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Description: GPU实现的MapReduce framework,对于学习并行编程和cuda平台的编程方面有着极好的参考价值,里面附带论文。用户要求有NViDIA显卡,并且安装cuda编程环境。-We design and implement Mars, a MapReduce framework, on graphics
processors (GPUs). MapReduce is a distributed programming
framework originally proposed by Google for the ease of development
of web search applications on a large number of commodity
CPUs. Compared with CPUs, GPUs have an order of magnitude
higher computation power and memory bandwidth, but are harder
to program since their architectures are designed as a special-purpose
co-processor and their programming interfaces are typically for
graphics applications.
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Size: 7930880 |
Author: 陈思远 |
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