Software engineering issues for small-scale parallelism

The availability of low-cost commodity multiprocessor machines change the nature of mainstream programming. This discipline is required to include small-scale, dual and quadruple processor machines, to remain competitive. These small-scale parallel systems require software engineering principles capable of encapsulating the complex parallel programming issues. This paper discusses a technique that provides a simple model for incorporating parallel programming in a scheduler. This model can dynamically adjust to single and small-scale multiple processor environments.