基于异构模式的云计算关键技术研究

Abstract

Abstract:

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.

Key words: cloud computing, GPU, CUDA, parallel programming model, distributed storage, virtualization

CLC Number:

TP393

ZHANG Qing-Ke, YANG Bo, WANG Lin, CHEN Zhen-Xiang. esearch on heterogeneous model based key cloud computing technologies[J].J4, 2011, 24(5): 56-62.

References

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esearch on heterogeneous model based key cloud computing technologies

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