Performance prediction modeling of multicomputers

An efficient execution model for tree structured computations is presented. A general framework for analyzing the performance of this type of computation for any given topology is discussed. The framework is used to derive models for two widely used parallel programming strategies: processor farms and divide and conquer. The models were validated on a large multicomputer, and it was shown that their accuracy is such that they can be used to predict the performance of applications that use the above strategies. The use of these models to evaluate performance and to restructure the application to improve performance is discussed