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- Add a new port: science/R-cran-snow

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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"
  computations.

  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.

  WWW:	http://cran.r-project.org/web/packages/snow/
This commit is contained in:
TAKATSU Tomonari 2012-01-31 13:14:19 +00:00
parent 2adb20ceca
commit 1d6516ce7c
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=290171
4 changed files with 43 additions and 0 deletions
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1
science/Makefile
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@ -12,6 +12,7 @@
SUBDIR += R-cran-bayesm
SUBDIR += R-cran-eco
SUBDIR += R-cran-epicalc
SUBDIR += R-cran-snow
SUBDIR += abinit
SUBDIR += afni
SUBDIR += avogadro

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science/R-cran-snow/Makefile Normal file
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@ -0,0 +1,19 @@
# New ports collection makefile for: R-cran-snow
# Date created: 2011-08-16
# Whom: TAKATSU Tomonari <tota@FreeBSD.org>
#
# $FreeBSD$
#
PORTNAME= snow
DISTVERSION= 0.3-8
CATEGORIES= science
DISTNAME= ${PORTNAME}_${DISTVERSION}
MAINTAINER= tota@FreeBSD.org
COMMENT= Support for simple parallel computing in R
USE_R_MOD= yes
R_MOD_AUTOPLIST= yes
.include <bsd.port.mk>

2
science/R-cran-snow/distinfo Normal file
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@ -0,0 +1,2 @@
SHA256 (snow_0.3-8.tar.gz) = a41480f9d9692a24c6f1eea680fe431ae2df72f7d5b67e3eb912f245ce070bc9
SIZE (snow_0.3-8.tar.gz) = 22893

21
science/R-cran-snow/pkg-descr Normal file
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@ -0,0 +1,21 @@
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"
computations.
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.
WWW: http://cran.r-project.org/web/packages/snow/