View source: R/Rparutilities.R
| mpi.apply | R Documentation |
An array (length <= total number of slaves) is scattered to slaves so that the first
slave calls FUN with arguments x[[1]] and ..., the second one
calls with arguments x[[2]] and ..., and so on. mpi.iapply is a
nonblocking version of mpi.apply so that it will not consume CPU on master node.
mpi.apply(X, FUN, ..., comm=1)
mpi.iapply(X, FUN, ..., comm=1, sleep=0.01)
X |
an array |
FUN |
a function |
... |
optional arguments to |
comm |
a communicator number |
sleep |
a sleep interval on master node (in sec) |
A list of the results is returned. Its length is the same as that of x. In
case the call FUN with arguments x[[i]] and ... fails on ith
slave, corresponding error message will be returned in the returning list.
Hao Yu
#Assume that there are at least 5 slaves running
#Otherwise run mpi.spawn.Rslaves(nslaves=5)
#x=c(10,20)
#mpi.apply(x,runif)
#meanx=1:5
#mpi.apply(meanx,rnorm,n=2,sd=4)
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