You don't specify processors. Just invoke the worker functions with the
relevant packages and they will be allocated according to how you defined the
cluster object... typically automatically. Processors are usually specified (to
the cluster object) according to IP address. Cores within the processors are
allocated according to how many processes are created.
Maybe you should read some documentation (vignettes), and/or look into R-sig-hpc
(https://stat.ethz.ch/mailman/listinfo/r-sig-hpc). This is probably not the best
place to pursue this.
On November 4, 2022 12:35:11 PM PDT, akshay kulkarni <akshay_e4 at
hotmail.com> wrote:>Dear members,
> I want to send the same function with
different arguments to different processors. This solution was provided in Stack
Overflow
https://stackoverflow.com/questions/25045998/send-function-calls-with-different-arguments-to-different-processors-in-r-using
>[https://cdn.sstatic.net/Sites/stackoverflow/Img/apple-touch-icon at
2.png?v=73d79a89bded]<https://stackoverflow.com/questions/25045998/send-function-calls-with-different-arguments-to-different-processors-in-r-using>
>Send function calls with different arguments to different processors in R
using parallel package - Stack
Overflow<https://stackoverflow.com/questions/25045998/send-function-calls-with-different-arguments-to-different-processors-in-r-using>
>Teams. Q&A for work. Connect and share knowledge within a single
location that is structured and easy to search. Learn more about Teams
>stackoverflow.com
>I have a 48 core processor. My question is, how do i loop through the cores
without explicitly mentioning the core numbers?
>Will this work?
>
>
>
>library(parallel)
>cl <- makeCluster(4)
>clusterExport(cl, "foo")
>cores <- seq_along(cl)
>r <- clusterApply(cl[cores], cores, function(core) {
>
> for(i in 1:48) {
>
> if (core ==i) {
>
> foo( x[i] )
>
>}
>}
>})
>
>Many thanks in advance......
>
>Thanking you,
>Your sincerely,
>AKSHAY M KULKARNI
>
> [[alternative HTML version deleted]]
>
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