makeCluster {parallel}R Documentation

Create a Parallel Socket Cluster

Description

Creates a set of copies of R running in parallel and communicating over sockets.

Usage

makeCluster(spec, type, ...)
makePSOCKcluster(names, ...)
makeForkCluster(nnodes = getOption("mc.cores", 2L), ...)

stopCluster(cl = NULL)

setDefaultCluster(cl = NULL)

Arguments

spec

A specification appropriate to the type of cluster.

names

Either a character vector of host names on which to run the worker copies of R, or a positive integer (in which case that number of copies is run on localhost).

nnodes

The number of nodes to be forked.

type

One of the supported types: see ‘Details’.

...

Options to be passed to the function spawning the workers. See ‘Details’.

cl

an object of class "cluster".

Details

makeCluster creates a cluster of one of the supported types. The default type, "PSOCK", calls makePSOCKcluster. Type "FORK" calls makeForkCluster. Other types are passed to package snow.

makePSOCKcluster is very similar to makeSOCKcluster in package snow. It runs Rscript on the specified host(s) to set up a worker process which listens on a socket for expressions to evaluate, and returns the results (as serialized objects).

makeForkCluster is merely a stub on Windows. On Unix-alike platforms it creates the worker process by forking.

The workers are most often running on the same host as the master, when no options need be set.

Several options are supported (mainly for makePSOCKcluster):

master

The host name of the master, as known to the workers. This may not be the same as it is known to the master, and on private subnets it may be necessary to specify this as a numeric IP address. For example, Mac OS X is likely to detect a machine as somename.local, a name known only to itself.

port

The port number for the socket connection, default taken from the environment variable R_PARALLEL_PORT, then 10187.

timeout

The timeout in seconds for that port. Default 30 days (and the POSIX standard only requires values up to 31 days to be supported).

outfile

Where to direct the stdout and stderr connection output from the workers. "" indicates no redirection (which may only be useful for workers on the local machines). Defaults to ‘/dev/null’ (‘nul:’ on Windows). The other possibility is a file path on the worker's host. Files will be opened in append mode, as all workers log to the same file.

homogeneous

Logical. Are all the hosts running identical setups, so Rscript can be launched using its full path on the master? Otherwise it has to be in the default path on the other hosts.

rscript

The path to Rscript on the workers. Defaults to the full path on the master.

renice

A numerical ‘niceness’ to set for the worker processes, e.g. 15 for a low priority. OS-dependent: see psnice for details.

rshcmd

The command to be run on the master to launch a process on another host. Defaults to ssh.

user

The user name to be used when communicating with another host.

manual

Logical. If true the workers will need to be run manually.

methods

Logical. If true (default) the workers will load the methods package: not loading it saves ca 30% of the startup time of the cluster.

useXDR

Logical. If true (default) serialization will use XDR: where large amounts of data are to be transferred and all the nodes are little-endian, communication may be substantially fast if this is set to false.

Function makeForkCluster creates a socket cluster by forking (and hence is not available on Windows). It supports options port, timeout and outfile, and always uses useXDR = FALSE.

It is good practice to shut down the workers by calling stopCluster: however the workers will terminate themselves once the socket on which they are listening for commands becomes unavailable, which it should if the master R session is completed (or its process dies).

Function setDefaultCluster registers a cluster as the default one for the current session. Using setDefaultCluster(NULL) removes the registered cluster, as does stopping that cluster.

Value

An object of class c("SOCKcluster", "cluster").

Author(s)

Luke Tierney and R Core.

Derived from the snow package.


[Package parallel version 2.15.1 Index]