Parallel computing techniques allow R users to speed up model building and data processing. Learning these methods is vital for optimizing performance and processing large volumes of data efficiently.

Machine Learning in R: Speed up Model Building with Parallel Computing

Make your Analysis 4x faster | Multi core processing with R

How to run your R code in parallel with the furrr package (CC127)