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# File src/library/parallel/R/snow.R
# Part of the R package, http://www.R-project.org
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
## Derived from snow 0.3-6 by Luke Tierney
.reg <- new.env()
assign("default", NULL, envir = .reg)
defaultCluster <- function(cl = NULL)
{
if(is.null(cl)) cl <- get("default", envir = .reg)
if(is.null(cl)) stop("no cluster supplied and none is registered")
cl
}
setDefaultCluster <- function(cl = NULL)
{
if(!is.null(cl)) checkCluster(cl)
assign("default", cl, envir = .reg)
}
#
# Checking and subsetting
#
checkCluster <- function(cl)
if (!inherits(cl, "cluster")) stop("not a valid cluster");
`[.cluster` <- function(cl, ...) {
v <- NextMethod()
class(v) <- class(cl)
v
}
#
# Higher-Level Node Functions
#
closeNode <- function(node) UseMethod("closeNode")
closeNode.default <- function(node) {}
## These have SOCK methods
sendData <- function(node, data) UseMethod("sendData")
recvData <- function(node) UseMethod("recvData")
recvOneData <- function(cl) UseMethod("recvOneData")
postNode <- function(con, type, value = NULL, tag = NULL)
sendData(con, list(type = type, data = value, tag = tag))
stopNode <- function(n) {
postNode(n, "DONE")
closeNode(n)
}
#
# Cluster Creation and Destruction
#
defaultClusterOptions <- NULL
#**** check valid cluster option
initDefaultClusterOptions <- function(libname)
{
rscript <- file.path(R.home("bin"), "Rscript")
port <- as.integer(Sys.getenv("R_PARALLEL_PORT"))
if (is.na(port)) port <- 10187
options <- list(port = port,
timeout = 60 * 60 * 24 * 30, # 30 days
master = Sys.info()["nodename"],
homogeneous = TRUE,
type = "PSOCK",
outfile = "/dev/null",
rscript = rscript,
user = Sys.info()["user"],
rshcmd = "ssh",
manual = FALSE,
methods = TRUE,
renice = NA_integer_,
## rest are unused in parallel
rhome = R.home(),
rlibs = Sys.getenv("R_LIBS"),
scriptdir = file.path(libname, "parallel"),
rprog = file.path(R.home("bin"), "R"),
snowlib = .libPaths()[1],
useRscript = TRUE, useXDR = TRUE)
defaultClusterOptions <<- addClusterOptions(emptyenv(), options)
}
addClusterOptions <- function(options, new) {
if (!is.null(new)) {
options <- new.env(parent = options)
names <- names(new)
for (i in seq_along(new))
assign(names[i], new[[i]], envir = options)
}
options
}
getClusterOption <- function(name, options = defaultClusterOptions)
get(name, envir = options)
setDefaultClusterOptions <- function(...) {
list <- list(...)
names <- names(list)
for (i in seq_along(list))
assign(names[i], list[[i]], envir = defaultClusterOptions)
}
makeCluster <-
function (spec, type = getClusterOption("type"), ...)
{
switch(type,
PSOCK = makePSOCKcluster(spec, ...),
FORK = makeForkCluster(spec, ...),
SOCK = snow::makeSOCKcluster(spec, ...),
PVM = snow::makePVMcluster(spec, ...),
MPI = snow::makeMPIcluster(spec, ...),
NWS = snow::makeNWScluster(spec, ...),
stop("unknown cluster type"))
}
stopCluster <- function(cl = NULL)
{
cl <- defaultCluster(cl)
if(identical(cl, get("default", envir = .reg)))
assign("default", NULL, envir = .reg)
UseMethod("stopCluster")
}
stopCluster.default <- function(cl) for (n in cl) stopNode(n)
#
# Cluster Functions
#
sendCall <- function (con, fun, args, return = TRUE, tag = NULL)
{
timing <- .snowTimingData$running()
postNode(con, "EXEC",
list(fun = fun, args = args, return = return, tag = tag))
if (timing)
.snowTimingData$enterSend(con$rank, start, proc.time()[3L])
NULL
}
recvResult <- function(con)
{
if (.snowTimingData$running()) {
start <- proc.time()[3L]
r <- recvData(con)
end <- proc.time()[3L]
.snowTimingData$enterRecv(con$rank, start, end, r$time[3L])
}
else r <- recvData(con)
r$value
}
checkForRemoteErrors <- function(val)
{
count <- 0
firstmsg <- NULL
for (v in val) {
if (inherits(v, "try-error")) {
count <- count + 1
if (count == 1) firstmsg <- v
}
}
## These will not translate
if (count == 1)
stop("one node produced an error: ", firstmsg, domain = NA)
else if (count > 1)
stop(count, " nodes produced errors; first error: ", firstmsg, domain = NA)
val
}
recvOneResult <- function (cl) {
if (.snowTimingData$running()) {
start <- proc.time()[3]
v <- recvOneData(cl)
end <- proc.time()[3]
.snowTimingData$enterRecv(v$node, start, end, v$value$time[3])
}
else v <- recvOneData(cl)
list(value = v$value$value, node = v$node, tag = v$value$tag)
}
findRecvOneTag <- function(cl, anytag) {
rtag <- NULL
for (node in cl) {
if (is.null(rtag))
rtag <- node$RECVTAG
else if (rtag != node$RECVTAG) {
rtag <- anytag
break;
}
}
rtag
}
### ========== snow support ===========
## place holder for now.
.snowTimingData <-
list(running = function() FALSE,
enterSend = function(...) {},
enterRecv = function(...) {})
closeNode.NWSnode <- function(node) snow::closeNode.NWSnode(node)
recvData.MPInode <- function(node) snow::recvData.MPInode(node)
recvData.NWSnode <- function(node) snow::recvData.NWSnode(node)
recvData.PVMnode <- function(node) snow::recvData.PVMnode(node)
recvOneData.MPIcluster <- function(cl) snow::recvOneData.MPIclusted(cl)
recvOneData.NWScluster <- function(cl) snow::recvOneData.NWScluster(cl)
recvOneData.PVMcluster <- function(cl) snow::recvOneData.PVMcluster(cl)
sendData.MPInode <- function(node, data) snow::sendData.MPInode(node, data)
sendData.NWSnode <- function(node, data) snow::sendData.NWSnode(node, data)
sendData.PVMnode <- function(node, data) snow::sendData.PVMnode(node, data)
stopCluster.MPIcluster <- function(cl) snow::stopCluster.MPIcluster(cl)
stopCluster.NWScluster <- function(cl) snow::stopCluster.NWScluster(cl)
stopCluster.PVMcluster <- function(cl) snow::stopCluster.PVMcluster(cl)
stopCluster.spawnedMPIcluster <-
function(cl) snow::stopCluster.spawnedMPIcluster(cl)
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