One of the hidden gems of SAS Studio is the ability to run process flows in parallel. This feature really shines when used in a grid environment. Let’s discuss this one step at a time. First, what is a process flow? When working in the Visual Programmer perspective, you have
Tag: parallel processing
I recently received a call from a colleague that is using parallel processing in a grid environment; he lamented that SAS Enterprise Guide did not show in the work library any of the tables that were successfully created in his project. The issue was very clear in my mind, but
Scalability is the key objective of high-performance software solutions. “Scaling out” is a concept which is accomplished by throwing more server machines at a solution so that multiple processes can run in dedicated environments concurrently. This blog post will briefly touch on several scalability concepts that affect SAS.
Do your SAS programs read extra-large volumes of data? Do they run multiple DATA steps and procedures one after the other for hours at a time? Two papers from MWSUG 2013 show how you can speed up those long-running SAS jobs. Although their approaches and environments differed, both authors made