Running R code in parallel can be very useful in speeding up performance. Basically, parallelization allows you to run multiple processes in your code simultaneously, rather than than iterating over a list one element at a time, or running a single process at a time

There are a variety ways you can parallelise R code.  It can be either multithreaded (in one node) or mpi (spanning several nodes).

You might find these sites useful:

Please adhere to ADA best practise as advised in the pages on this site.  The cluster is a shared resource and you must respect other users.