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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
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一个利用mapreduce框架实现的重复文档检测-Using the framework of realization of a repetition of the document mapreduce Detection
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最新版本的用于GPU上面进行MapReduce程序开发的编程框架-The latest version of the GPU for which MapReduce program development programming framework
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一个采用python编写的mapreduce开源框架，代表了并行计算的未来。-A mapreduce open source framework written in python, represent the future of parallel computing.
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MapReduce框架实现的单源最短路径算法(SSSP, Single-source Shortest Path)，包含源文件及数据。sssp.c是MapReduce实现，ss seq.cpp是串行的普通实现。-An implementation of single-source shortest path with MapReduce framework. Contains source code and dataset. In the folder, sssp.c is the MapRed
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