Development of parallel computing models in the big data era
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摘要: 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.Abstract: In the era of big data, the changing of the constraints gives the parallel computing opportunities and challenges for developing. This paper reviewed the new progress and changes of the parallel computing; combining with the effects of the hardware environments, computing pattern, application requirements on the parallel computing, the relevant research on batchoriented parallel computing model, streamingoriented parallel computing model, graphoriented parallel computing model and inmemory parallel computing model are summarized; Finally, the future development trends are evaluated.
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Key words:
- big data /
- computational model /
- parallel computing
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