Learn to identify those pesky speed bottlenecks in your R code. You will run a classic numerical operation in parallel and learn to check if it helps!
Use parallelism in R for a variety of situations while efficiently managing dependencies. Turn those slow loops into smooth-running machines!
Dive deep into the use of futures in parallel programming. Learn to process vectors, lists, and data frames in parallel, all the while keeping your code easy to maintain.
Learn to manage memory for parallel processes. Make your code reproducible, and add efficient debugging to your parallel programming toolkit.