A parallelizing translator for object-oriented large-grain data flow model

Abstract

The paper introduces object-oriented large-grain data flow model and a parallelizing translator for the model. We design an efficient program partitioning algorithm based on objects for distributed system. Program restructuring according to the parallel model is automatically implemented by the translator.