How to use parallel library In R Language

The parallel is a base package that was included in R 2.14.0. It expands on the work done for CRAN packages multicore and snow and offers drop-in substitutes for the majority of those packages’ capabilities,

You can import the library using the following command:

library(parallel)

You can also check the number of cores in your system using the library. The following code does the same:

R




library(parallel)
detectCores()


Output:

8

Parallel processing using “parallel” in R

Parallel processing allows your application to do more tasks in less time. These assist in solving significant issues. In this article, we are going to look at how we can do parallel processing using the parallel library in R Programming Language.

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