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The application of a distributed memory MIMD (multiple-instruction multiple-data) computer architecture to simulate growth during molecular-beam epitaxy is discussed. The stochastic nature of the problem and the spatial distribution of the lattice onto an array of processors leads to the development of some new ideas and constructs to ensure the system follows the correct dynamical evolution. Performance statistics for the parallel implementation and comparisons of morphological indicators with the sequential model are presented. © 1995 American Institute of Physics.

Many of the early quality models have followed a hierarchical approach in which a set of factors that affect quality are defined, with little scope for expansion. More recent models have been developed that follow a 'Define your own' approach with locally tailored factors. The aim of this study is to present a new model to software quality assurance which addresses the problems of theses approaches and includes quality factors that represent a common set of criteria while allowing tailoring to a local environment. In addition the proposed model allows the quality factors to be determined and analysed in an integrated, adaptable fashion.