learn parallel , snow and snowfall packages and read a bunch of intro's, but they mainly focus on the setup of the master. There is only a little information on how to set up the worker (slave) nodes on Windows. The information is often contradictory: some say that SOCK cluster is practically the easiest way to go , others claim that SOCK cluster setup is complicated on Windows (sshd setup) and the best way to go is MPI . So, what is an easiest way to install slave nodes on Windows? MPI, PVM, SOCK or

makeCluster function in R snow hangs indefinitely

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I am using makeCluster function from R package snow from Linux machine to start a SOCK cluster on a remote Linux machine. All seems settled for the two machines to communicate succesfully (I am able to estabilish ssh connections between the two). But: makeCluster("192.168.128.24",type="SOCK") does not throw any result, just hangs indefinitely. What am I doing wrong? Thanks a lot Steve Weston Unfortunately, there are a lot of things that can go wrong when creating a snow (or parallel) cluster object, and the most common failure mode is to hang indefinitely. The problem is that makeSOCKcluster

error: object '.doSnowGlobals' not found?

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问题 I'm trying to parallelize a code on 4 nodes(type = "SOCK"). Here is my code. library(itertools) library(foreach) library(doParallel) library(parallel) workers <- ip address of 4 nodes cl = makePSOCKcluster(workers, master="ip address of master") registerDoParallel(cl) z <- read.csv("ProcessedData.csv", header=TRUE, as.is=TRUE) z <- as.matrix(z) system.time({ chunks <- getDoParWorkers() b <- foreach (these = isplitIndices(nrow(z), chunks=chunks), .combine = c) %dopar% { a <- rep(0, length

Error calling serialize R function

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问题 I am loading the following packages into R: library(foreach) library(doParallel) library(iterators) I "parallelize" code for a long time, but lately I am getting INTERMITTENT stops while code is running. The error is: Error in serialize(data, node$con) : error writing to connection My educated guess is that maybe the connection that I open using the commands below, has expired: ## Register Cluster ## cores<-8 cl <- makeCluster(cores) registerDoParallel(cl) Looking at makeCluster man page I

Parallel R on a Windows cluster

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问题 I've got a Windows HPC Server running with some nodes in the backend. I would like to run Parallel R using multiple nodes from the backend. I think Parallel R might be using SNOW on Windows, but not too sure about it. My question is, do I need to install R also on the backend nodes? Say I want to use two nodes, 32 cores per node: cl <- makeCluster(c(rep("COMP01",32),rep("COMP02",32)),type="SOCK") Right now, it just hangs. What else do I need to do? Do the backend nodes need some kind of sshd

圣诞节雪花效果，pc端

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