R-cran-snow - Support for simple parallel computing in R
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The snow package provides support for simple parallel computing on a
network of workstations using R. A master R process calls makeCluster
to start a cluster of worker processes; the master process then uses
functions such as clusterCall and clusterApply to execute R code on
the worker processes and collect and return the results on the master.
This framework supports many forms of "embarrassingly parallel"
Snow can use one of four communications mechanisms: sockets, PVM, MPI,
or NetWorkSpaces (NWS). NWS support was provided by Steve Weston.
PVM clusters use the rpvm package; MPI clusters use package Rmpi; NWS
clusters use package nws. If pvm is used, then pvm must be started,
either using a pvm console (e.g the pvm text console or the graphical
xpvm console, both available with pvm) or from R using functions
provided by rpvm. Similarly, LAM-MPI must be started, e.g. using
lamboot, for MPI clusters that use Rmpi and LAM-MPI. If NWS is used,
the NetWorkSpaces server must be running. SOCK clusters are the
easiest approach for using snow on a single multi-core computer as
they require no additional software.
Install R-cran-snow txz package:
# pkg install R-cran-snow