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PAN Wei, LI Zhan-Huai. Development of parallel computing models in the big data era[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 43-54. doi: 10.3969/j.issn.1000-5641.2014.05.004
Citation:
PAN Wei, LI Zhan-Huai. Development of parallel computing models in the big data era[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 43-54. doi: 10.3969/j.issn.1000-5641.2014.05.004
PAN Wei, LI Zhan-Huai. Development of parallel computing models in the big data era[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 43-54. doi: 10.3969/j.issn.1000-5641.2014.05.004
Citation:
PAN Wei, LI Zhan-Huai. Development of parallel computing models in the big data era[J]. Journal of East China Normal University (Natural Sciences), 2014, (5): 43-54. doi: 10.3969/j.issn.1000-5641.2014.05.004
School of Computer Science and Technology, Northwestern Polytechnical University, Xi’an,710072, China2. Guangdong Key Laboratory of Popular High Performance Computers，Shenzhen Key Laboratory of Service Computing and Applications, Shenzhen, 518000, China
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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