freebsd-ports/science/R-cran-snow/Makefile

# Created by: TAKATSU Tomonari <tota@FreeBSD.org>
# $FreeBSD$

PORTNAME=	snow
DISTVERSION=	0.3-12
PORTREVISION=	1
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

NO_STAGE=	yes
.include <bsd.port.mk>
update the R base ports to 2.15.2 and adjust dependent ports Reviewed by: thierry, tota, wen 2013-01-04 18:51:39 +01:00			`# Created by: TAKATSU Tomonari <tota@FreeBSD.org>`
- Add a new port: science/R-cran-snow 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/ 2012-01-31 14:14:19 +01:00			`# $FreeBSD$`

			`PORTNAME= snow`
- Update to 0.3-12 2013-03-27 21:52:59 +01:00			`DISTVERSION= 0.3-12`
Update math/R to 3.0.1-patched, and adjust dependent ports; synchronize math/rpy with upstream repository Reviewed by: wen Approved by: wen, tota 2013-05-28 17:15:05 +02:00			`PORTREVISION= 1`
- Add a new port: science/R-cran-snow 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/ 2012-01-31 14:14:19 +01:00			`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`

Add NO_STAGE all over the place in preparation for the staging support (cat: science) 2013-09-21 00:48:30 +02:00			`NO_STAGE= yes`
- Add a new port: science/R-cran-snow 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/ 2012-01-31 14:14:19 +01:00			`.include <bsd.port.mk>`