Running multiple instances of a sequential application can allow you to do parallel programming without actually doing parallel programming. There are a large number of ways to approach this, depending on the structure of the application.
If your program is analyzing a large number of different scenarios, or is analyzing a large number of independent data sets, one easy and effective approach is to create a single sequential program that carries out a single analysis, then use any of a number of scripting environments (for example the bash shell) to run a number of instances of this sequential program in parallel. In some cases, this approach can be easily extended to a cluster of machines.
This approach may seem like cheating, and in fact some denigrate such programs as ``embarrassingly parallel''. And in fact, this approach does have some potential disadvantages, including increased memory consumption, waste of CPU cycles recomputing common intermediate results, and increased copying of data. However, it is often extremely effective, garnering extreme performance gains with little or no added effort.
Paul E. McKenney 2011-12-16