Software

Faster Results by Multi-Threading Data Steps

Download Now Free registration required

Executive Summary

Many SAS users run programs on systems with multiple processors. Starting with SAS9, certain intensive SAS procedures take can advantage of these multiple processors to reduce run-time, and make more effective use of system resources. Many users have long running data steps, which could also benefit from parallel execution. This paper discusses how, and when to multi-thread an intensive data step, along with all the considerations need to do so. Topics covered include partitioning, I/O parallelism and SPDE/SPDS, run-time tracking, inter-row dependencies, thread execution, and re-joining. An example parallel data step macro package will also be included.

  • Format: PDF
  • Size: 192.4 KB