As technology reaches its limits of improvements in microprocessor processing speeds, scientists and engineers have to find viable solutions to meet ever-increasing demands for faster processing speed. One such solution is parallel processing. No longer does one have to wait on sequential operations. A specific task can be split in sub-tasks that can run simultaneously, thus reducing the overall execution time of the task.

The design and implementation of these systems is crucial to the effectiveness of parallel systems. A dual-processor SMPPS was designed and implemented in order to demonstrate how multiple processors are a viable solution to increasing the speed of computer processing. Parallel algorithms were developed for this system and were used for performance analysis. The results show that SMPPS systems of a small scale can result in very significant increases in speed for problems characterized by fine-grain parallelism.