Our 5th SID featured Stu Sztukowski telling us about rsubmit in some detail!

Brief:

Cores and memory are cheaper than ever. 32-core, 64-thread processors are even available to regular consumers now, yet many SAS programs tend to take advantage of few of those cores, reading huge datasets row-by-row. We'll talk about examples and simple code that use rsubmit to break your data into chunks processed in parallel, taking greater advantage of your cores and memory and speeding up your SAS programs. At the end, we'll briefly touch on native parallel processing in Viya and how you can set yourself up to take advantage of it.

We'll talk about: