View-oriented parallel programming and view-based consistency

Abstract

This paper proposes a novel View-Oriented Parallel Programming style for parallel programming on cluster computers. View-Oriented Parallel Programming is based on Distributed Shared Memory. It requires the programmer to divide the shared memory into views according to the nature of the parallel algorithm and its memory access pattern. The advantage of this programming style is that it can help the Distributed Shared Memory system optimise consistency maintenance. Also it allows the programmer to participate in performance optimization of a program through wise partitioning of the shared memory into views. The View-based Consistency model and its implementation, which supports View-Oriented Parallel Programming, is discussed as well in this paper. Finally some preliminary experimental results are shown to demonstrate the performance gain of View-Oriented Parallel Programming.