在大数据时代,制约并行计算发展的掣肘正在发生改变,为分布式并行计算带来了前所未有的机遇和挑战.回顾了并行计算的发展和大数据环境下的新变化;结合硬件环境、计算模式、以及应用需求等对于并行计算模型研究的影响,综述了面向批处理、面向流处理、面向图数据以及面向内存等几类并行计算模型的相关研究;展望了其发展趋势.
In the era of big data, the changing of the constraints gives the parallel computingopportunities and challenges for developing. This paper reviewed the new progress and changesof the parallel computing; combining with the effects of the hardware environments, computingpattern, application requirements on the parallel computing, the relevant research on batch-ori-ented parallel computing model, streaming-oriented parallel computing model, graph-orientedparallel computing model and in-memory parallel computing model are summarized; Finally, thefuture development trends are evaluated.