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

Autor: Hongkui Gao, Xiao Nong, Shouren Hu
Rok vydání: 2002
Předmět:
Zdroj: Proceedings of 28th Southeastern Symposium on System Theory.
DOI: 10.1109/ssst.1996.493543
Popis: 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.
Databáze: OpenAIRE