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基于异构模式的云计算关键技术研究 被引量：2

Research on heterogeneous model based key cloud computing technologies
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摘要 结合云计算中Map/Reduce分布式编程技术引入了基于CPU-GPU异构混合并行编程模式,给出了该并行编程模式的原理和实现过程。该模式通过采用CUDA多线程并行机制提高了大规模数据处理的效率。文中对比分析了云计算中两种典型的分布式存储系统GFS和HDFS,最后从宏观角度阐释了云计算虚拟化技术的三层部署架构和基本类型。 This paper presents a CPU-GPU heterogeneous parallel programming model based on the distributed programming technology of cloud computing, Map/Reduce. This paper also gives its principle and implementation process. It improves the efficiency of large-scale data processing with the multi-thread parallel mechanism, CUDA. We contrastively analyze two typical distributed storage systems, GFS and HDFS. We eventually present the three-layer architecture and basic type of virtualization technology.
作者 张庆科 杨波 王琳 陈贞翔
机构地区 济南大学信息科学与工程学院山东省网络环境智能计算技术重点实验室
出处 《山东科学》 CAS 2011年第5期56-62,共7页 Shandong Science
基金 国家973计划前期研究专项基金(2010CB635117) 国家自然科学基金(60873089 60573065 60673130 90818001 F020804) 山东省自然科学杰出青年基金(JQ200820)
关键词 云计算 图形处理器(GPU) CUDA 并行编程模型 分布式存储 虚拟化 cloud computing GPU CUDA parallel programming model distributed storage virtualization
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献13

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二级参考文献93

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共引文献2530

同被引文献14

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二级引证文献6

山东科学
2011年 第5期

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