Analytic models predicting speedups in parallel platforms are notoriously difficult to obtain.
The system proposed by them parametrizes scalability of computation using three quantities that are in turn functions of the number of processors. On the scalability of Asynchronous Parallel Compu- tations . Accurate analytic methods for this do not exist and learning about how all PDE solvers run on all such configurations is impractical. However , a few relatively simple models of parallel computations are useful in predicting speedup. It combines neuro fuzzy techniques with epistemic utility criterion.