03-21-2016 12:59 PM
Do you know how to avoid issues when sharing data across multiple parallel jobs?
Parallel processing can speed up your projects by an incredible factor, especially when programs consist of subtasks that are independent units of work and can be distributed across a grid and executed in parallel. But when these parallel execution environments are not kept in sync, parallel processing can also introduce unforeseen problems.
Read my blog post to get an illustrated walkthrough : http://blogs.sas.com/content/sgf/2016/03/01/avoid-the-pitfalls-of-parallel-jobs/