# Using Erathosthenes's Sieve to test MPI
# Load in the helper script for parallel tasks
#source("c-tools.r")
library("ctools")
c.start()
getP <- function(n){
a <- c(2:n)
I <- 2
r <- c()
while(I*I < n){
r <- c(r,a[1])
a <- a[-(which(a%%I == 0))]
I <- a[1]
}
c(r,a)
}
# Need to export this
#c.export("getP")
loopy <- function(n){
for(i in 3:n){
primes <- getP(i)
}
# We actually don't need the primes, we need CPU cycles
# and a way to check which machines are running the code
host <- Sys.info()['nodename']
print(paste("Hostname is",host))
}
# Need to export this
#c.export("loopy")
nums <- 5000:5007
# Need to export this
#c.export("nums")
# Do the actual exporting
c.export(T,"getP","loopy","nums")
#c.export(T)
c.lapply(X=nums,FUN=loopy)
c.done()
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