Researchers investigating parallel processing should be aware of Amdahl's Law, which provides an upper bound for the speedup you can obtain by running an analysis on multiple processors. SAS has provided multithreaded computations for many years, and Robert Cohen's 2002 paper, "SAS Meets Big Iron," is a good starting point to estimate the potential speedup due to distributed processing.