R Parallel computing: select which objects to be distributed into cores

Question

I have a question related to r-parallel computing. I am using something like:

cl.tmp = makeCluster(10, type="SOCK")
registerDoParallel(cl.tmp)
AA <- foreach(i = 1:48, .inorder = TRUE, .combine = rbind, .verbose=TRUE) %dopar% {
# A function that depends on some selected objects in current environment
}
stopCluster(cl.tmp)

How to identify some particular objects in the current environment to be distributed into processor cores and so be used for some functions? I do not need R to copy the whole objects in the environment into different cores, but only some selected objects. In my project, I have big R objects and I do not need to copy/distribute them into cores, to avoid ram problems. Is there a solution for that?

Thanks

Answer 1

Take a look at this: reading global variables using foreach in R

Only variables referenced inside the foreach loop are copied from the global environment.